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Job Description We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs. Responsibilities: • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR, • Creating and maintaining data extraction, transformation, and loading processes, • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB, • Implementing data lakes using S3 and related AWS services, • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude, • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases, • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex, • Writing and testing SQL queries and stored procedures, • Documenting technical solutions and providing knowledge transfer to customers, • Supporting the implementation of data governance and security controls, • Troubleshooting and resolving issues with data pipelines and AI services, • Participating in code reviews and implementing feedback, • Assisting with proof-of-concept implementations for customer engagements Top candidates will have the following: • Technical familiarity with AWS data and AI/ML services and modern data engineering practices, • Hands-on experience with ETL/ELT processes and data transformation, • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks, • Ability to write and optimize SQL queries across various database platforms, • Knowledge of data modeling concepts and best practices, • Strong analytical and problem-solving skills, • Eagerness to learn new technologies and keep up with cloud and AI innovations, • Excellent communication skills with the ability to explain technical concepts clearly, • Attention to detail and commitment to solution quality, • Collaborative mindset with strong teamwork capabilities, • Experience or interest in automation and infrastructure as code Required Experience for the Role: • Must have 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development, • Must have 2+ years of hands-on AWS experience with production deployments, • Must have 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents), • Must have a proven track record delivering production AI applications from concept to deployment, • Must have strong understanding of software engineering best practices (version control, testing, code review, documentation), • Must have experience working in agile/scrum environments with distributed teams, • Must have excellent problem-solving skills and ability to work independently with minimal supervision, • Must have strong written and verbal communication skills for client-facing interactions The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description REV Renewables, an LS Power company, is a leading developer, owner, and operator of renewable energy and energy storage projects across North America. With over 2.9 GW of operating assets and a robust development pipeline—REV is at the forefront of the clean energy transition. Our mission is to deliver affordable, reliable, and clean electric power to all. Through a commitment to innovation, REV continuously adapts to the evolving regulatory, environmental, and market landscape to deliver optimized energy solutions. Learn more at . Job Summary: The Head of Strategy & Government Affairs leads our integrated corporate strategy agenda and external policy posture—connecting market intelligence, financial analysis, and regulatory/policy priorities to identify investment opportunities and mitigate risks across the company. This is a highly dynamic role, requiring an ability to move quickly in fast-moving and uncertain situations. This will be a high-visibility role with regular exposure and interaction with the ELT and CEO. This individual must be able to assess complex topics thoroughly, but also quickly synthesize and communicate conclusions to assist in decision making. We are seeking a candidate who has strong power market and regulatory/policy experience as well as proven leadership and communication skills. Duties/Responsibilities: • Develop, refine, and operationalize a multi-year corporate strategy, working dynamically with the ELT to identify and assess investment opportunities, test with external stakeholders, and deploy within the company., • Analyze and translate market trends into insights that assist in company decision-making., • Maintain and continue to expand REV’s power market models with a focus on competitive U.S. power markets., • Own the company’s policy plan and advocacy agenda across federal and state arenas; proactively shape legislative/regulatory outcomes that impact development, operations, supply chain, financing, etc., • Oversee the company’s engagement with legislators, executive agencies, public utility commissions, and ISO/RTOs (e.g., FERC, PJM, CAISO, MISO) to influence rulemakings, dockets, and market design., • Manage the Strategy and Government Affairs teams in day-to-day operations, including responding to ad-hoc needs across the company in a dynamic and flexible way., • Develop all investor & Board level communications with the ELT., • Bachelor’s degree required. Advanced degree preferred., • 5+ years in power or energy markets with a proven impact in the renewables/utility sector., • Mastery of financial modeling especially as it relates to power generation assets., • Mastery of power market analysis, with a strong understanding of U.S. competitive power markets., • Strategic thinker with strong analytical capabilities, power market knowledge, and executive communication skills., • Strong negotiation, presentation, and stakeholder management skills., • Must be able to sit/stand at a desk, using a computer workstation., • The employee is occasionally required to climb, balance, stoop, kneel, crouch, reach with hands and arms, walk; lift push or pull objects up to 20 pounds., • Must be able to handle long periods of screen time and typing. At REV Renewables, we’re not just transforming the energy landscape—we’re building a workplace where people thrive. Our mission is to accelerate the decarbonization of the electricity supply while ensuring affordability, reliability, and resilience. We do this by empowering our team with purpose, support, and opportunity. Our Core Values • Integrity First – We uphold the highest ethical standards in everything we do., • Teamwork – We foster a collaborative, inclusive, and fun work culture., • Ownership Mindset – We take accountability and act in the long-term interest of our stakeholders., • Thought Leadership – We are creative, purposeful, and diligent in our decision-making. REV is proud to provide a comprehensive and competitive benefits package designed to support employees’ well-being and long-term success. Below are just a few examples: • Employer-sponsored Medical, Dental, and Vision coverage for employees and their eligible dependents., • Health Reimbursement Arrangement (HRA) and Flexible Spending Accounts (FSA)., • Company-paid Life, AD&D, and Long-Term Disability Insurance., • 401(k) with employer contributions., • Generous Time Away policies. REV Renewables is proud to be an Equal Employment Opportunity Employer. We are committed to fostering a workplace rooted in mutual respect, where all applicants and employees are valued and supported. Employment decisions are made without regard to race, color, religion, sex, pregnancy, national origin, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. Disclaimer to Agencies: Please be advised we do not accept third-party resumes unless previously agreed to by Human Resources and the Agency.

Job DescriptionCompany Description Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto. We work closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes and are committed to building lasting partnerships with our clients. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-House Center Support, Services Optimization, Sourcing Program Management Read more at . Job Description As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership. Key Responsibilities • Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation., • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value., • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)., • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations., • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence., • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance., • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings., • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level., • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.)., • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements., • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake)., • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR)., • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments., • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level., • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context. As a part of the Wavestone team, you will be constantly engaged with projects and opportunities that will develop your skills and advance your career. Wavestone hires the brightest, creative, and most dedicated candidates, developing them into confident and knowledgeable leaders and business experts. Our collaborative culture ensures that—from Day 1—you become an integral member of the Wavestone team. Qualifications • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience., • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role., • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment., • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow)., • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake)., • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus., • Exceptional problem-solving, analytical, and communication skills., • Industry exposure: Deep experience in Insurance, Pharma, or Financial Services Additional Information Our commitment: Wavestone’s Positive Way At Wavestone, we believe our employees are our greatest ambassadors. By embodying our shared values, vision, mission, and corporate brand, you'll become a powerful force for positive change. We are united by a shared commitment to making a positive impact, no matter where we are. This is better defined by our value base, "The Positive Way," which serves as the glue that binds us together: • Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances, we can always choose how we respond to them., • Responsible - We act with integrity and take ownership of our decisions and actions, considering their impact around us. Benefits • 25 PTO / 6 Federal Holidays / 4 Floating Holidays, • 4 months parental leave to birthing parent / 2 months to supporting parent, • Medical / Dental / Vision coverage, • 401K Savings Plan with Company Match, • HSA/FSA, • Up to 4% bonus based on personal and company performance with room to grow as you progress in your career, • Regular Compensation increases based on performance This full-time position is based in our New York office. You must reside or be willing to relocate within commutable distance to the office. Travel requirements tend to fluctuate depends on your projects and client needs Diversity and Inclusion Wavestone seeks diversity among our team members and is an Equal Opportunity Employer. At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this. Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!!

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake., • Own and guide the development of our data infrastructure., • Orchestrate complex data workflows using Dagster., • Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work., • Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods., • Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience, • 7+ years experience in engineering, with at least 5 years of experience in a data engineering role, • Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries, • High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations, • Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus, • Experience with data exploration, profiling, governance, visualization, and activation, • Proven ability to thrive in an ambiguous and rapidly changing environment, • Experience working with sensitive data in a regulated environment, • Expertise in healthcare and/or revenue cycle management is a plus, • You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist - Growth and Marketing, you'll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling & causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making, • Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design, • Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity, • Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), & align on consistent metric definitions (e.g. CAC, conversion, retention), • Develop spend optimization & channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes, • Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules & guardrails for each approach, • Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigorRequirements, • 7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams, • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders, • Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.), • Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation, • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement), • Excellent ability to communicate, collaborate, and influence business partners at all levels, • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/weekBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description About Atria Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. Atria Health is seeking a Senior Software Engineer for our Data Engineering team to support engineering efforts across our data infrastructure, pipelines, and analytics platforms. This senior individual contributor role is responsible for designing and building scalable data systems, mentoring engineers, and partnering with domain product teams (Clinical Experience, Member Experience, and Care Delivery) to deliver reliable, high-quality data that powers insights and decision-making. Your work will directly enable Atria’s long term research ambitions and enable our physicians to derive novel clinical insights. You'll own complex data initiatives from design through implementation while establishing best practices that elevate the entire engineering organization. Tech Stack • Languages: Python, SQL, • Data Processing: Dagster, dbt, • Infrastructure: Google Cloud Platform, Terraform, Kubernetes, Docker, • Data Storage: Snowflake, PostgreSQL, MySQL, • Streaming: Pub/Sub, Kafka, • CI/CD: GitHub Actions, • Monitoring & Observability: Datadog, Grafana, OpenTelemetryKey ResponsibilitiesData Infrastructure & Pipelines, • Design, build, and maintain scalable data pipelines and ETL/ELT workflows, • Help to own and improve our data warehouse architecture in Snowflake, • Implement data modeling best practices to support analytics and reporting needs, • Drive data quality initiatives, including validation, testing, and monitoring frameworksCross-Team Collaboration, • Partner with product engineering teams to design data contracts and integrate data capture into applications, • Work closely with Analytics and Business Intelligence teams to understand reporting needs and deliver reliable data products, • Collaborate with Security and Compliance to implement data governance and privacy best practices, • Partner with Product and Engineering leadership on data strategy and technical roadmapsSupport Research and Clinical, • Collaborate with Clinicians and Clinical Researchers to ensure they have the data available to deliver on their projects and support patient care, • Work with our Analysts to decrease latency, improve testability and integrate with de-identification providers to meet our goals and regulatory needsMentorship & Culture, • Mentor and coach more junior data engineers, fostering growth and technical development, • Establish and document data engineering standards, patterns, and best practices Compensation: $190,000-$250,000 Requirements Required • 7+ years of software engineering experience, with 3+ years focused on data engineering, • Deep experience with cloud data platforms, such as Snowflake and BigQuery, • Proficiency with data pipeline orchestration tools (Airflow, Dagster, or similar), • Strong SQL skills and experience with data modeling and warehouse design, • Experience with data transformation tools such as dbt or Spark, • Demonstrated ability to lead technical initiatives and influence without direct authority, • Excellent communication skills and ability to translate complex technical concepts for varied audiencesPreferred, • Experience in healthcare technology or other regulated industries, • Familiarity with streaming data architectures and real-time processing, • Experience building and scaling data quality and observability platforms, • Track record of improving data accessibility and self-service analytics capabilities At Atria, we are proud to offer every member of the Atria team: • Excellent health and wellness benefits, 100% paid by Atria effective date of hire, • OneMedical membership for employees & dependents giving access to 24/7 virtual care, • Fertility & family planning, • Company-covered preventive health screenings through partner hospitals (Calcium score), • Fitness Perks including Wellhub +, • 401k contributions and 4% match starting after 6 months, • Flexible Time Off, • Continuing medical education (CME) and CEU support for professional licensure, • Time to give back and make an impact in underserved communities

Job DescriptionAmalgamated Bank seeks a HR Director, SVP that will serve as a key member of the Human Resources and Executive Leadership Team (ELT). This strategic leader is responsible for overseeing the bank’s Human Resources Business Partner (HRBP) teams, ensuring alignment with divisional goals, and leading enterprise-wide Talent Acquisition. The SVP, HR Director will directly support the Banking & Investments and Risk divisions, acting as a trusted advisor and strategic partner to divisional leadership.Key Responsibilities • Strategic HR Leadership: Develop, implement, and execute HR strategies that support the overall business objectives of the bank. Drive organizational effectiveness, workforce planning, and change management initiatives across all divisions., • HR Business Partner Management: Lead and manage a team of strategic HR Business Partners aligned to the bank’s major divisions, ensuring consistency in HR practices, policy implementation, and talent strategies., • Talent Acquisition: Oversee the Talent Acquisition function, ensuring the bank attracts, hires, and retains top talent. Develop and execute recruitment strategies that align with the bank’s mission and goals, as well as future workforce needs., • Divisional HR Support: Act as the primary HR leader supporting the Banking & Investments and Risk divisions, partnering with divisional executives to identify business needs, drive talent management initiatives, and resolve complex employee relations matters., • Executive Collaboration: Advise and influence executive leadership on organizational design, succession planning, performance management, and employee engagement., • Compliance and Best Practices: Ensure HR programs and policies are compliant with federal and state regulations. Stay current with industry trends and best practices to maintain a competitive edge in HR management., • Culture and Engagement: Champion the bank’s values and culture by leading initiatives that foster a positive, inclusive, and high-performing workplace.Qualifications, • Bachelor’s degree in Human Resources, Business Administration, or related field required; Master’s degree or HR certifications (SPHR, SHRM-SCP) preferred., • Minimum 12 years of progressive HR experience, including senior leadership roles within large, complex financial institutions., • Demonstrated experience managing HR Business Partners and Talent Acquisition functions., • Proven track record supporting multiple business divisions., • Strong strategic thinking, business acumen, and executive presence., • Excellent communication, interpersonal, and relationship-building skills. Our job titles may span more than one career level. The starting base salary for this role is between $180,000 – $225,000. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas. Hybrid Work Model Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”. Search Firm Representatives- Please Read Carefully Amalgamated Bank does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for the position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data science, analytics engineering, business intelligence, SQL analysis, experimentation, data engineering, and structured data workflow review. This role supports current and upcoming remote consulting opportunities focused on structured data science review, analytics workflow analysis, business intelligence assessment, experimentation review, data pipeline evaluation, metric documentation, and high-quality project execution. Selected professionals will apply their data and analytics expertise to review realistic technical scenarios, evaluate analytical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Analytics, BI & Metric Review • Review data scenarios involving SQL analysis, ad-hoc business questions, dashboard specifications, metric definitions, funnel analysis, cohort analysis, and reporting outputs, • Evaluate analytical outputs against source data, defined business logic, expected numerical results, and documented requirements, • Support structured review of SQL queries, BI dashboards, dashboard specs, metric documentation, and analytical summaries, • Review experimentation scenarios involving A/B test design, readouts, lift calculations, statistical significance, guardrail metrics, and decision criteria, • Evaluate experiment outputs against defined metrics, expected values, testing assumptions, and analytical standards, • Support structured review of data science workflows, Python-based analyses, statistical outputs, and business interpretation materials, • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow or Dagster DAGs, and pipeline documentation, • Evaluate pipeline outputs, schemas, transformations, orchestration logic, and data quality checks against documented requirements, • Support structured review of data artifacts such as dbt models, schema diagrams, data contracts, test suites, DAGs, and warehouse documentation Strong candidates may have: • 3+ years of experience as a data scientist, analytics engineer, BI analyst, data analyst, product analyst, data engineer, decision scientist, or related data professional, • Working fluency in at least two areas such as advanced SQL, dbt, data warehousing, Snowflake, BigQuery, Redshift, experimentation, A/B testing, pipeline orchestration, metric modeling, or Python for analysis, • Familiarity with tools such as SQL, Python, dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, Mode, Hex, Metabase, Power BI, or similar data and analytics systems, • Comfort reading and preparing data artifacts such as SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams, metric definitions, and pipeline documentation, • Strong written communication skills and ability to explain data decisions clearly, • A degree or professional background in data science, statistics, mathematics, computer science, economics, engineering, business analytics, information systems, or a related quantitative field is helpful, • Experience in product, consumer, SaaS, marketplace, fintech, e-commerce, or data-mature company environments, • Familiarity with experimentation frameworks, metric governance, data quality monitoring, warehouse design, pipeline orchestration, or modern data stack workflows, • Experience preparing or reviewing SQL queries, dbt models, experiment readouts, dashboards, schema diagrams, funnel analyses, cohort reports, or data documentation, • Experience with Python-based analysis, statistical testing, data modeling, analytics engineering, or pipeline QA, • Apply data science and analytics expertise to structured remote project work, • Contribute to high-quality analytics review, experimentation assessment, BI documentation, and data pipeline workflow analysis, • Work on flexible, project-based assignments aligned with your technical background, • Use your data judgment in a focused, detail-oriented technical environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $75–$130 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job Description Our client is an AI-powered Healthtech software startup in New York City, NY building infrastructure solutions to automate administrative tasks for the healthcare industry, reducing processing time, errors and ultimately resulting in cost savings and improved patient outcomes. Qualified candidates will have a minimum 3+ years of hands-on professional experience building data pipelines, data warehouses and analytics infrastructure in production environments. Applicants must have hands-on experience with the following technologies: SQL, Python (or R), at least one modern data warehouse (Databricks, Redshift, Snowflake, BigQuery) and RDBMS (Postgres, MySQL). BSCS or equivalent is required and top-tier universities are preferred. Candidates should have startup experience and the desire to work in a fast-paced environment. The Data Engineer will build data pipelines, ETL/ELT with modern orchestration tools (Airflow, DBT, Dagster), and any experience in Healthtech and/or HL7 or regulated data environments are a plus. The role features competitive base salary, equity and comprehensive benefits. Please send your resume to for consideration.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data engineering, analytics engineering, ETL/ELT workflows, pipeline orchestration, data quality testing, warehouse design, and structured technical documentation processes. This role supports current and upcoming remote consulting opportunities focused on structured data pipeline review, analytics engineering workflow analysis, orchestration assessment, data quality validation, warehouse documentation, and high-quality project execution. Selected professionals will apply their data engineering expertise to review realistic pipeline scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Pipeline Development & ETL/ELT Review • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, incremental logic, watermark behavior, transformations, and output tables, • Evaluate pipeline outputs against defined data contracts, expected table structures, source materials, and transformation requirements, • Support structured review of SQL models, dbt projects, pipeline documentation, transformation logic, and data processing workflows, • Review orchestration scenarios involving Airflow, Dagster, Prefect, scheduled jobs, DAG dependencies, retries, and workflow execution, • Evaluate data quality tests against known pass/fail cases, validation rules, test suites, and documented expectations, • Support structured review of data quality checks, pipeline test cases, orchestration documentation, and monitoring workflows, • Review warehouse design scenarios involving schemas, data models, performance targets, query-time budgets, partitioning, clustering, and storage design, • Evaluate schema designs against defined contracts, downstream requirements, performance expectations, and documented constraints, • Support structured review of data contracts, schema documentation, warehouse models, and analytics engineering artifacts Strong candidates may have: • 3+ years of experience in data engineering, analytics engineering, data platform engineering, BI engineering, warehouse engineering, or related technical roles, • Experience with one or more areas such as dbt model development, ETL/ELT pipelines, orchestration, data quality testing, warehouse design, schema documentation, incremental models, or data contracts, • Familiarity with tools and platforms such as dbt, Airflow, Dagster, Prefect, Snowflake, BigQuery, Redshift, Databricks, Spark, SQL, Python, or similar data engineering systems, • Comfort reading and preparing data engineering artifacts such as dbt models, DAGs, schema docs, data contracts, test suites, pipeline documentation, and warehouse diagrams, • Strong written communication skills and ability to explain data engineering reasoning clearly, • Bachelor's or master's degree in computer science, data engineering, information systems, software engineering, statistics, mathematics, or a related technical field is helpful, • Experience with dbt model development, data contracts, incremental models, data lineage, orchestration frameworks, or modern data stack workflows, • Familiarity with Snowflake, BigQuery, Redshift, Databricks, Spark, SQL optimization, Python-based pipelines, or cloud data platforms, • Experience preparing or reviewing DAGs, schema documentation, data quality tests, transformation logic, warehouse models, or pipeline runbooks, • Familiarity with CI/CD for data pipelines, data observability, testing frameworks, or performance tuning, • Apply data engineering and analytics engineering expertise to structured remote project work, • Contribute to high-quality pipeline review, data quality assessment, orchestration analysis, and warehouse documentation workflows, • Work on flexible, project-based assignments aligned with your professional background, • Use your data engineering judgment in a focused, detail-oriented consulting environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $95–$135 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

Job Description UNIVERSAL Technologies is seeking a Data Analytics & Reporting Specialist with experience in Power BI and Oracle Analytics Cloud (OAC) for an onsite role in Long Island City, NY to design and deliver scalable analytics solutions that translate business reporting needs into actionable insights. Active LinkedIn preferred. This role focuses on building modern reporting ecosystems using Power BI and Oracle Analytics Cloud, supported by robust data models, integration pipelines, and governance frameworks. ***Hybrid work may be considered after 90 days. ***Must be able to work for UNIVERSAL Technologies directly. WHO WE ARE UNIVERSAL Technologies is a certified Women-Owned Business Enterprise (M/WBE) specializing in IT consulting and professional services. We provide experienced technology professionals to government agencies and private-sector clients, delivering cost-effective solutions that drive innovation and operational excellence. WHAT WE OFFER • Competitive pay, • Health/Dental Insurance, • Group Life Insurance, • 401K, • HSA/FSA, • Pre-Tax Transportation Program, • Generous Paid Time Off/Holiday Policy MANDATORY SKILLS/EXPERIENCE • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field (or equivalent experience), • Minimum eight (8) years of experience building analytics and reporting solutions, including data modeling, transformations, and dashboard/report development, • Hands-on expertise developing interactive dashboards and visualizations using Power BI and Oracle Analytics Cloud (OAC), • Strong experience building and maintaining semantic layers (Power BI and OAC), datasets, dataflows, and reusable KPI definitions, • Advanced proficiency in DAX and Power Query (M), including experience with gateway/on-premises data connectivity, • Strong SQL skills with experience in Oracle (including PL/SQL, stored procedures) and SQL Server, • Experience designing and implementing ETL/ELT data integration processes with a focus on data quality, validation, and performance, • Strong data modeling expertise, including dimensional modeling, star and snowflake schemas, and development of scalable reporting models, • Experience building and maintaining automated, scalable data pipelines and integrations, • Knowledge of data governance practices including metadata management, lineage documentation, schema evolution, and KPI standardization, • Experience with Oracle Analytics Cloud features including data visualization, semantic modeling, and security configuration; familiarity with OTBI/FAW is a plus, • Working knowledge of Azure data services and Oracle/OCI ecosystem, • Experience with DevOps practices including Git-based version control and CI/CD pipelines (Azure DevOps and/or GitLab), • Proven ability to lead discovery sessions, gather requirements, and translate business needs into technical solutions, • Strong interpersonal and communication skills with the ability to bridge business and technical teams, • Demonstrated analytical, troubleshooting, and performance optimization skills SCOPE OF SERVICES • Partner with business stakeholders to define reporting needs, success criteria, and translate requirements into dashboards, reports, and metrics, • Serve as a subject matter expert for data analytics, ensuring solutions align with business objectives and user needs, • Analyze existing databases and data warehouses to identify and integrate relevant data sources for reporting, • Design, develop, and maintain Power BI and Oracle Analytics Cloud dashboards, including drilldowns, filters, and KPI scorecards, • Develop and optimize semantic models and curated datasets to enable self-service analytics, • Build and manage automated, scalable data pipelines and integrations with appropriate validation and documentation, • Ensure governance and reliability across reporting platforms, including metadata consistency, lineage tracking, and access controls, • Monitor and optimize query and report performance; troubleshoot data issues across the full data lifecycle, • Implement repeatable deployment processes using Git and CI/CD practices, • Create documentation and user guides to support data understanding and adoption across business teams, • Own deliverables end-to-end, including communication of status, risks, and timelines UNIVERSAL Technologies is an equal opportunity employer.

Job Description What You'll Do: Are you infinitely curious, always looking to dig into new problems and learning how to solve them? Are you a highly organized professional who can implement processes and procedures without destroying creativity and entrepreneurial initiative? Do you thrive digging into data to fully understand a business and identify opportunities? Do you get energy working across all levels of an organization, understanding your teammate’s contributions and working to align everyone with common objectives and outcomes? Would you like to be part of a company that helps the digital advertising ecosystem thrive and grow? If this is you, and you are looking to join a company where you can have an immediate impact, this is the job for you. IAB (Interactive Advertising Bureau) seeks an ambitious, dynamic, entrepreneurial Chief of Staff to support our CEO. You will serve as a force multiplier to the CEO and the company’s Leadership Team. In this role, you will provide critical operational and strategic support to the CEO and executive leadership team to enable efficient and effective operations. You will provide guidance and leadership around the execution of IAB strategic imperatives, deliver on the company operating plan, and enable data-informed business decisions. From day one, the Chief of Staff will have an immediate impact by taking on various must-get-done projects to help keep the business running smoothly and efficiently. You’ll significantly impact our productivity and effectiveness by streamlining operations and processes to scale the business to the next level. You should be able to thrive in ambiguity as the Chief of Staff is a living, breathing, evolving role based on the needs of the business. What You'll Do: • CEO Collaboration: Act as a critical business partner to CEO and executive leadership team., • Strategic Input: Understand digital industry challenges/opportunities to provide strategic input to business planning and operations., • Strategic Counsel to CEO: Advice the CEO on the organization’s strategic direction and leadership team’s priorities, including strategy development and employee experience. Evaluate new ideas and business opportunities; conduct analysis and research to support key decisions., • Create Synergy: Across all facets of the organization, including Centers of Excellence, Member Engagement & Development, Public Policy, Legal, Research, Marketing, Events, Professional Development & Education, Program Management, and Operations., • Leadership Team Support: Own agenda and follow-ups for all Leadership Team meetings, support Leadership Team with project execution (timelines, work plans, materials, etc.), and ensure key cross-functional stakeholders are aware of Leadership Team initiatives and held accountable for their input/work product as needed., • Optimize Operations: Facilitate the optimal operation of committees, councils, and working groups. Work to streamline processes, evaluate alternative directions to achieve optimum organizational performance, and re-engineer to consistently improve results., • Problem-Solving: Collaborate across departments to create new solutions and services for members – optimize current offerings and suggest new approaches., • Cross-Functional Project Management: Oversee and lead the Program Management Office (PMO), establishing governance, prioritization frameworks, and execution standards across all strategic initiatives. Ensure alignment to organizational priorities, drive accountability through clear milestones and KPIs, and enable consistent, high-quality delivery across teams. Serve as a centralized hub for risk identification, mitigation, and escalation, proactively addressing dependencies, gaps, and execution challenges., • Build and maintain relationships: Develop and build upon relationships across all employees to help identify and define new operational strategies and processes, address cross-team challenges, and ensure an efficient flow of information and objectives., • ELT Meeting Management: Support the productivity of executive leadership team meetings by owning the planning, agenda, notes, and follow-up items including leading the programming, planning, and execution of the annual leadership offsite., • Operational Support: Own and continuously improve company operating cadence (e.g., executive team meetings, all hands, product development, operational check-in meetings, etc.), • Data, Insights & Performance Management: Own and drive a data-forward approach across the organization, including KPI refinement, dashboarding, and performance tracking; translate data into actionable insights to inform strategy, optimize execution, and enable leadership decision-making. · Digital Media and Marketing is your Passion: You deeply understand the digital economy, have knowledge of advertising technology, AI, digital content, social media, measurement, and have a passion for advertising, marketing, and media. · Interpersonal Effectiveness: You are attuned to perceptions and how others feel and can leverage that insight to manage communication and behaviors. You have a high level of Emotional Intelligence, appreciate the impact of messaging and behaviors on others, and adapt actions to achieve goals. Demonstrates listening skills and empathy, working effectively with people of different backgrounds and diverging interests. · You Inspire Greatness: Your leadership style inspires and energizes individuals to strive towards a compelling future vision by embracing and embodying shared values and goals. · Engaging Executive Presence: You build credibility and exert influence beyond formal authority by portraying a professional image and presenting ideas clearly and confidently. · Strong Moral Compass: You are honest, forthright, and lead with integrity. You value transparency and keeping colleagues and stakeholders apprised of activities and developments. You can promptly communicate good or bad news inclusively and effectively. · You love what you do! And it shows you've been doing what you love for a while. You have years of direct experience working in Digital Media/Marketing and/or Business Management. You have a B.A./ B.S in a relevant field, and an MBA is a plus. · World Class Communicator: Some people get nervous speaking in public, but you are not one of those people. You love educating and speaking to an audience and have experience presenting to large audiences. · Solution Oriented: You're an intrepid problem-solver with a strong business sense. You're excited to dive into topics and quickly become an expert. You can distill your learning into clear, concise written summaries and reports. · Champion Effective Collaboration: You love working solo or with a team. You have experience engaging with teams cross-functionally, you know how to bring a team together to deliver results, all while considering all team members. · "Find A Way" Orientation: You are an entrepreneurial and creative thinker who wants to overcome barriers and obstacles productively and satisfactorily. · Maintains Perspective: While we operate in a fast-paced professional business environment, you know how to have fun, maintain a positive attitude and be flexible in response to changing business needs. · You are a Rock Star at Project Management: You have proven experience in project management, managing multiple projects simultaneously, and managing various constituents—a proactive approach to work is essential. PMP or other certification is a big plus. · Relationship Builder: You build and develop relationships with all employees for increased efficiency and effective responsiveness into existing operations and help to define new operational strategies. · Organizational architect: You leverage mutually beneficial relationships and networks and strategic alliances, both internally and externally, which generate opportunities for the mutual benefit of all parties. · You are digitally connected and savvy. You are highly proficient in Microsoft Office: Word, Excel, PowerPoint, Outlook, video conferencing platforms (e.g., Zoom), SharePoint. · Influencer: You can influence through respect, candor and trust. You lead and influence across multiple levels and functions of an organization. Why You'll Love IAB: · We team up. We promise you'll work with some of the industry's most innovative and exciting people. We work hard, and we have fun too. We care deeply about our work and each other. · We are purposeful, strategic, and mindful with our decisions, words, and behaviors. · Everybody sweeps. No task is ever too small for our team. We sweat the details and are not afraid to get our hands dirty. · We lead the future together and cultivate the action mindset to create it. · We cultivate curiosity, take risks, learn by doing, and reward future thinking. · We encourage all voices. Everyone is welcome and encouraged to share their thoughts and ideas. We embrace the idea that debate is healthy and know that an impassioned discourse leads to our best results. · We stay hungry. We look for the most complex challenges and tasks; once we master them, we look for the next one. We celebrate our victories and are always excited for tomorrow, knowing "good enough" is never really "good enough." Additional Information: All IAB employees must be fully vaccinated for COVID-19 as a condition of employment and, therefore, prior to job offer and hire. Religious and medical exemptions will be provided to the extent required. About IAB: The Interactive Advertising Bureau (IAB) empowers the media and marketing industries to thrive in the digital economy. Its membership comprises more than 700 leading media companies, brands, and the technology firms responsible for selling, delivering, and optimizing digital ad marketing campaigns. The trade group fields critical research on interactive advertising, while also educating brands, agencies, and the wider business community on the importance of digital marketing. In affiliation with the IAB Tech Lab, IAB develops technical standards and solutions. IAB is committed to professional development and elevating the knowledge, skills, expertise, and diversity of the workforce across the industry. Through the work of its public policy office in Washington, D.C., the trade association advocates for its members and promotes the value of the interactive advertising industry to legislators and policymakers. Founded in 1996, IAB is headquartered in New York City. The IAB Global Network brings together 45 national IABs and three regional IABs to share challenges, develop global solutions and advance the digital advertising industry worldwide. IABs are located in North America, South America, Africa, Asia Pacific, and Europe. Each association is independently owned and operated, functioning under bylaws consonant with local market needs. IAB is a proud equal-opportunity employer. We are a drug-free EEO employer committed to a diverse workforce. We will consider all qualified candidates regardless of race, color, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity, family responsibilities, disability, education, political affiliation or veteran status. For more information, please visit

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. We are leveraging cutting-edge technology to deliver superior data-driven solutions. We value innovation, collaboration, and excellence, and we are seeking a skilled Data Engineer to join our dynamic team to optimize and innovate our data infrastructure within the Snowflake ecosystem. Position Summary: As a Data Engineer, you will design, implement, and manage scalable, high-performance data solutions tailored to the needs of the financial services environment. You will be instrumental in migrating traditional relational data domains to a modern cloud data platform using Snowflake, ensuring data integrity, optimizing workflows, and integrating data governance and science tools. Your expertise will enable us to maintain a robust, cost-effective, and secure data environment. Key Responsibilities: • Design, develop, and manage scalable data storage and processing solutions within the Snowflake environment optimized for financial data workloads., • Lead the migration of existing data domains and flows from relational data stores to Snowflake, ensuring seamless transitions with minimal disruption., • Identify, analyze, and optimize new and existing data workflows to improve performance and reliability., • Implement and enforce data integrity best practices to ensure accuracy, consistency, and security of data assets., • Collaborate with data governance and data science teams to integrate relevant tools and frameworks within the Snowflake ecosystem following organizational standards., • Support development and maintenance of data models and ETL/ELT processes to guarantee high-quality data ingestion into the cloud data store., • Work closely with cross-functional teams to design and implement effective data workflows, transformations, and pipelines aligned with business goals., • Assist in the ongoing maintenance and optimization of Snowflake environments focusing on performance tuning and cost reduction strategies., • Contribute to the development of proof of concepts, detailed documentation, and best practice guides governing data management and Snowflake usage., • Participate actively in code reviews, providing constructive feedback aimed at improving code quality and team collaboration., • Design and develop data ingestion pipelines using Talend or Informatica, applying industry best practices for security and efficiency., • Develop and maintain efficient SQL queries and Python scripts to analyze large datasets and automate end-to-end data workflows on scheduled intervals., • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field., • Proven experience (3+ years preferred) as a Data Engineer or similar role in Financial Services or a similarly regulated, data-intensive industry., • Strong expertise with Snowflake architecture, features, and best practices in cloud data warehousing and processing., • Hands-on experience migrating data workflows from traditional relational databases to Snowflake or other cloud-native platforms., • Proficiency in building and optimizing ETL/ELT pipelines using tools such as Talend and/or Informatica., • Solid SQL and Python programming skills for data ingestion, transformation, and automation workflows., • Familiarity with data governance principles and integration of governance/data science tools within data ecosystems., • Experience designing REST API integrations, specifically Snowflake REST API, to enable data distribution layers., • Knowledge of data modeling, relational and dimensional data design concepts, and data warehousing methodologies., • Ability to work onsite in Manhattan, NY, and collaborate effectively in a fast-paced, cross-functional team environment., • Experience with PowerBI or similar data analytics platforms, • Experience with financial datasets, compliance standards, and security protocols., • Familiarity with containerization (Docker/Kubernetes) and orchestration tools for data pipelines., • Knowledge of cloud platforms beyond Snowflake, such as AWS, Azure, or GCP. Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job Description Apply now: Lead Analytics and AI Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: Lead Analytics and AI Engineer Location-Type: Remote (EST hours; optional access to NYC office) Start Date Is: ASAP Duration: Permanent Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: * Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions * Design and build scalable data pipelines, ETL/ELT workflows, and data platform components * Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions * Build and optimize solutions in Databricks for analytics, reporting, and AI use cases * Create documentation and technical requirements for offshore development teams * Guide offshore execution and ensure solutions are delivered accurately and efficiently * Improve data quality, performance, monitoring, and reliability across pipelines and platforms * Support analytics, business intelligence, reporting, and AI initiatives with scalable data architecture Requirements: Must-Haves: * 6–10 years of experience in data engineering, analytics engineering, or related roles * Strong hands-on Python and SQL skills * Experience building and maintaining ETL/ELT pipelines and data workflows * Strong background in data engineering, data pipelines, and data warehousing * Databricks experience * Experience designing and delivering data and AI solutions * Ability to translate business needs into technical solutions * Strong communication skills and comfort in a client-facing environment * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Nice-to-Haves: * AWS experience * Experience with AI/ML tools or AI solution development * Experience with workflow orchestration tools such as Airflow * Experience with API-based ingestion and modern cloud data platforms * Experience supporting near real-time analytics or reporting environments

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake., • Own and guide the development of our data infrastructure., • Orchestrate complex data workflows using Dagster., • Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work., • Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods., • Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience, • 7+ years experience in engineering, with at least 5 years of experience in a data engineering role, • Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries, • High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations, • Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus, • Experience with data exploration, profiling, governance, visualization, and activation, • Proven ability to thrive in an ambiguous and rapidly changing environment, • Experience working with sensitive data in a regulated environment, • Expertise in healthcare and/or revenue cycle management is a plus, • You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description Versant Media’s Data Platforms team is the central data store across the enterprise. We unify disparate systems into a secure, well-governed, real-time data environment that powers downstream products, analytics, and content delivery experiences. We are seeking a Director, Platform Development to lead the design, buildout, and evolution of our modern data platform. This is a hands-on leadership role for someone who is equally comfortable writing production code, setting architectural direction, and managing a small but growing team. In the near term, this role will be a key individual contributor responsible for building foundational platform capabilities. Over time, the focus will shift toward people leadership, planning, and execution management as the team scales. This role reports to the VP of Data Platforms and is expected to act as a technical and operational anchor for the organization. Responsibilities • Lead the design and implementation of core backend services and data platform components using Node.js and TypeScript, • Establish and evolve platform architecture, design patterns, and engineering standards, • Own and triage intake requests, balancing short-term delivery with long-term platform health, • Partner closely with governance, analytics, and downstream consumers to ensure the platform supports:, • Scalable data ingestion and access patterns, • Lakehouse-style architectures, • ELT pipelines, • Metadata, lineage, and governance requirements, • Build and maintain CI/CD pipelines that enable safe, repeatable, and observable deployments, • Set expectations and best practices around:, • Object-oriented design and proven design patterns, • Test-driven development (TDD) and strong automated test coverage, • Secure development lifecycle (SDL) principles, • Hire, mentor, and manage engineers as the team grows, • Conduct code and design reviews, providing clear technical guidance, • Collaborate effectively in a matrixed enterprise environment with both legacy systems and modern platforms, • Gradually transition from primary IC to people and execution leadership as the platform maturesQualifications, • Deep foundation in software engineering fundamentals, including:, • Object-oriented programming, • Design patterns, • API and service design, • Solid understanding of data engineering concepts, including:, • Lakehouse architectures, • ELT pipelines, • Data governance, metadata, and lineage, • Experience building modular or microservice-based systems, • Demonstrated experience leading or mentoring engineers (formal people management experience preferred, but not required), • Strong commitment to code quality, testing, and automation, • Hands-on experience with CI/CD pipelines and modern DevOps practices, • Comfortable operating with a high degree of ownership in a lean, fast-moving environment, • Experience with ML platforms or services (e.g., Databricks, AWS Bedrock), • Familiarity with analytics and BI tools (Tableau, Power BI, or similar), • Experience working in media, streaming, or large-scale enterprise environments We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Engineering Expert Type: Contract Compensation: $90–$125/hour Location: Remote Role Responsibilities • Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth., • Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior., • Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases., • Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets., • Work independently in long focus sessions to create challenging scenarios for agent evaluation. Must-Have • BS or MS in CS or related field., • 3+ years in data engineering or analytics engineering., • Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing., • Comfortable with data engineering artifacts: dbt models, DAGs, schema docs, data contracts, and test suites., • Hourly contractor, • Upload resume, • AI interview based on your resume

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. About the Role: We are seeking an Analytics Engineer to own and execute the vision for our data transformation layer. You will be at the heart of our data platform, which processes hundreds of millions of events daily from a wide array of sources, including transactional databases, API logs, CRMs, payment systems, and marketing platforms. You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion) and Data Scientists and Business Users (who consume your data models). Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data infrastructure to build robust, scalable data models. These models are critical for stakeholders across the company—from finance and operations to the executive team—and are delivered via BI tools, reports, and reverse ETL systems. What You'll Do: • Own the Transformation Layer: Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics., • Set Technical Standards: Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability., • Enable Stakeholders: Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products., • Integrate and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business., • 4+ years of experience in analytics engineering or data engineering with a strong focus on the "T" (transformation) in ELT., • Proven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models., • Comfortable working with ambiguity and collaborating with stakeholders to define requirements; able to take ownership with minimal oversight in a fast-paced environment., • Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency., • Technical Versatility:, • Expert-level SQL and DBT skills for complex queries and data transformations., • Proficiency in Python for transformations that extend beyond SQL., • Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg)., • Proficiency with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer)., • Experience owning CI/CD workflows and establishing team-wide standards for version control and code review (e.g., Git)., • Experience with data ingestion tools (e.g., Airbyte) and orchestration tools (e.g., Airflow)., • Domain experience for brokerage operations or a passion for financial markets and modelling financial datasets.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: The Machine Learning Engineering team designs, builds, and integrates the core platform that unlocks cutting-edge capabilities for financial advisors, including features driven by generative AI. Our engineers are relentlessly evolving this platform, empowering groundbreaking applications and features that truly help financial professionals better connect with their clients and grow their businesses. About the Job: We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing team. In this role, you will be instrumental in crafting and scaling foundational backend systems across predictive systems and generative AI. You will work across the entire software development lifecycle, from architectural design to deployment and ongoing operations, contributing significantly to our core infrastructure and data strategies, and working hand-in-hand with cross-functional partners like LLM Engineers, Product Owners, and Data Scientists to bring our vision to life. Responsibilities: • Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI, • Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams, • Work with OLTP databases, including schema design, migration strategies, and performance optimization, • Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure, • Ensure secure ingress and egress of data within our private network environments, • Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time, • Manage and optimize AWS services, including IAM roles and policies, • Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure, • Operate and maintain production applications at scale, ensuring high availability, performance, and reliability, • Design and implement data collection pipelines specifically for Large Language Models (LLMs), • Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training, • Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges, • Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities, • Proven experience as a ML Engineer with a strong focus on Python development, • Experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services, • Strong expertise with OLTP/relational databases such as Aurora, Postgres, MySQL etc, • Experience with DevOps toolsets such as Terraform, Open-Telemetry, etc. will be a big plus, • Strong experience in developing and maintaining large-scale, production-grade applications, • Experience in writing clean, maintainable, and testable code following best practices and industry standards, • Experience building integrations with internal and external service providers, • At least 5 years of relevant working experience., • Excellent communication skills, both written and verbal, • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, etc., • Experience with LLMs, RAG, embedding vector databases, or agentic technologies., • Familiarity with productionizing apps built with prototyping frameworks such as Streamlit or Gradio, • Knowledge of data governance and structured data principles, • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents $137,000 - $180,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) You will collaborate closely with Enterprise Technology, Information Technology, Security, Engineering, Data, People, and Finance teams to understand business requirements, translate them into technical specifications, and deliver integrations that enhance productivity, reduce manual work, and improve system accuracy. This role is ideal for someone who enjoys solving complex systems challenges, designing clean integration architectures, and building automation that scales As Staff Integrations Engineer (Enterprise Technology) at Maven, you will: • Design, build, and maintain and own integrations between enterprise SaaS systems, internal tools, identity platforms, and data services., • Cross functionally work with technical and non-technical partners driving projects, gathering requirements, system mapping creating, data validation, gathering buy-in and approval, stakeholder management., • Develop and own workflows, automation, and orchestration logic to streamline processes such as user lifecycle management, access provisioning, data synchronization, and operational workflows., • Evaluate integration approaches (API-based, event-driven, middleware, automation platforms, ETL/ELT) and select the right solution based on requirements for reliability, performance, and security., • Collaborate with IT, Product, and Engineering teams to define technical requirements, validate solution designs, and support high-quality delivery., • Troubleshoot integration failures, performance bottlenecks, and data inconsistencies, driving root-cause analysis and long-term fixes., • Create and maintain detailed documentation, including sequence diagrams, data flow diagrams, integration runbooks, and error-handling frameworks., • Work closely with Security to ensure integrations follow best practices for authentication, authorization, data minimization, and auditability., • Implement automation frameworks to improve provisioning, configuration management, lifecycle management, and endpoint operations., • Maintain architectural documentation including system diagrams, data flow models, configuration standards, and API specifications., • Support incident response and troubleshooting efforts as a senior escalation point for complex technical issues across enterprise systems., • 6–10+ years of experience building integrations or automation in enterprise environments, preferably within high-growth SaaS or cloud-native organizations., • Deep experience with Workato or other integration/automation platforms like Snaplogic or Boomi., • Deep experience with Okta or other Identity and Access Management products like OneLogic, JumpCloud., • Experience in other integration platforms such as BetterCloud or Zapier is a plus., • Solid understanding of enterprise SaaS ecosystems such as Google Workspace, Jamf, Atlassian, Slack., • Experience working with HRIS/Finance/CRM tools such as ADP and Salesforce., • Strong proficiency with APIs, webhooks, authentication standards (OAuth, SAML, SCIM), and event-driven or message-based architectures., • Experience developing integrations using languages such as Python, TypeScript/JavaScript, or similar., • Strong debugging, testing, and observability skills in production integration environments., • Experience designing fault-tolerant and scalable automation workflows with clear error handling and monitoring., • Excellent communication skills with the ability to explain technical topics to both technical and non-technical audiences. This role requires active work authorization in the US. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. This role is exclusively open to candidates in these locations. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Reporting to the Head of Engineering, New Venture, and partnering closely with engineering, product, and clinical teams, the Senior Data & Insights Engineer will own the end-to-end data layer, from pipelines and data models to analytics and dashboards, ensuring data is reliable, accessible, and drives decision-making across the business. This is not a narrow pipeline-focused role, but a high-impact, high-autonomy position where you will be the go-to partner for answering critical business and product questions, ensuring data integrity, and continuously improving how data flows across systems. You will work across backend systems (Postgres), our data warehouse (Snowflake), and analytics tools (e.g., Mixpanel) to unify fragmented data into a reliable and actionable source of truth. In this early-stage environment, you will have the opportunity to define both the data architecture and how data is used day-to-day, with full ownership of the data layer and direct impact on product, clinical, and business decisions. Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. What you'll be doing: • Build and maintain data pipelines that move data from application databases (e.g., Postgres) into Snowflake., • Design, extend, and optimize data models across backend systems and the data warehouse., • Ensure data reliability, integrity, and timeliness across all systems and reporting layers., • Translate ambiguous business and product questions into clear analyses, dashboards, and SQL queries., • Develop dashboards and self-serve analytics tools for product, clinical, and operations teams., • Identify and resolve data discrepancies across systems (e.g., backend, warehouse, analytics tools)., • Integrate and reconcile multiple data sources into a consistent and trusted source of truth., • Partner cross-functionally to define metrics, improve data accessibility, and drive data-informed decisions., • Evaluate and implement tools for data orchestration, transformation, and scaling the data platform., • The team trusts data and uses it daily for decision-making, • Key metrics are clearly defined, consistent, and easy to access, • Data discrepancies are proactively identified and resolved, • New data questions can be answered quickly without reinventing pipelines, • 5+ years of experience in data engineering, analytics engineering, or similar roles, • Strong SQL skills (Snowflake or similar data warehouse experience required), • Experience working with backend systems (Python, Postgres or similar), • Proven ability to build and maintain data pipelines (ELT/ETL), • Experience working with product analytics tools (e.g., Mixpanel, Amplitude), • Strong intuition for data quality and debugging inconsistencies across systems, • Ability to turn ambiguous questions into structured analysis and insights, • Experience with tools like dbt, Airflow, Dagster, or similar, • Experience designing event tracking systems, • Exposure to healthcare or regulated data environments, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job Description Infrastructure Engineer (AWS / Terraform / ECS / Data Platforms) Location: New York, NY (Onsite 3–5 days/week) Compensation: $180,000 - $235,000 + equity About Our Client Our client is building AI-native infrastructure to automate the administrative backbone of healthcare—starting with home health. Their platform helps agencies reduce overhead, accelerate payments, and spend more time on care (not paperwork). The product integrates directly into provider operations and automates complex workflows like insurance verification, prior authorization, and billing using agentic AI. Backed by top-tier investors, the team blends deep expertise across healthcare operations, applied AI, and workflow automation. The Role Our client is hiring their first Infrastructure Engineer to build and scale the foundational systems powering their AI automation platform. You will own critical infrastructure supporting production workloads across intake, clinical documentation, and revenue cycle management—ensuring reliability, security, performance, and compliance as the company scales from one client to dozens. This is a systems-oriented role with broad scope. You'll work across container orchestration, data systems, deployment automation, and observability. Over time, you'll help set the technical vision for the infrastructure layer and define operational best practices that allow engineering to ship faster and more reliably. What You'll Do • Design, build, and maintain scalable cloud infrastructure on AWS, including ECS, Postgres, Redshift, and supporting data pipelines for production workloads, • Own CI/CD pipelines and deployment automation to enable fast, safe releases (testing, rollbacks, zero-downtime deployments), • Implement and manage infrastructure-as-code using Terraform, ensuring consistency and version control across environments, • Build robust observability (metrics/logs/traces/alerting) using tools like Datadog, including cost and performance monitoring, • Scale and optimize Postgres/Redshift to handle growing data volumes while maintaining performance and data integrity, • Drive security and compliance at the infrastructure layer: IAM policies, network controls, audit logging, and HIPAA-compliant data handling Required Qualifications • 4+ years of infrastructure, platform, or SRE-adjacent engineering experience building and scaling production systems, • Strong hands-on experience with AWS and Terraform (or comparable IaC), • Experience with AWS primitives including ECS, RDS/Postgres, Redshift, IAM, VPC, and related services, • Strong experience building and maintaining CI/CD pipelines, automated testing, and deployment automation, • Hands-on experience with observability tools (especially Datadog) including monitoring strategy and alerting discipline, • Familiarity with Redshift or modern warehousing patterns for analytics/reporting workloads, • Experience in healthcare or other regulated industries requiring strict security, privacy, and compliance, • Familiarity with data pipeline orchestration tools and ETL/ELT patterns, • First infrastructure hire with real ownership and architectural influence, • High-impact mission: reduce administrative burden so providers can focus on patient care, • Work at the intersection of cloud infrastructure + data systems + AI-driven workflow automation, • Build compliant, resilient infrastructure that scales with real healthcare operators

Job Description About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. RdEDRGP9Ti

Job Description Excel Sports Management is an industry-leading sports agency representing top-tier talent, blue-chip brands and marquee properties. Our success is rooted in our people, our high character reputation and our commitment to creating a diverse and welcoming workplace. We focus on team chemistry, collaboration, strong relationships, valuable networks, and ambitious ideas to deliver innovative solutions that keep our clients and agency ahead of the curve. Excel Sports Management is an Equal Opportunity Employer (EOE). Position Overview: The Director of Information Technology (IT) drives the technology strategy and operational capabilities for the company. This leader partners closely with the Executive Leadership Team (ELT) to ensure that our technology resources are aligned with business objectives, and will be the primary liaison for managing our critical relationships with Managed Service Provider (MSP). This is a hands-on leadership role for someone who can balance strategy, vendor management, and execution, requiring a unique blend of technical expertise, business acumen, and financial discipline. This role is based in our NY office. Role and Responsibilities • Develop, execute, and own a comprehensive IT strategy and roadmap in partnership with the ELT, providing technology leadership and driving digital transformation initiatives that support business growth., • Develop and manage the annual IT budget (OpEx/CapEx) in collaboration with the CFO, ensuring cost-effective procurement, transparent reporting, and maximum ROI on technology investments., • Oversee all IT operations and infrastructure, ensuring the stability, security, and high availability of networks, servers, cloud environments, and end-user computing., • Manage the lifecycle of core business applications, including selection, implementation, integration, and support, to ensure they meet evolving business needs., • Identify and deploy AI and automation solutions to enhance productivity and decision-making., • Act as the primary liaison for Managed Service Providers (MSPs) and key technology vendors, defining service levels and managing performance, contracts, and negotiations to maximize value and mitigate risk., • Lead the enterprise-wide cybersecurity program alongside the Managed Security Service Providers (MSSPs), including threat management, incident response, security awareness training, and the development of policies to protect company data and assets., • Ensure IT compliance with all legal and regulatory requirements, establish IT governance policies, and manage risk through regular audits and assessments., • Build and lead the in-house IT function, fostering a high-performance, customer-centric culture and effectively communicating technical concepts to all business stakeholders. Professional Qualifications • A minimum of 10-12 years of progressive experience in IT, with at least 3 years in a senior leadership capacity (e.g., IT Manager, Senior IT Manager, Director)., • Demonstrated ability to create and execute a clear strategic vision that supports business objectives, and flex readily when business circumstances change., • Strong leadership skills, with the ability to build relationships and influence all levels within an organization, most importantly at the senior executive level., • Sharp business acumen and extremely comfortable building budgets, managing and negotiating contracts, and fostering cross-functional partnerships., • Experience building collaborative, trusting relationships, and being comfortable working with colleagues across a range of locations and levels of technology expertise., • Proven track record of success within a VC or private equity-backed environment is preferred., • Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field is required. Master's degree is a plus., • Relevant professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), or ITIL Foundation are highly desirable. The pay range for this position is: $185,000-$215,000 per year. This position is also eligible for benefits and discretionary bonus. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria. This position is not eligible for sponsorship. Excel Sports Management provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, leaves of absence, compensation and training.

Job Description The Academy of Rome is seeking a COO to join their team. This new hire serves as the principal executive responsible for day-to-day financial management and operations of the institution, ensuring efficient, compliant, and mission-aligned execution of all support functions. The COO is a trusted strategic leader reporting directly to the President & CEO and partners with the Executive Leadership Team. The COO manages strategic execution across financial, operational, and administrative domains and oversees eight direct reports spanning seven departments. This position requires bilingual and cross-cultural fluency, exceptional management skills, and expertise in financial operations and administration. Our client is a residential institute for advanced work in the arts and humanities. Beyond its core academic mission, the Academy also operates as a hotel accommodating approximately 100 people each night, a restaurant serving about 80 people twice daily during the week, a historic property on 11 acres subject to oversight by two landmarks commissions, and one of Rome’s premier venues for events and rentals. The COO will ensure that this multifaceted institution functions as an efficient and strategically managed organization. Success in the role will be defined by improved organizational performance, operational strength and effectiveness, and effective strategic execution. The COO will oversee the daily operations of the Academy, lead and implement institutional change, bring deep business and financial expertise to the senior management team, and serve as both a complement to the President and CEO and a close partner in advancing the Academy’s mission and long-term sustainability. The COO is responsible for the operational and financial management of the Academy, not its intellectual or academic direction. That responsibility remains with the Rome Director. By placing operations in the COO’s portfolio, the Academy frees the Director to focus more fully on shaping the intellectual life of the institution. Key Responsibilities 1. Executive and Organizational Leadership Serve as a key member of the Executive Leadership Team (ELT), which meets regularly to align on strategy, advise the President and CEO, coordinate cross-departmental priorities, and strengthen the Academy’s overall effectiveness. Manage alignment and execution of AAR’s operational systems with its mission, programs, and long-term strategic goals. Lead and establish policy and protocols for high-quality and efficient operations within a culture of collaboration, accountability, and continuous improvement across the organization. Represent the Academy internally at Board meetings, meals with Fellows and visitors, and externally with stakeholders, partners, and counterparts in both Italy and the U.S. 2. Financial Management Serve as the chief financial steward of the Academy, acting as a strategic partner to the President and ELT to ensure the Academy’s short- and long-term financial health, sustainability, and capacity for strategic growth. Manage the Finance function, overseeing budgeting, forecasting, multi-year financial planning, reporting, cash flow management, and audit processes. Oversee the endowment through regular communication with the institution’s outside investment advisors. Ensure compliance with all applicable U.S. and Italian laws and regulations, including maintenance of tax-exempt status in both countries. Bring international experience with U.S. GAAP and other accounting standards, ensuring compliant, transparent financial management across currencies, transactions, and jurisdictions. Advise and liaise with key Board committees—Audit, Compensation, Executive, Finance, Investment, and Plant, Planning & Preservation—providing clear, timely financial analysis, risk assessments, and strategic recommendations. Manage relationships with external auditors, investment advisors, and other financial partners to safeguard assets and optimize returns in line with mission and risk tolerance. 3. General Operations & Compliance Manage daily operations and strategy of Finance, Facilities, Residential Life, Sustainable Food Program, HR, and IT. Ensure compliance with Italian and U.S. laws and regulations governing non-profit organizations. Maintain and update institutional policies, including risk management, insurance, contracting, and legal compliance across both countries. Oversee the Academy’s contractual relationship with Janus S.r.l., the entity leasing Villa Aurelia, to ensure well-managed operations and fiscal accountability. Partner in guiding and executing on institutional planning, including strategic planning, KPIs, and performance tracking. Develop and maintain internal controls to safeguard assets and institutional integrity. 4. Facilities, Residential Life & Campus Management Oversee the high-quality operation and preservation of AAR’s historic campus, including residential facilities, gardens, kitchen/dining services, and common areas. Lead the Residential Life team to ensure the highest standards in housing, dining, and hospitality for Fellows, Residents, Visiting Artists/Scholars, Trustees, and Guests. This includes managing room quality and upkeep, occupancy logistics, dining services, and the operational details that underpin a seamless residential experience, distinct from the programmatic and intellectual dimensions led by the Programs team. Ensure security, health, and safety protocols are observed across campus. Supervise capital improvements, renovations, and routine maintenance within the priorities of strategic planning. In collaboration with the Director, oversee the Sustainable Food Program. Where the Director has primary responsibility for the intersection of food and programming, the COO has primary responsibility for staffing, costs, and materials. 5. Human Resources & Staff Development Lead strategic workforce planning, employee relations, performance management, and staff development across departments. Recruit, develop, and retain high-performing staff across operational and administrative functions; exercise authority in hiring and separation decisions in alignment with institutional policies and culture. Ensure equitable and transparent HR policies, compliant with U.S. and Italian labor law and relevant international best practices. Cultivate an organizational culture that reflects AAR’s values of intellectual courage, excellence without elitism, civic responsibility, Roman roots, collaboration and exchange, and stewardship of the future. Manage payroll, contracts, benefits administration, and legal compliance in collaboration with external service providers. 6. Technology & Systems Manage strategic development of IT infrastructure, including systems support for administration, programs, risk management, and communications. Ensure data security and continuity of operations across platforms (finance, HR, digital archives, library systems). Align digital tools with staff and fellow/resident needs; support innovation in remote and hybrid program delivery. 7. External Engagement & Institutional Stewardship Act as liaison with legal counsel, government offices in both the U.S. and Italy, vendors, and other institutions as needed. Represent AAR’s interests in operational matters with authorities, contractors, and external stakeholders in both geographies. Support special projects and strategic initiatives as delegated by the President. Preferred Qualifications 10+ years of senior operational and finance leadership experience in nonprofit and/or for-profit organizations, ideally with cross-border responsibilities. Strong background in financial management, strategic planning, compliance, and risk management in a multinational context. Fluency in English required; proficiency in Italian strongly preferred. Experience leading and managing cross-functional teams and working across cultures. Demonstrated ability to manage complex budgets, capital projects, and internal systems. Excellent communication and interpersonal skills; tactful, discerning, strategic, consensus-builder, and collaborative.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Founding Senior Backend Engineer (Data Platform / Integrations) Location: New York City — In-Person The Opportunity Our client is hiring a Founding Senior Backend Engineer to own the data platform end-to-end and build the team around it. This is a true founding role: you will define canonical data models, ship the event backbone, enable analytics/experimentation, and create the integration architecture that makes adding EMR #5 configuration—not months of bespoke engineering. If you're energized by unglamorous but high-leverage infrastructure (data modeling, pipelines, events, integrations), this is a rare seat. What You'll Own 1. Outcome Data Layer (Instrumentation + Measurement) Build the instrumentation layer that ties every agent decision to customer-level business metrics—e.g., client retention, caregiver satisfaction, authorization utilization, hours erosion. This becomes the foundation for experimentation, ROI claims, ML improvements, and product strategy. 2. Real-Time Event Backbone Design an event-driven architecture where visit status changes, clock-ins, call-outs, ranking decisions, and workflow outcomes flow in real time—so internal systems (and future products) can consume events without constant EMR polling or rate-limit band-aids. 3. Integration Platform + Canonical Models Create canonical data models across WellSky, HHAeXchange, AlayaCare, and Axxess so adding the next EMR is configuration-driven. This also unlocks revenue-cycle automation by enabling unified authorization and billing models. 4. Analytics & Experimentation Tooling Build the warehouse + tooling so engineers can answer: “Did this change improve customer outcomes?” quickly and consistently—without writing one-off queries every time. What Our Client Is Looking For You're likely a fit if you are: • Systems-minded and data-opinionated: you treat data modeling as a craft and can explain why entities should relate a certain way, • Comfortable with messy reality: you're excited by pipelines, joins, ETL/ELT, and cleaning inconsistent third-party data, • Event-driven by default: you've built (or deeply understand) real-time architectures, streaming/event backbones, and durable systems, • Integration-savvy: you've shipped platforms that unify multiple external systems into clean internal abstractions, • Experience with healthcare workflows, EMRs/EHRs, home health, or revenue-cycle concepts (authorization, billing, reimbursement), • Familiarity with healthcare data modeling standards (e.g., FHIR-style entity thinking), • Experience building experimentation frameworks or measurement systems tied to business outcomes Q2: Ship the outcome data layer + real-time event backbone. Make experimentation and measurable ROI a default. Q3: Deliver the integration abstraction + canonical models. EMR #5 becomes configuration. RCM roadmap becomes real. Year-end: You've built and are leading a 3–5 person data platform team (integration, data engineering, analytics). You're operating as the Head of Data Platform. Why This Role • Founding-level ownership on a platform that directly drives revenue outcomes, • Complex, high-impact systems work: data, events, integrations, measurement, experimentation, • Clear path to technical leadership and building a team, • Real customers, real workflows, and real-world leverage—your architecture decisions compound fast

Job DescriptionSalary: At Derevo, we empower companies and people by unlocking the value of our clients data and enhancing the talent of those who transform it. With more than 15 years of experience, we design end-to-end Data & AI solutions: from integration into modern architectures to the implementation of intelligent models in key business processes. We are looking for aGCP Data Architect with more than 10 years of experience transforming complex data ecosystems into strategic business assets. Expert in designing and deploying enterprise-scale Data Warehousing solutions using the Google Cloud Platform (GCP) stack. The key differentiator for this role is the ability to act as a bridge between technology and business, translating KPIs and objectives from business leaders into robust, scalable, and results-oriented architectures. Core Technical Stack Expert / Strong command • Business-to-Tech Translation: Proven experience collaborating directly with C-Level executives and Business Directors to define requirements, manage expectations, and present technology roadmaps. Ability to lead technical discussions and negotiations., • Data Integration & Orchestration: Cloud Dataflow (Apache Beam for ETL/ELT + dbt) and Cloud Composer (Apache Airflow)., • Architecture Design: Design of data pipelines in both streaming and batch, ensuring high availability and minimal latency., • Data Warehousing: Google BigQuery (cost optimization, partitioning, clustering, and data modeling)., • Governance & DevOps: Data Catalog, IAM, CI/CD for data pipelines. Key Professional Competencies: Nice to have • Business Intelligence: Understanding of BI concepts and processes, with exposure to tools such as Tableau or Qlik., • Bilingual Communication: Full fluency in English required, Spanish is a plus. Your benefits with Derevo WELLNESS: We promote personal, professional, and financial well-being. LETS RELEASE YOUR POWER: Opportunities to specialize and grow across different technologies and domains. WE CREATE NEW THINGS Freedom and support to design innovative data solutions. WE GROW TOGETHER Participation in cutting-edge, multinational technology projects with diverse teams. Where will you do it? Hybrid model, working 2 to 3 days per week from our offices in New Jersey (07302). If you meet most of the requirements and are interested in the challenge, apply! Our Talent Acquisition team will contact you. Become a Derevian and develop your superpower

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description About Us: Versana is an industry-backed data and technology company on a mission to transform the syndicated loan market. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You: Versana is looking for a motivated mid-level Data Platform Engineer to join our team. This role is primarily focused on data engineering, with a secondary responsibility in reporting and dashboard delivery. Your mission is to transform operational (OLTP) data from multiple source systems into clean, analysis-ready (OLAP) datasets using our lakehouse medallion architecture. You will work closely with seasoned technology leaders, and colleagues with diverse experience in a dynamic, agile environment. You’ll mentor team members through code reviews, pairing, documentation, and knowledge-sharing practices. You’ll both share your engineering expertise with colleagues and learn from their deep domain knowledge. You’ll help standardize data transformations and testing, and drive CI/CD practices, all while improving performance, reliability, and observability. Key Responsibilities:Data Engineering (Primary): • Design, implement, and operate ELT pipelines to ingest data into the lakehouse., • Apply Medallion architecture and semantic layering to deliver curated datasets., • Build and maintain durable data lakes sourced from operational systems, including sustainable ingestion, schema evolution, storage formats, partitioning, and performance., • Secure data at rest and in transit by enforcing governance policies, including regular access reviews and auditability., • Establish and enforce standards for data quality, observability/alerting, and lineage; uphold daily/hourly SLAs for critical reports and datasets., • Drive CI/CD for data code reviews, documentation, and environment promotion; mentor and unblock teammates. Reporting & Analytics (Secondary): • Create and maintain tabular models and dataflows; optimize dataset refreshes, query performance, and usability., • Partner with Product to translate requirements into robust models, metrics, and dashboards; collaborate with Application Developers on data contracts and change management for upstream systems.• Support operational monitoring and alerting; ensure timely, trusted reporting for leadership and clients., • Triage and fulfill ad-hoc data requests while improving self-service patterns and documentation.Must Haves:• B.S. or B.A in Computer Science or related field., • 5–7 years in data engineering or analytics engineering., • Strong SQL and practical experience with dbt for transformations and testing., • Hands-on experience with data modeling and performance optimization., • Professional coding experience with both Java and Python., • Experience operating data ware/lake-houses and building semantic layers., • Familiarity with CI/CD (DataOps), version control, and environment promotion., • Data quality, observability, and alerting experience with a focus on SLAs and stakeholder trust., • Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls)., • Demonstrated ability to mentor or coach in software engineering practices., • Effective communication and requirement gatheringNice to Haves:• Cost/performance tuning across data ware/lake-housing, query engines, BI tools; caching strategies and aggregation design., • Data documentation, lineage, and cataloging practices; strong habits around reproducibility and testing., • Apply report design and visualization best practices (effective layouts, clear metric definitions, consistent interactions, and performant SQL+DAX queries) to deliver executive\u0002ready dashboards.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a MDM Lead who will be responsible for designing, implementing, and governing enterprise Master Data Management solutions supporting Commercial operations in Life Sciences industry. This role requires deep hands-on expertise in MDM platforms (primarily Informatica), strong understanding of Pharma Commercial data domains, and the ability to translate business strategy into scalable data architecture and operating models.. RESPONSIBILITIES: • MDM Strategy & Architecture, • Lead the design and implementation of MDM solutions for Commercial domains such as HCP, HCO, Affiliation, Product, Territory, and Customer hierarchies, • Define golden record strategy, survivorship rules, match/merge logic, and data stewardship workflows, • Establish MDM reference architecture aligned to enterprise data strategy and regulatory requirements, • Informatica MDM & ETL Delivery, • Configure and manage Informatica MDM (Multidomain or Customer 360) including: Data models, match rules, trust frameworks, and hierarchies, • Design and develop ETL/ELT pipelines using Informatica PowerCenter / IICS (or equivalent) to ingest data from multiple internal and external sources (e.g., IQVIA, OneKey, CRM, ERP), • Ensure performance, scalability, and data quality across large-scale datasets, • Data Quality & Governance, • Define and enforce data quality rules, KPIs, and exception handling, • Partner with business and data governance teams to operationalize data stewardship models, • Commercial Pharma Domain Leadership, • Act as a subject matter expert for Commercial master data:, • HCP/HCO identity resolution, • Affiliations and hierarchies, • Specialty, address, and territory alignment concepts, • Collaborate with Sales Ops, Marketing Ops, Market Access, and Analytics teams to translate business requirements into scalable MDM solutions, • Leadership & Stakeholder Management, • Lead onshore/offshore delivery teams and review technical designs and code, • Engage senior stakeholders to align data standards, priorities, and roadmap, • 8-10+ years of hands-on experience in MDM implementations within Life Sciences / Pharma, • Strong expertise in Informatica MDM (Customer 360 / Multidomain), • Strong experience designing and building ETL pipelines using Informatica or equivalent tools Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Engineering Manager, Data you will lead and represent a team of Data and Analytics Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power company-wide reporting, product analytics, and all post-source data operations, ensuring these are reliable, observable, accurate, fresh, scalable, and extensible. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our ML, Analytics, BizOps, and Engineering teams and define a vision for data model best practices in our warehouse and ETL pipeline architecture, while supporting new business initiatives. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Drive the development of data pipelines and analytical products in the warehouse, ensuring reliable, performant systems and timely delivery of business-critical insights., • Work closely with business partners across Data Science, Machine Learning, Engineering, Product, and BizOps to align data initiatives with company needs and unlock new opportunities., • Define a vision for a scalable data model architecture in the warehouse, and create a roadmap for the team to iterate into that end-state., • Lead execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities, including leading sprint ceremonies and roadmapping., • Oversee data integrity, documentation, testing, and monitoring across systems to ensure stakeholders can trust and self-serve on our data., • Guide and contribute to architecture and design decisions, resolve critical technical issues, and ensure scalable development across our data stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau)., • Identify bottlenecks and implement improvements to team workflows, tools, and development practices., • Manage and mentor a growing team of data engineers; foster a culture of technical excellence, accountability, and continuous improvement., • Establish metrics to track progress, communicate priorities, and demonstrate business impact., • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use., • Drive reliability, scalability, observability, security, and cost-efficiency improvements across our data stack., • Own company-wide KPI reporting, including ad hoc analysis, product analytics, and dashboard development, ensuring the team delivers clear, accurate insights in response to evolving business questions.Requirements, • 2+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, and 6+ years of data or analytics engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Hands-on background in building and maintaining ELT pipelines using SQL, DBT, and OLAP databases like Snowflake, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work., • Experience with workflow orchestration tools like Dagster, Airflow, Prefect., • Skilled in developing scalable reporting solutions using tools like Tableau or Hex, and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Experience being an effective cross-functional partner with Machine Learning, Product, Analytics, and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • Familiarity with healthcare data standards (e.g. HIPAA, FHIR) is highly desirable, • Experience with AWS cloud technologies is preferredBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $200,000 and $265,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionCompany Description OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Job Description Equinox is seeking a Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a full-time role located in our NYC office. RESPONSIBILITIES • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems, • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models, • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure, • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics, • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions, • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets, • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt), • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process, • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automationQualifications, • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus), • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows, • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets, • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis, • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling), • Familiarity with dbt Labs and modern ELT/analytics engineering practices, • Experience working with structured, semi-structured, and unstructured data, • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust, • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture. What you'll do • Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas, • Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code, • Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices, • Manage and optimize DAGs, including troubleshooting task failures and improving run times, • Implement metadata management, data lineage, and security principles such as least-privilege access, • Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow, • Partner with engineering, data science, and business stakeholders to own project scopes, • Mentor others on data best practices to drive impact through your data vision, • Provide architectural guidance to ensure data is accessible and actionable across the company, • Drive technical excellence within the data engineering and analytics domainWhat we're looking for, • 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake, • 3+ years of experience with dbt, • Owned large-scale data projects that drove significant impact through effective cross-functional partnering, • Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights, • Expert at SQL, window functions, and query optimization for complex data manipulations, • Applied performance best practices, including partitions, sort keys, and incremental modeling, • Designed systems using test-driven approaches to ensure data quality and flow integrity, • Familiarity with ELT processes and tools to prepare and clean data for analysis, • Skill in using tools like dbt to build data transformation pipelines, • Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practicesWhile not required, these are a plus: When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Overview We are seeking a Microsoft Fabric Data Engineer with Agentic AI experience to design, build, and maintain scalable data solutions within the Microsoft Fabric ecosystem. This role is responsible for developing robust data pipelines, implementing Medallion architecture (Bronze, Silver, Gold layers), and ensuring high-quality, analytics-ready datasets. The ideal candidate will have hands-on experience with Microsoft Fabric components (Data Factory, OneLake, Lakehouse, Warehouse, and Power BI), strong data engineering fundamentals, and the ability to support advanced analytics and AI initiatives. Key Responsibilities • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (Data Factory, Pipelines, Notebooks), • Implement and manage Medallion architecture (Bronze, Silver, Gold layers) to ensure data quality, governance, and usability, • Ingest, transform, and integrate data from multiple structured and unstructured sources, • Optimize data workflows for performance, scalability, and cost efficiency, • Build and maintain Lakehouse and Data Warehouse solutions within Fabric, • Ensure data reliability through monitoring, logging, and error-handling mechanisms, • Collaborate with stakeholders to translate business requirements into scalable data solutions, • Enforce data governance, security, and compliance best practices, • Document data models, pipelines, and system architecture, • Contribute to roadmap planning and platform evolution Database & Power BI Oversight • Design enterprise-grade data models optimized for Power BI and analytics workloads, • Oversee creation and management of semantic models and datasets within Fabric, • Oversee dataset performance, refresh strategies, and capacity management in Power BI, • Implement data modeling best practices (star schema, normalization where appropriate), • Support development of dashboards and reports by providing curated, high-quality datasets, • Manage access control, row-level security (RLS), and data lineage visibility, • Manage Power BI capacity, dataset refresh strategies, and scalability considerations, • Collaborate with BI developers to optimize DAX performance and reporting efficiency, • Monitor usage and adoption metrics to improve data accessibility and usability AI Readiness & Advanced Analytics • Prepare and structure data to support AI/ML use cases within Microsoft Fabric and Azure ecosystem, • Enable feature engineering by delivering clean, enriched, and well-governed datasets, • Support integration with AI tools such as Azure Machine Learning, Fabric Data Science, and Copilot experiences, • Implement data pipelines that support real-time or near real-time analytics where needed., • Ensure datasets are scalable and aligned with AI model training requirements., • Promote best practices for data versioning, reproducibility, and experimentation. Qualifications • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field., • 7+ years of experience in data engineering or related roles., • Hands-on experience with Microsoft Fabric or closely related tools (Azure Synapse, Azure Data Factory, Power BI)., • Strong expertise in Medallion architecture and modern data lake/lakehouse patterns., • Proven experience building and maintaining data pipelines (ETL/ELT)., • Proficiency in SQL, Python, and/or Spark., • Experience with Lakehouse architectures and distributed data processing., • Strong understanding of data modeling and data warehousing concepts. Desired Skills & Competencies • Experience with OneLake, Delta Lake, and Fabric-native workloads., • Experience with Data Agents, Copilot Studio and Microsoft Foundry, • Familiarity with CI/CD pipelines for data solutions., • Power BI adoption and user satisfaction across business units., • Delivery of AI-ready datasets and agentic AI pilot outcomes, • Security compliance and incident prevention Key Competencies • Strong problem-solving and analytical thinking, • Attention to detail and data quality focus, • Ability to work cross-functionally with technical and business teams, • Excellent communication and documentation skills, • Continuous learning mindset in evolving data and AI technologies Performance Metrics • Data integrity and availability across all departments, • System uptime and query performance, • Power BI adoption and user satisfaction across business units, • Reduction in time-to-action based on data insights, • Successful onboarding and reliability of third-party integrations, • Delivery of AI-ready datasets and agentic AI pilot outcomes, • Security compliance and incident prevention, • Adoption of best practices as informed by industry trends This role is essential for Garan Apparel's enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration—while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence. Salary: $150,000

Job Description Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is Hybrid role (3 days in office /2 days remote) About your Team: The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting-edge data technologies, AI knowledge bases, and cloud-native data platforms as we scale our data operations. Your work will focus on delivering robust, well-documented data solutions and establishing best practices for data engineering across the enterprise. What will be your responsibilities within IBKR: · Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases · Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads · Build and optimize real-time streaming data pipelines using Kafka for event-driven analytics and data processing · Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi-structured, and unstructured data (text, images, audio, video) · Develop Python-based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems · Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation · Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality · Write clean, maintainable, well-tested code following software engineering and data engineering best practices · Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities What required skill's you need: · 6+ years of hands-on data engineering experience with modern data stack technologies · Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda · Proficiency in Python for data processing, ETL, and application development · Experience with PySpark on EMR for large-scale data processing · Strong SQL skills for data analysis and transformation · Experience building and maintaining ETL/ELT pipelines at scale · Experience with Kafka for streaming data pipelines and real-time data processing · Knowledge of data lake architectures and modern table formats (e.g., Iceberg) · Experience with CI/CD practices using Git, version control systems, and containerization (Docker) · Understanding of data modeling, data warehousing concepts, and analytics best practices · Exceptional problem-solving and analytical skills · Excellent collaboration and communication (verbal and written) skills · Self-motivated with ability to work independently and manage multiple priorities · Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills.Company Benefits & Perks, • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups The anticipated base salary range for this role is $150,000 to $200,000 per year, based on skills, experience, and location. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and a stock award, as well as a wide range of benefits, including healthcare, tuition reimbursement, and more.

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Forward Deployed Engineer to work directly with our customers—bringing technical expertise, problem-solving skills, and a builder’s mindset to every engagement. You’ll own onboarding and implementation for new customers, integrate Stuut with their ERP and workflow systems, and deliver custom solutions that drive measurable results. This is a high-impact role for someone who can write production-quality code, communicate with both executives and engineers, and thrive in the field. You’ll act as the bridge between customer needs and Stuut’s platform, ensuring each deployment delivers real value while helping shape the future of our product. What You’ll Do * Lead Implementations: Manage onboarding from setup through integration and launch for new customers. * Integrate & Automate: Own integrations with platforms like Netsuite, SAP, Salesforce, and other ERPs; write scripts, build automations, and develop custom solutions as needed. * Collaborate Cross-Functionally: Work with Sales and Customer Success to deliver a seamless technical customer journey. * Drive Process Improvements: Identify and fix inefficiencies in our deployment workflows. * Influence the Product: Provide real-world feedback to the product team to help shape the roadmap. * Support Scale: Build technical documentation and internal tools to make customer deployment faster and easier. * Be in the Field: Travel to client sites to meet customers, deploy solutions, and build relationships. You Might Be a Fit If You… * Have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementations Engineer, FDE). * Are fluent in Python and skilled with modern integration technologies (APIs, ETL/ELT, enterprise auth). * Take ownership and have a bias toward building and improving. * Have experience working with sales teams in both pre- and post-sales contexts. * Have worked in startups or high-growth environments. * (Nice to Have) Experience with AI/ML-powered automation, fintech integrations, developer tools, cloud platforms, or containerization. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $150K - $240K

Job Description Create is hiring an Analytics Lead to help build and scale our analytics foundation from the ground up. This will be our first analytics hire, working closely with the Head of Data to design data models, build self-service analytical frameworks, and turn messy questions into clear, trusted insights. This role is ideal for a strong generalist who can do hands-on Analytics Engineering work and partner with the business on measurement, analysis, and decision-making. You’ll have a pivotal role in shaping how analytics works at Create, from dbt models to Omni dashboards to how teams ask and answer questions with data. What You'll Do: Analytics Engineering & Data Modeling • Design and build clean, DRY, & documented dimensional data models using dbt, • Implement best practices around testing, documentation, and model organization, • Build analytics tables, metrics, and dashboards in Omni that enable self-service, • Apply strong data product thinking: design datasets and dashboards that are intuitive, reliable, and reusable, • Partner with stakeholders to define metrics, measurement approaches, and success criteria, • Perform deep-dive analyses to uncover insights and inform decisions, • Translate ambiguous business questions into structured analytical approaches, • Own stakeholder relationships, acting as a trusted analytics partner, • Proactively identify gaps, opportunities, and improvements in our analytics stack, • Teach and enable teammates to better use data, dashboards, and metrics, • 3-6+ years working in analytics, analytics engineering, data engineering, or data science, • Strong experience with data modeling and analytics engineering (dbt experience strongly preferred), • Advanced SQL skills, including query optimization and working with large datasets, • Hands-on experience with at least one modern BI tool (Omni or Looker experience is a big plus), • Working knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Familiarity with the modern ELT/ETL landscape and data tooling, • Strong analytical intuition — you know how to measure things that actually matter, • Comfortable operating with ambiguity and building from a blank slate, • Clear communicator who enjoys teaching and enabling others, • Competitive compensation including salary and equity, • Fully-paid health, dental, and vision insurance, • Downtown Manhattan office (4 days in office), with flexible work setup and 15 days of PTO Why You'll Love Working Here: At Create Wellness, we're building a category-defining wellness brand that helps people feel their best every day. You'll join a small, high-output team where your work will have immediate and visible impact. We move quickly, expect a lot from ourselves and each other, and have fun while doing it.

Job Description Job Title: Lead Analytics and AI Engineer Location-Type: 100% Remote (working EST hours) Start Date Is: ASAP Duration: Permanent FTE Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: • Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions, • Design and build scalable data pipelines, ETL/ELT workflows, and data platform components, • Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions, • Build and optimize solutions in Databricks for analytics, reporting, and AI use cases, • Create documentation and technical requirements for offshore development teams, • Guide offshore execution and ensure solutions are delivered accurately and efficiently, • Improve data quality, performance, monitoring, and reliability across pipelines and platforms, • 5–10 years of experience in data engineering, analytics engineering, or related roles, • Strong hands-on Python and SQL skills, • Experience building and maintaining ETL/ELT pipelines and data workflows, • Strong background in data engineering, data pipelines, and data warehousing, • Databricks experience, • Experience designing and delivering data and AI solutions, • Ability to translate business needs into technical solutions, • Strong communication skills and comfort in a client-facing environment, • AWS experience, • Experience with AI/ML tools or AI solution development, • Experience with workflow orchestration tools such as Airflow, • Experience with API-based ingestion and modern cloud data platforms, • Experience supporting near real-time analytics or reporting environments

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond. What you'll do • Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets, • Design and own data architecture for large-scale projects while managing operational trade-offs, • Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains, • Define and manage Service Level Agreements (SLAs) for all owned data sets, • Implement data security models, ensure privacy compliance, and evolve data governance processes, • Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data, • Maintain production processes by optimizing complex code using advanced algorithmic concepts, • Streamline data artifact development by optimizing pipelines, dashboards, and frameworks, • Mentor team members through actionable feedback to foster collective skill growth, • Maintain flexibility with availability during evening hoursWhat we're looking for, • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, • master's degree is preferred, • 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud, • 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems, • Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt, • Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres, • Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines, • Ability to deliver high standards of code quality, system reliability, and performance, • Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments, • Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNSWhile not required, these are a plus:, • Experience with Spark and PySpark When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Product, Engineering, Design, Clinical, Operations, and Machine Learning teams to turn ambiguous questions into clear analytical recommendations that influence strategy and decision-making., • Build and establish models and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams., • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission., • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor., • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking., • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives., • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity., • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders., • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact, • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc., • Experience with leveraging LLMs on text to generate insights and amplify existing work., • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)., • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels., • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Product, Engineering, Design, Clinical, Operations, and Machine Learning teams to turn ambiguous questions into clear analytical recommendations that influence strategy and decision-making., • Build and establish models and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams., • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission., • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor., • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking., • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives., • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity., • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders., • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact, • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc., • Experience with leveraging LLMs on text to generate insights and amplify existing work., • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)., • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels., • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist - Growth and Marketing, you'll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling & causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making, • Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design, • Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity, • Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), & align on consistent metric definitions (e.g. CAC, conversion, retention), • Develop spend optimization & channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes, • Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules & guardrails for each approach, • Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigorRequirements, • 7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams, • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders, • Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.), • Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation, • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement), • Excellent ability to communicate, collaborate, and influence business partners at all levels, • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/weekBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description: Design, build, and deliver enterprise scale data engineering solutions using Microsoft Azure and Microsoft Fabric ecosystems. Develop and maintain data models, ETL and ELT processes. Collaborate with BI and analytics teams to prepare data for downstream reporting, analytics, and AI consumption. Implement data validation, cleansing, reconciliation, and quality controls. Apply security best practices including encryption and compliance with standards. Requirements: Proven hands-on experience delivering modern data engineering solutions on Microsoft Azure and/or Microsoft Fabric. Strong engineering foundation across data pipelines, Lakehouse or warehouse architectures, and relational data platforms. Experience designing and operating production data platforms. Solid understanding of data security, governance, and compliance concepts. Experience working in consulting or project-based delivery environments. Familiarity with modern engineering practices such as source control, CI/CD, and testing. Strong analytical, problem-solving, and communication skills. Microsoft Certified Azure Data Engineer Associate, required or expected within six to twelve months. Preferred: Microsoft Certified Fabric Analytics Engineer Associate or Azure Solutions Architect Expert. Benefits: Health, wellness, and financial benefits to offer peace of mind to you and your family. World-class facilities and the technology you need to thrive – in our offices or yours. Continuous professional growth and leadership opportunities.

Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content. Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today's classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student. Our award-winning, high-quality instructional materials span every grade level and discipline, from evidence-based, standards-aligned core curricula and supplemental and intervention programs to state-of-the-art assessment tools and the industry's most innovative portfolio of college and career readiness solutions - all designed to meet the needs of every learner. Responsibilities: * Work closely with the product management team to ensure we're building the best products. * Ability to comprehend business requirements and be able to map them to technical data requirements. * Perform research, analysis, design and implementation and provide effective solutions for short term and long term needs * Support and migrate existing systems to new platforms * Mentor other team members and developers. * Work in a team environment and share knowledge. * Evaluate new technologies and software products to determine feasibility and desirability of incorporating their capabilities into the platform. * Contributes as a hands-on software developer. To support collaboration and engagement throughout the hiring process, candidates must be based in Boston, MA; New York, NY; Chandler, AZ; Chicago, IL; Raleigh, NC; or New Orleans, LA and available for an in-person interview. Minimum qualifications * Master's or Bachelor's degree in Computer Science, with strong fundamentals and problem solving skills. * 6+ years of experience in architecture, design, analysis, development, testing, deployment, and maintenance of highly scalable database services and components. * 4+ years experience with transactional and NOSQL platforms including Redshift, Big Query, mySQL, PostGres, Mongo and DocumentDB. * At least 2 years of experience in Senior role mentoring developers * Understanding of Object Oriented Programming / Analysis and Design concepts, Design Patterns, and Software Development Life Cycle * Experience in a continuous integration process, employing a CI server, automated unit testing and deployment * Strong experience with Git and knowledge on using Github CoPilot * Understanding of Cloud Architecture - AWS is mandatory * Design, develop, and test ELT processes per business requirements, following the development standards and best practices as well as participate in code peer reviews to ensure ELT applications and code process comply with industry best practices * Strong knowledge and experience in data modeling & design with relational and NoSQL DBs * Demonstrated expertise in performance tuning in various DB environments * Experience building and scaling distributed, highly available systems in cloud env (AWS) * Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Nice to haves * Knowledge on DBT core for ELT processing * Knowledge on AWS services like Bedrock, Sagemaker, Amazon Glue ABOUT SAVVAS We are proud to be recognized as a Top Workplace. Our employees are our most valuable asset, and we are committed to creating a work environment that promotes their growth, well-being, and success. We develop learning solutions that empower educators and improve student outcomes thanks to our team's passion, creativity, and dedication. TOTAL REWARDS At Savvas, compensation is only one part of our total rewards package. We invest in our employees with a rewards package that combines compensation, exceptional benefits and wellness programs in addition to opportunities for professional growth. This role may also be eligible for bonus or incentive compensation. The posted hiring range reflects our good faith estimate at the time of posting and remains subject to modification. Compensation is determined by factors such as but not limited to skills, experience, budget, and internal equity. BENEFITS Starting on Day One we are committed to the health, well-being, and development of our employees. As a Savvas employee, you are eligible to participate in benefits that put you first. Our benefits include a wide range of offerings including but not limited to the following: • Medical Coverage: Choose from three distinct medical plan options. HSA/FSA options available., • Prescription Drug Benefits: Automatically included when you enroll in any medical plan., • Dental & Vision Coverage: Available to all benefits-eligible employees., • Time to Recharge: Vacation time and 10 paid holidays., • Time to Recover: Sick time and leave programs., • Financial Wellness: Employees can start securing their financial future without any delay with a 401(k) match and immediate vesting., • Wellness Programs: We recognize the importance of emotional and mental well-being, both in our work environment and in our personal lives. We are committed to providing resources and support to promote overall well-being and a healthy work-life balance. Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. ___. Savvas Learning Company is an affirmative action employer and participates in ___ Notice to California Applicants: Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to ___.

The Executive Assistant ensures our executives maintain the strategic mindset vital to a growing agency. We're hiring an Executive Assistant to support select members of our Executive Leadership Team (ELT).