Trabajos elt en Hoboken, New JerseyCrear alertas

API-based extraction, streaming, ETL, and ELT pipelines.Spark, Presto, and SQL-based platforms in POV environments.AWS, Azure, GCP, private cloud, and on-premises environments.AI-driven prototypes showcasing RAG, automation, and agentic workflows.AI feasibility using hybrid and GPU-accelerated envir

Job Description WHO WE ARE Crossmedia is the global media independent. We're committed to doing media and business the right way, guided by the principles of TRUST, REASON and the Pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Crossmedians worldwide with big ambitions to continue to grow with soul. We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients' greatest business challenges. The Pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues' professional & personal wellbeing and growth. It's why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age's Best Places to Work for the past seven years in a row. We have offices in the US in New York and Philadelphia, with employees across 25+ states, as well as in London and Germany. Our client roster includes U.S. Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, American Cancer Society, Ricola, Herschend Family Entertainment, Edible Arrangements and more. YOUR ROLE We're hiring an Executive Assistant to support select members of our Executive Leadership Team (ELT). The role covers administrative functions as well as on-site meeting & event support in collaboration with our Operations team. This position is based in the NY office. While we offer a hybrid work setting, due to the nature of the role, there is an expectation of in-office presence most of the time (4 days a week) and when needed for executive or event support. The Executive Assistant ensures our executives maintain the strategic mindset vital to a growing agency. The ideal candidate has the organizational talents to keep calendars aligned, travel smooth, minutiae handled and the right information prioritized so that our leaders can focus on the broader agency vision. RESPONSIBILITIES • Enhance the efficiency & focus of assigned ELT member(s) to ensure that agency goals are accomplished, and the company operates in a manner true to our values (or as we say - Scale with Soul), • Proactively manage complex schedules & coordinate meetings across domestic & international time zones and internal & external parties, • Manage travel arrangements including transportation, lodging and any related advance coordination (e.g. local information detail, itineraries, etc.), • Manage executive communications including filtering & prioritizing incoming information & requests, drafting client & vendor correspondence, contact management and liaising with various internal executives & group leaders as needed, • Assist with executive meetings including booking conference rooms, food & beverage, IT & other appropriate resources, • Handle executive documentation needs (e.g. expenses, timesheets, internal processes) and ensure timely submission & compliance, • Monitor executive communications as needed during off-hours, including occasional weekend check-ins, to ensure urgent matters are addressed in a timely manner, • Maintain professionalism and strict confidentiality with all materials & conversations, • Support on-site/off-site agency meetings & events in collaboration with the XM Operations team, • Four or more years of experience in an administrative role reporting directly to upper management, • Resourceful, proactive and can problem-solve quickly, • Extremely organized, detail-oriented and able to anticipate executive needs, • Advanced time-management skills, able to multi-task and coordinate multiple concurrent projects, • Collaborative and team-oriented, • Excellent written and verbal communication skills, • Savvy with computer skills including Microsoft Word, PowerPoint, Excel, Outlook and experience with Smartsheet is a plus, • AI experience and capabilities --, • Use AI tools to streamline emails, documents, and presentations, • Manage calendars, meetings, and projects with smart automation, • Support leadership with research, reports, and actionable insights CROSSMEDIA BENEFITS Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including: • Flexibility to work in hybrid manner with in-office and work from home options (depending on role)., • Open/Flexible PTO with US & UK specific policies, • Sponsored healthcare options and agency-wide physical & mental health support, • 401k with company match (USA), and generous Pension (UK), • Paid sabbatical at significant milestone anniversaries, • Generous paid parental leave policy, • Life milestone recognition & support, • The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development), • Cell phone/tech reimbursement, • Student Loan payment plan (US), • Tuition reimbursement, • Learning & Development and training programs, • And burgers – lots and lots of burgers COMMITMENT TO DIVERSITY AND INCLUSION Diversity is in our DNA. As a minority-owned company, our commitment to an inclusive environment has long been embedded into agency practices and at every level. Almost one third of senior leadership identifies as a person of color and over half of our executive leadership are women. We have active mentoring & internship programs that create opportunities for underrepresented groups. Internal agency programming is anchored by XMEquity365, a permanent, year-round initiative fostering acknowledgement and support of marginalized communities within five pillars – Excellence, Voices, Education, Giving & Representation. Crossmedia is committed to providing equal employment opportunities and creating a diverse and inclusive company culture and that does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other basis prohibited by applicable federal, state, or local law. All job requirements are subject to possible revision to reflect changes in the position requirements, business necessities and/or to reasonably accommodate individuals with disabilities. Essential and other job functions are subject to modification. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with laws in the US and UK ). Continued employment remains on an "at-will" basis." Reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions in compliance with the American with Disabilities Act of 1990 (US based) Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: • Prolonged periods of sitting at a desk and working on a computer. Must be able to remain in a stationary position 50% of the time., • Ability to stand, bend, and reach, • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer., • The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.

Solid understanding of ELT patterns and data pipeline architecture.

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: Wiley is executing a focused portfolio transformationthrough M&Ato accelerate its evolution as a research and learning company. The Director, Finance M&A is a newly created role within FP&A, to give that agenda the dedicated capacity and business partnership it requires. The role partners closely with commercial and operational leaders to align on revenue assumptions, growth drivers, and synergy commitments, translating these discussions into robust, financially sound transaction analyses. It requires credibility and influence across Corporate Development, the business units, and the operational teams ultimately responsible for delivering synergies. This is a highvisibility, executionfocused role with direct exposure to the CFO, CEO, ELT, and external stakeholders, offering a clear development path toward senior leadership within FP&A or Corporate Development. The role reports to the SVP of FP&A. Job Responsibilities: Transaction Analysis & Business Partnering • Lead financial analysis for acquisitions, divestitures, and strategic partnershipsonbuy-side and sell-side, • Own the Finance workstream during due diligence: quality of earnings, working capital, synergy modeling, and integration/separation cost estimation, • Partner with business and operational leaders to develop and pressure-test revenue assumptions, growth drivers, and synergy targets ensuring financial models reflectproper valuation, • Collaborate closely with Corporate Development, bringing FP&A's proximity to internal data, business context, and financial planning processes to improve deal evaluation FP&A M&A Integration • Own hypotheticalM&Ascenario planning end-to-end, relieving capacity pressure on the broader FP&A team, • Translate active and pending transactions into the operating financial plan: carve-outs, integration budgets, stranded cost analysis, and pro forma modeling, • Maintain a live deal pipeline tracker with financial context, updated for leadership review on a regular cadence Post-Close Financial Integration • Own post-close financial integration, working within FP&A to establish reporting structures, chart of accounts alignment, and financial process setup for newly acquired or divested businesses, • Oversee all traditional post close activities includingbut not limited tosynergy realizationand integration cost commitments, • Serve as the financial integration lead across Finance, Accounting, Treasury, and Tax during the post-close period Capital Allocation & Reporting • Develop financial frameworks to evaluate portfolio composition, ROIC, and capital deployment across inorganic activity, • Support CFO, FP&A, and Investor Relations with M&Arelated financial narrative for earnings, Board materials, and management presentations, • Contribute to Finance Transformation objectives building a repeatable, disciplined M&A finance playbook that institutionalizes best practices across the team Team & Resource Management • Manage contingent and/or offshore analyst support to flex capacity with deal activity, • Build and advance due diligence templates, integration checklists, and scenario planning frameworks that make the broader FP&A team more effective over time Required Qualifications: • Proven experience in investment banking, corporate development, FP&A, or a dedicated M&A finance function, • Demonstrated experience contributing to financial due diligence on buy-side and/or sell-side transactions, with particular emphasis on business partnering and assumption development alongside modeling, • Experience working across commercial and operational functions to align on synergy targets and integration plans is strongly valued, • Post-close financial integration experience is a plus but not required, • Industry background in publishing, technology, information services, data/analytics, or SaaS preferred but not required, • Strong financial modeling and valuation skills: DCF, accretion/dilution, synergy builds, working capital and quality of earnings analysis., • Fluency in separation accounting, carve-out financials, and stranded cost modeling, • Exceptional business partnering skills able to engage credibly with commercial and operational leaders and translate qualitative business insight into financial assumptions, • Clear, direct communicator who can synthesize complex analysis for the CFO, CEO, andELT Preferred Qualifications: • 7+ years in investment banking, corporate development, FP&A, or a dedicated M&A finance function. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 145,200 USD to 212,800 USD#LI-JG1 Job Posting Title: Director of Finance - M&A Location: Hoboken (HQ), NJ, USA

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP). This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation * Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. * Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. * Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks). 2. End-to-End Data Engineering * Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats. * Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. * Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 3. Optimization & Performance Tuning * Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. 4. Public Sector Advisory & Governance * Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. * Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We're excited about you if you have: (Minimum Qualifications): * Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. * Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems. * Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. * Experience developing visual data representations and dashboards (Django, React, or Angular) * Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc) * Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). * Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). * Active Top Secret Security Clearance You may also have: (Preferred Qualifications) * Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. * Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data Platform * Experience installing and operating Kubernetes * Experience in Air-Gapped deployments and managing AI workloads in disconnected environments. * Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. * Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

We are seeking a SAS Viya Engineer/Developer to design, build, and manage data pipelines, analytics workflows, and data engineering processes using SAS Viya. This role focuses on transforming and governing data, implementing DataOps practices, and optimizing legacy workloads while enabling high-performance analytics through distributed processing. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Key Responsibilities: • Design and manage data pipelines and analytics workflows using SAS Viya, • Build, schedule, and execute complex ETL/ELT processes for large-scale data, • Prepare, transform, and govern data across the SAS data lifecycle, • Implement DataOps practices including automated data scanning, profiling, and quality checks, • Utilize CAS distributed computing for parallel data processing and performance optimization, • Manage data access, lineage, and cataloging to support data governance, • Integrate SAS Viya with external sources (SQL databases, Spark, and big data platforms), • Migrate and optimize legacy SAS jobs into the SAS Viya lifecycle, • Collaborate with developers and stakeholders to improve data workflows and performanceMinimum Qualifications:, • 5+ years of experience in data engineering, analytics engineering, or SAS platform development, • Hands-on experience working within SAS Viya environments, • Experience supporting enterprise or mission-critical data platforms, • Strong experience with SAS Viya and CAS distributed computing architecture, • Experience designing ETL/ELT pipelines for big data environments, • Understanding of DataOps principles and automation for data quality and governance, • Experience with data lineage, access controls, and data cataloging, • Integration experience with SQL databases and Apache Spark, • Experience optimizing and migrating legacy SAS workloads, • Must Be US Citizen with ability to obtain Public Trust Clearance Preferred Certification: Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) 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. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

ETL/ELT Development, Informatica PowerCenter, Talend, SSIS, SQL, PL/SQL, Data Warehousing, Data Modeling, Source-to-Target Mapping, Data Quality & Validation, Batch Processing, Unix/Linux Shell scripting, Scheduling tools (Control-M), Cloud Platforms (AWS/Azure), CI/CD pipelines, Git, Agile methodol

• 7+ years in Product Management focused on data platforms or analytics infrastructure, leading scalable, compliant, AI-ready data ecosystems in regulated environments., • Strategic technical leader driving end-to-end data platform initiatives that enable trusted analytics, production AI, and long-term scale., • Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office Start your adventure with Zip The Senior Technical Product Manager (Data Platform) owns the strategy, roadmap, and execution of Zip’s foundational data platform. This is a platform-focused role, not a business use-case PM position. You will be responsible for building and scaling reliable, compliant, and AI-ready data infrastructure that powers analytics, risk modeling, fraud detection, regulatory reporting, and production AI capabilities across the company. This role ensures our data assets are trusted, governed, scalable, cost-efficient, and accessible through self-serve capabilities—while meeting the regulatory standards required in fintech. You will partner closely with Data Engineering, ML Engineering, Agentic AI, Enterprise Architecture, Risk, Compliance, and Product teams to define platform priorities and deliver durable infrastructure that scales with the business. Interesting problems you’ll get to solve Data Platform Strategy & Roadmap • Define and execute the multi-year vision and roadmap for Zip’s enterprise Data Platform., • Own foundational capabilities, including ingestion, storage, transformation (ETL/ELT), orchestration, metadata management, and access control., • Ensure alignment with company-wide analytics, AI, and regulatory priorities., • Balance speed, reliability, scalability, compliance, and cost in roadmap decisions. Data Governance, Controls & Compliance • Define and operationalize data contracts between producers and consumers., • Ensure lineage tracking, auditability, and regulatory reporting integrity., • Partner with Risk and Compliance to align with data privacy and regulatory requirements (e.g., SOX, KYC, AML, GDPR where applicable). Reliability, Quality & Platform Health • Define data quality standards, SLAs, freshness requirements, and certification processes., • Establish measurable platform health metrics (uptime, quality scores, adoption, cost efficiency)., • Drive proactive monitoring and observability for pipelines and datasets., • Reduce friction for AI and analytics teams by improving data discoverability and trust. AI & Advanced Analytics Enablement • Ensure the data platform supports production-grade AI/ML workloads., • Enable reusable, well-governed data foundations for feature engineering and experimentation., • Partner with ML Engineering to ensure model-ready, high-quality datasets., • Transition the organization from AI experimentation to scalable, production-ready AI capabilities. Self-Service & Adoption • Enable self-service analytics capabilities while maintaining governance guardrails., • Improve discoverability and usability of certified datasets., • Drive adoption of standardized, governed data assets across teams. Cost Optimization & Scalability • Partner with engineering to optimize warehouse, compute, and storage costs., • Drive architectural decisions that scale efficiently as data volume and AI usage grow., • Continuously evaluate tradeoffs between performance, reliability, and cost. What you’ll bring to the team • 7–10+ years in Product Management or equivalent experience, with a focus on data platforms, data engineering, or analytics infrastructure, • Strong understanding of modern data architectures (lakehouse, warehouse, ELT/ETL, streaming/event-driven systems), • Experience defining and managing data contracts, governance frameworks, and quality standards, • Experience operating in regulated environments (SOX compliance strongly preferred; fintech or financial services experience a plus), • Deep familiarity with data platforms such as Snowflake, BigQuery, Redshift, Kafka/Kinesis, or similar ecosystems, • Strong ability to translate complex technical capabilities into measurable business impact, • Demonstrated experience driving cross-functional alignment across engineering, compliance, and business teams, • Comfortable making principled tradeoffs between speed, reliability, compliance, and cost What Sets You Apart • Experience enabling AI/ML workloads through reusable, governed data infrastructure, • Systems thinker who understands interconnected platform tradeoffs, • Strong technical fluency with data engineering patterns and architecture decisions, • Ability to influence without authority and lead through alignment. What you’ll get in return Zip is a place where you’ll get out what you put in. The newness of our sector means we need to move at pace and embrace change, and our promise to you when you join the team is that you’ll feel empowered and trusted to make big things happen quickly. We want you to feel welcome and as though you have the support to be yourself, and care for yourself at work. Because it’s important to us that you make the most of the opportunities you’ll get to grow your skills and your career, and be surrounded by smart, friendly people and leaders that have your back. We think these are just some of the best things about being a Zipster. We will also offer you: • Flexible working culture, • Incentive programs, • Unlimited PTO, • Generous paid parental leave, • Leading family support policies, • Company-sponsored 401k match, • Learning and wellness subscription stipend, • Beautiful Union Square office with a casual dress code, • Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available The Pay Range for this position: $155,000-165,000 based on the industry benchmark for position, function, level and Zip's compensation strategies. However, actual base salary will depend on varying circumstances and individualized factors, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. #LI-Remote Be a part of a team that reflects the diversity of our customers We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique. Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience. And finally…get to know us Zip is a global ‘Buy Now, Pay Later’ company that gives our millions of customers simpler and fairer ways to pay. We are proud to be a global business built around our US and ANZ core markets working with merchant partners including Amazon, Best Buy, eBay and Uber. United by our mission, purpose and values - Customer First, Own It, Stronger Together & Change The Game - we are the next generation We are Zip, and we are just getting started. Zip participates in the federal government’s E-Verify program

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states. We are seeking a highly motivated Data Engineer who will play a key role in the design, development, and optimization of our data platforms and advanced analytics applications. In this technical role, you will collaborate closely with engineering, product, operations, and customer success teams to develop scalable, reliable, and high-performance data platforms and analytics applications, leveraging best practices. Your work will directly power advanced analytics, machine learning, and mission-critical business operations across the organization with significant impact on our customers and patients. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only. • Design, build, and own scalable data platforms that power analytics, machine learning, regulatory reporting, and mission-critical operational systems., • Develop robust ELT workflows, data models, and distributed processing jobs using modern cloud data technologies., • Implement modern data engineering solutions using technologies such as Python, SQL, dbt, Airflow, Snowflake, Tableau, Power BI, AWS data services, containerization (Docker/Kubernetes), and related cloud-native tools., • Leverage best practices to ensure data quality, integrity, lineage, governance, performance, and reliability across all pipelines, data platforms, and analytics applications., • Establish and maintain SLAs, monitoring, and alerting for mission-critical data services with observability design and implementation., • Identify and resolve performance bottlenecks to ensure scalable and cost-efficient data processing., • Other duties as assigned by supervisor or HHAeXchange leader., • Travel up to 10%, including overnight travel, • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field., • 2+ years of combined software and data engineering experience with a strong focus on distributed data processing and data-intensive applications., • 1+ years of experience implementing, and maintaining reporting and analytics tools (e.g., Tableau, Power BI, DOMO), with knowledge of data visualization best practices., • Experience in Python, SQL, query and database optimization, data pipelines, data modeling, and privacy/security best practices., • Experience with cloud platforms (AWS, Azure, or GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift, etc.)., • Excellent communication and collaboration skills., • Desired qualification: 1+ year experience in healthcare or homecare technology (EHR, HL7/FHIR) or regulated industries and product development.

___ provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the ___ list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the ___ and testified before the ___ on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. We’re looking for an Engineering Manager to lead our Data Platform team, responsible for building and scaling the data infrastructure that powers SentiLink’s products and decisioning systems. This team owns the pipelines, storage systems, and data services that enable all of our products, data analysis and business intelligence. These systems are foundational to how we detect fraud, power machine learning models, and deliver insights to customers. As the manager of this team, you will lead a group of engineers responsible for designing and operating scalable data systems—from ingestion and transformation to serving and analytics. You’ll partner closely with Data Science, Product, and Engineering teams to ensure data is reliable, accessible, and actionable across the company. This role sits at the intersection of data engineering, platform architecture, and people leadership. You’ll define technical direction, improve the reliability and scalability of our data systems, and help evolve our data platform to support the company’s next stage of growth. We’re looking for a manager who has strong data engineering fundamentals and enjoys engaging deeply with technical systems—guiding architecture, reviewing designs, and helping solve complex data challenges. This is a remote, US-based position. Technologies: Golang, Python, PostgreSQL (RDS), Redshift, EMR, Spark, Docker, OpenSearch, AWS technologies (Lambda, Cognito and other standard services) * Lead and grow a team of data engineers responsible for SentiLink’s data platform and infrastructure * Define and drive the technical vision for data ingestion, processing, storage, and serving systems * Design and evolve scalable data pipelines (batch and real-time) to support product and data science use cases * Ensure high standards for data quality, reliability, and observability across all data systems * Partner with Data Science to enable their pipelines and enable efficient access to high-quality data * Collaborate with Product and Engineering teams to power data-driven features and decisioning systems * Work closely with Infrastructure to optimize performance, cost, and scalability of data systems * Establish best practices for data governance, schema management, and pipeline reliability * Support operational excellence, including monitoring, alerting, and incident response for data systems * Hire, mentor, and develop engineers while maintaining a high hiring bar * Foster a culture of ownership, accountability, and continuous improvement * Contribute to architecture and technical problem-solving as needed * 2-5+ years of engineering management experience leading data or platform teams * Strong background as a senior or staff-level data engineer or backend engineer with data focus * Experience building and scaling data platforms, including ETL/ELT pipelines and data infrastructure * Proficiency in Python, Golang, or similar languages * Deep understanding of distributed data systems, batch and streaming architectures * Experience with cloud-based data platforms (AWS, GCP, or Azure) * Strong knowledge of databases, data modeling, and query optimization (SQL, RDBMS, data warehouses) * Track record of delivering reliable, scalable data systems in production environments * Comfortable leading technical discussions and diving into system design details * Experience operating in fast-paced, startup or growth-stage environments * Experience with big data and streaming technologies (Spark, Kafka, Flink, etc.) preferred * Familiarity with data lakes, warehouses (Redshift), and modern data architectures preferred * Experience building data platforms that support ML or fraud/risk systems preferred * Fintech or fraud domain experience preferred $200,000/year - $240,000/year + equity + benefits * Employer paid group health insurance for you and your dependents * 401(k) plan with employer match (or equivalent for non US-based roles) * Flexible paid time off * Regular company-wide in-person events * Home office stipend, and more! * Follow Through * Deep Understanding * Whatever It Takes * Do Something Smart

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. SmartAsset’s Data Engineering team builds and maintains the scalable, low-latency systems that power data access across the company. Our platform supports real-time and batch data needs for analytics, reporting, and machine learning, serving teams across Marketing, Product, Sales, and Finance. You’ll be part of a growing data organization that includes analysts, data scientists, and ML engineers that are at the forefront of AI/ML application for the company. As a Senior Data Engineer, you'll work cross-functionally to evolve our architecture, optimize data latency, and build robust solutions that enable data-driven decisions at scale. SmartAsset is looking for a seasoned Senior Data Engineer with 7+ years of hands-on experience to help build and optimize the backbone of our data platform. In this role, you’ll design and implement high-impact, cloud-native solutions that improve data reliability, reduce latency, and scale with our growing business. You’ll play a key role in enabling data products, real-time analytics, and cross-functional decision-making by delivering clean, well-structured, and accessible data. Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology. • Develop and manage robust data integrations with external vendors and organizations (including complex API integrations)., • Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions., • Lead and take ownership of assigned technical projects in a fast-paced environment., • Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure., • Bachelor of Science degree in Computer Science or equivalent practical experience., • 4+ years of dedicated experience building and maintaining complex ETL/ELT pipelines., • 3+ years of Python development experience, specifically building production-grade data APIs using FastAPI or similar frameworks., • Strong expertise in SQL, including advanced query optimization and performance tuning., • Expert-level proficiency in dbt implementation, including managing models, macros, and incremental and dynamic tables., • Extensive hands-on experience with Snowflake, including performance optimization, data recovery using Time Travel, and advanced data modeling techniques., • Practical experience with key AWS data services such as Kinesis, Firehose, Redshift, Spectrum, Elastic MapReduce, and Lambda; and container orchestration services like ECS and EKS for deploying and managing data applications., • Proven experience designing and building near real-time data processing systems., • Experience with data observability tools for proactive monitoring of data quality, lineage, and pipeline health., • Familiarity with modern data orchestration platforms such as Argo or Airflow., • Hands-on experience with the full software development lifecycle (SDLC), including strong CI/CD practices for data pipelines and proficiency with data testing frameworks., • Demonstrated ability to identify and adopt new technologies that improve data quality and reliability., • Deep understanding of the data lifecycle, emphasizing the importance of high-quality data in applications, machine learning, business analytics, and reporting., • Proven track record of mentoring junior team members., • Experience with data ingestion tools like Singer is a plus., • Knowledge of analytics tools such as Tableau, Plotly, and Pandas., • Experience in the financial services industry. Physical Requirements: • 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), • 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, • Home Office Stipend SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at . California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* $135,500 - $200,000 + 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.

We are looking for a Staff Data Engineer to help us design, build, and scale the data systems that power how Foley operates and grows. In this role, you will lead the development of robust data pipelines, shape our enterprise data architecture, and set the standard for how we model, govern, and access data across the organization. You will operate as a technical leader, influencing how teams think about data, enabling better decisions, and ensuring our systems are scalable, reliable, and built for the future. * Lead the design and evolution of our enterprise data architecture, contributing to our Enterprise Data Model (EDM) initiative * Define standards and best practices for data modeling, storage, and access across systems * Drive architectural decisions that balance scalability, performance, and maintainability * Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data warehouse * Ensure high data quality, reliability, and observability across all pipelines * Optimize data workflows for performance and efficiency * Own data warehouse schema design (e.g., dimensional modeling, normalization strategies) * Define and implement role-based access control (RBAC) and data governance best practices * Partner with stakeholders to ensure data definitions are clear, consistent, and trusted * Act as a technical expert and partner to Engineering, Product, Analytics, and Business teams * Influence decisions through strong communication, clear tradeoffs, and practical solutions * Raise the bar for data engineering practices across the organization * Identify opportunities to improve how we work through automation, tooling, and AI * Experiment thoughtfully with new approaches and scale what works * Continuously improve system design, development practices, and team effectiveness * Deep expertise in database architecture and distributed data systems * Strong experience building and maintaining ETL/ELT pipelines in production environments * Proven ability to design scalable data warehouse schemas and data models * Experience implementing data governance practices, including RBAC * Strong software engineering fundamentals (backend systems, data processing, reliability) * Ability to operate at a Staff level: driving technical direction and influencing across teams * Experience with Python, SQL, AWS, Redshift, Airflow * Experience building or supporting machine learning (ML) pipelines in production environments * Experience partnering with Data Science teams to develop and operationalize data products * Think in systems and tradeoffs, not just tools or implementations * Enjoy solving complex, ambiguous data problems and turning them into scalable solutions * Communicate clearly with both technical and non-technical stakeholders * Take ownership of outcomes and raise the bar for those around you * Are curious and proactive about using new tools, including AI, to improve how work gets done Location: This role is primarily remote (US-based) and operates in EST hours, with occasional travel for team collaboration and company events. This role may be based remotely out of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Maryland, Massachusetts, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Wisconsin. At Foley, we’re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We’ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer. As we continue to grow, we’re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that’s passionate about building great products and supporting customers. Our core values — Teammateship, Grit, and Innovation — guide everything we do. Whether we’re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success. Benefits Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program. Equal Employment Opportunity Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic. Reasonable Accommodations If you require a reasonable accommodation during the application or interview process, please contact us at Employment Status Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

___ provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the ___ list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the ___ and testified before the ___ on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. As a Senior Software Engineer on the Data Platform team at SentiLink, you will own the data infrastructure components that support the SentiLink suite of products. You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products. You have outstanding programming skills and are proficient in our technology stack and pick up new technologies quickly as we evolve. This is a remote, US-based role. Technologies: Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies * Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships * Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements * Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards * Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores * Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products * Participate in call rotation for production issues, along with the rest of engineering * Mentor junior engineers and contribute to our evolving engineering best practices * Drive innovation by actively participating in our hackathons and doing proof of concepts * Develop functional subject matter expertise within various areas of identity fraud domain * 5+ years of experience in software engineering, data engineering or related field * Proficient in in python or golang and related technologies and frameworks * Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies * Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP * Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques * Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms * Working knowledge of Infrastructure-as-Code and devops practices * Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey) * Self organized and ability to work independently and with ambiguity * Experience working in a scrum / Agile development environment * Bonus points if you have: * Experience working with Spark/EMR * Built streaming applications * Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc. * Prior experience working in a fintech startup * Candidates must be legally authorized to work in the United States and must live in the United States * $170,000/year - $240,000/year + equity + benefits * Employer paid group health insurance for you and your dependents * 401(k) plan with employer match (or equivalent for non US-based roles) * Flexible paid time off * Regular company-wide in-person events * Home office stipend, and more! * Follow Through * Deep Understanding * Whatever It Takes * Do Something Smart

Basic Function The Product Manager, Data at Lumin Digital is responsible for owning and driving the strategy, roadmap, and execution of data and analytics products that empower financial institutions and their members. This role sits at the intersection of data engineering, financial services, and product development – translating complex data capabilities into meaningful, intuitive experiences for credit unions and banks. You will work closely with data engineers, analysts, designers, and key stakeholders to deliver data products that unlock insights and drive measurable outcomes for our clients. Essential Functions and Responsibilities: * Define and own the product vision, strategy, and roadmap for Lumin Digital’s data and analytics capabilities, aligning with company objectives and client needs. * Partner with data engineering teams to prioritize and deliver scalable data infrastructure, pipelines, and analytics features built on Databricks and associated data platform technologies. * Leverage Pendo and other product analytics tools to monitor user behavior, measure feature adoption, and inform data-driven product decisions across the platform. * Translate complex data and analytics requirements into clear, actionable user stories, epics, and acceptance criteria for engineering teams. * Develop a deep understanding of the financial services landscape – including regulatory requirements, member data privacy standards, and the unique data needs of credit unions and banks. * Identify and define key metrics, KPIs, and dashboards that help financial institution clients measure engagement, growth, and operational performance. * Collaborate with client-facing teams to gather feedback, validate hypotheses, and incorporate insights into the product roadmap. * Partner with design, engineering, and QA to deliver high-quality analytics features and data products within Agile SCRUM sprints. * Serve as an internal subject matter expert on data strategy, analytics tooling, and data governance best practices within financial services. * Engage with the Lumin Digital community, contributing to organizational growth through honest, candid, and respectful feedback. * Partner with data science and engineering teams to support AI/ML use cases and ensure scalable, production-ready data foundations. * Perform other duties as assigned. 30 / 90 / 365 Success Milestones 30 days : * Gain a deep understanding of Lumin Digital’s product portfolio, data infrastructure, and key client stakeholders. Build relationships with cross-functional teams across data engineering, design, and client services. 90 days : * Take ownership of key data product initiatives, contributing to roadmap prioritization and the delivery of analytics features. Begin leveraging Pendo and Databricks insights to surface actionable recommendations. 1 year : * Deliver impactful data products that demonstrate measurable improvements in client adoption, member engagement, and business outcomes for financial institutions. Establish Lumin Digital’s data product practice as a competitive differentiator in the digital banking market. Requirements * 4+ years of product management experience, with at least 2 years leading on the product and analytics side — including hands-on experience building or laying down the roadmap for an analytics platform, not just supporting one. * ___ least 3 years of experience building data and analytics products at an enterprise level, ideally in a B2B SaaS environment with distribution-level clients — hands-on experience building third-party integrations and tools such as Tableau is a strong plus. * Hands-on experience with Databricks, data lakehouse architectures, or equivalent big data platforms (e.g., Snowflake, Redshift, dbt). * Experience with Pendo or similar product analytics tools (e.g., Amplitude, Mixpanel) — this role will work alongside another product manager to help develop and utilize Pendo as a core part of the analytics workflow. * Strong understanding of data pipelines, ETL/ELT processes, data modeling concepts, and BI tooling (e.g., Tableau, Looker, QuickSight). * Familiarity with data privacy and compliance requirements relevant to financial institutions, including NCUA, CFPB, and applicable data security standards. * Proficiency in Agile methodologies and tools (e.g., JIRA, Confluence). * Excellent written and verbal communication skills with the ability to translate complex data concepts for non-technical audiences. * Strong analytical and problem-solving skills with a bias toward data-driven decision-making. * BA/BS degree in a related field, or equivalent combination of education and professional experience. Preferred Qualifications * Experience working with or building products for credit unions or community banks. * Experience working with or building products for credit unions or community banks. * Familiarity with digital banking platforms, member data, or financial analytics use cases. * Experience with A/B testing, experimentation frameworks, or advanced segmentation. * Background in SQL and the ability to self-serve on data analysis. * Experience managing data governance or data catalog initiatives within a regulated industry. $145,000 - $165,000 a year LIFE AT LUMIN DIGITAL Lumin Digital is a trailblazer in digital banking solutions, driven by a unique approach to technology, service, and people. We empower credit unions and banks by creating cutting-edge digital experiences that continuously serve, engage, and grow their membership base. Lumin is 100% cloud-native, purpose-built to unlock the full advantages of the cloud for financial institutions and their users. At Lumin, we thrive on curiosity and innovation. Our culture fosters trust - in our expertise and decisions, respect - for diverse perspectives and talents, and boldness - in pursuing innovative paths. These values guide us, shaping a workplace where collaboration thrives, ideas flourish, and new possibilities are discovered. Focused on continuous improvement and innovation, we encourage our team to explore, experiment, and put new ideas into action, challenging the usual way of doing things. Lumin Digital is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. For more information, visit ___. 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.

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out ___ and connect with us on ___and ___. Travel to Office expectations For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. In this role, you contribute to the PointClickCare’s data platform vision and strategy, define and own roadmaps, and drive execution and delivery of products to ensure overall success across the entire product portfolio. You represent the needs of customers, healthcare providers, industry partners and other related network members internally and externally. To succeed in this role, you draw upon your extensive knowledge and experience of health data and its uses, data pipelines, governance to deliver clinical and operational data at scale for analytics and AI. You have a track record of building sophisticated solutions – from discovery to implementation to delivery. You bring a collaborative approach to this cross functional leadership role to ensure successful outcomes for our customers, while optimizing time to value. The Principal PM will partner closely with architecture, engineering, data science, clinical, compliance, and infrastructure teams to build a secure, interoperable foundation that supports analytics, AI/ML, care delivery, and new product innovation across the enterprise. This role demands deep expertise in health data domains and a strong ability to rapidly turn complex technical challenges into actionable platform strategy. * Define and drive the longterm strategy for a unified health data platform supporting clinical, operational, and product use cases. * Collaborate to define architecture for ingesting and processing billions of patient data points across diverse systems (EHRs, claims, labs, devices, thirdparty APIs). * Lead platform initiatives that improve data completeness, lineage, governance, and quality. * Partner with product teams to enable them to: define data models and canonical representations to support downstream applications, including AI/ML pipelines. * Partner with engineering to evaluate and adopt technologies for rapid ingestion, streaming, ETL/ELT frameworks, data lakehouse systems, and distributed compute. * Influence infrastructure strategy to improve resiliency, observability, and cost efficiency across the data stack. * Collaborate with clinicians, data scientists, and compliance leaders to ensure platform capabilities align with realworld healthcare needs and regulatory expectations. * Facilitate crossteam decisionmaking, often balancing accuracy, technical feasibility, security, and cost. * 12-15+ years of product management experience, with at least 5 years focused on health data platforms or clinical data systems. * 3+ years of experience working with data pipelines for AI use, including enrichment pipelines, data science use, including use of MCP servers with agents. * Management of Healthcare Data and its use across the range of PointClickCare’s customer segments and users. Work experience with Health Plans, EHRs, and Long Term Post-Acute providers is preferred. * Deep understanding of healthcare data formats, ontologies, and regulatory contexts. * Strong technical fluency across data pipelines, APIs, cloud architectures, and distributed systems. * Experience working with data governance, data catalogs, and stewardship * Experience working with clinical teams and navigating healthcare workflows. * Technical degree preferred (Computer Science, Health Informatics, Information Systems, or related fields). * Systems thinker with the ability to connect clinical data structure, platform architecture, and AI/analytics needs. * Exceptional communicator adept at simplifying complex technical and regulatory concepts for diverse audiences. * Highly autonomous leader comfortable driving multiteam initiatives without direct authority. * Obsessively focused on data quality, reliability, integrity, and endtoend lineage. * Passionate about improving care outcomes, patient experience, and clinician efficiency through highquality health data infrastructure. $170,000 - $189,000 a year At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $170,000 - $189,000 + bonus or commission + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process. Why PointClickCare · Market leader: #1 EHR platform for long-term and post-acute care in North America · Massive data advantage: Decades of real-world insights from millions of resident journeys · Mission-driven: Our technology helps caregivers deliver better outcomes for seniors · Growth stage: Senior Living is a strategic priority with significant investment and executive sponsorship · Culture: Collaborative, customer-obsessed, and committed to continuous improvement PointClickCare Benefits & Perks: Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact ___ should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with ___. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: ___ PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. 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. 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.

We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that. The Company As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products. Job Overview: We are seeking a highly skilled Senior Data Engineer - DBX Platform (ML & Feature Engineering Focus) with a strong software engineering background to join our AI/ML Engineering GSI IT Team. In this role, you will be focused on building a DBX-based data platform that powers machine learning and advanced analytics. This role is ideal for someone who thrives at the intersection of data engineering, ML infrastructure, and software development, and is passionate about enabling scalable, production-grade feature engineering pipelines. Key Responsibilities: • Build and optimize DBX ETL/ELT pipelines for feature extraction, transformation, and loading from structured and unstructured data sources., • Collaborate with ML engineers, data scientists, and software developers to deliver reliable, reusable, and versioned feature sets., • Implement CI/CD pipelines, testing frameworks, and observability for data workflows., • Develop feature stores, metadata tracking, and lineage tools to support data Ops., • Ensure data quality, governance, and compliance across all data assets., • Optimize performance and cost-efficiency of DBX clusters and jobs for data workloads., • Contribute to the architecture and design of the data platform and feature engineering framework. Qualifications: • Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for DBX., • Expertise with libraries and frameworks (e.g., Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, DBX, MLFlow, dvc, dbt) and the ability to select the right tools for the use case., • Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling., • Very good Azure and data & AI technology skills - specifically: DBX/ Python, Azure DBX Store, Azure AI Search., • Experience with DevOps practices, including Git, CI/CD using tools such as Azure Pipelines, or similar., • Several years of experience in machine learning, data science, or a related field, with a strong understanding of statistics and data analysis., • Experience with Azure especially with data and ML services, containerization (Docker. Preferred Qualifications: • Advanced Degree: Master's degree in Computer Science, Engineering, Mathematics, with 5+ years of ML implementation experience or Ph.D. with 2+ years of hands-on ML Project experience., • Experience with Big Data: Strong proficiency with big data technologies such as Azure DBX and Spark., • Leadership Experience: Previous experience leading a team of data scientists or engineers. Benefits: • Competitive employee benefits, including comprehensive health insurance, dental and sports coverage, and opportunities for certified training., • Flexibility in work arrangements, including home office options and flexible working hours., • A positive, team-oriented environment that fosters mutual trust, creativity, and initiative., • Opportunities for career growth within a global, innovative framework., • A diverse, multicultural workplace with a strong emphasis on team collaboration and professional development. At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location. The base salary range anticipated for this position is $104,200 - $152,800 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: As an individual contributor on the Product team, you will pay a critical role in contributing to the success of Capital Rx. The Capital Rx Product team seeks individuals who are passionate about improving the landscape of pharmacy prior authorizations, while providing superior service. The expectations for growth in this role are to push beyond the core data and reporting and to serve as an expert across all domains of Judi, our Enterprise Health Platform. Position Responsibilities: • Provide subject matter expertise support on Judi's function and reporting capabilities related to prior authorization, • Take accountability for accurate translation of reporting requirements for Capital Rx's customers, • Support analytics and reporting needs for the prior authorization team and related groups, • Own swift resolution and clear communication of critical reporting issues, • Present analysis results clearly, • Assist in testing of new Judi functionality to ensure enhancements are functioning as expected and accurately processing claims transactions, • Build key cross-functional relationships with other internal teams, • Provide virtual and in person product demonstrations, • Note: Role may periodically require meeting participation, service support or other requirements outside of standard business hours Minimum Qualifications: • Bachelor's degree, with record of strong academic performance in Computer Science, Actuarial Science, Statistics, or Economics or equivalent work experience strongly preferred, • 2+ years of proven experience in data analytics and reporting required, • 2+ years of experience in Structured Query Language (SQL) required, • 2+ years of experience with ETL or ELT preferred, • 2+ years of PBM, pharmacy, health plan, or related experience preferred, • 1+ years working with JSON or other data-exchange format tools preferred, • 1+ year of Python, R, or similar programming experience preferred, • Experience presenting analysis to clients and/or management preferred, • Proficient in Microsoft Excel, • Extremely organized, detail-oriented, and able to easily pivot priorities, • Ability to work effectively with virtual teams, • Ability to travel 5-10% This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$80,800—$101,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 3+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$120,000—$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 5+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$140,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Job Title: AWS Data Engineer Duration: 7 months (Possibility of extension) Location: Hybrid (Newark, NJ) Job Summary: We are seeking an experienced AWS Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Key Responsibilities: • Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS., • Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.)., • Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture., • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions., • Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses., • Develop and enforce standards for data quality, security, and governance., • Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team., • Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy., • Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption., • Troubleshoot complex data issues and provide technical leadership in problem resolution. Required Qualifications:, • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role., • Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.)., • Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus., • Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS., • Proven experience with ETL/ELT processes, data modeling, and big data frameworks., • Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment., • Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform)., • Excellent problem-solving, communication, and organizational skills. Preferred Qualifications:, • AWS Solutions Architect or AWS Data Engineer certification., • Experience with real-time streaming technologies., • Knowledge of data governance, compliance, and security best practices., • Familiarity with Lakehouse architecture and modern data platforms.

Solid understanding of ELT/ETL concepts and data architecture best practices across cloud and hybrid systems. Participate in code reviews, architecture discussions, and DevOps best practices with the data engineering and software development teams. The Boston Red Sox are seeking a Senior Data Engine

As we roll out our new Customer Service Agent Experience (CCO) pillar and modern CCaaS stack, we’re hiring a Data Product Manager within the Enterprise Data pillar to lead the data products that power world‑class customer support. Experience with data warehousing, data lakes, ELT processes, and

Company Overview: At Wayvia, we help the world’s top brands stay ahead—using AI, data, and innovation to shape the future of commerce. Whether you’re charting a new path or leveling up your journey, Wayvia is where your career can go further. We’d love to meet you. We help global brands connect with their shoppers in ways that are relevant, respectful, and real. And we do the same for each other—with trust, transparency, and the human connection that makes great work possible. At Wayvia, you’ll find a team that’s curious, collaborative, and always up for solving what’s next. We move fast, think boldly, and support one another in building something that matters—for our clients, for shoppers, and for each other. Job Brief: The Data Engineer III will lead the development and maintenance of our data infrastructure and tools, ensuring data integrity and availability while driving the strategic direction of data initiatives. Essential Functions & Responsibilities: • Lead the design, development, testing, deployment, maintenance, and improvement of advanced data engineering solutions and pipelines., • Prioritize, manage, and deliver multiple high-impact projects., • Establish data quality standards — automated tests, anomaly detection, and freshness SLAs, • Write and maintain dbt models, tests, and documentation to ensure data quality and consistency, • Identify infrastructure improvements to reduce cost, improve reliability, and eliminate single points of failure, • Build and govern canonical dbt models in Snowflake using dimensional modeling principles, ensuring consistent metric definitions and entity relationships across Looker and the MCP server for both BI and AI consumers, • Own dbt model governance — standardize modeling patterns, enforce testing and documentation requirements, and manage the project structure across domains, • Define and maintain a consistent semantic layer — metric definitions, business logic, and entity relationships — ensuring alignment across BI tools, the MCP server, and AI consumers regardless of the tooling layer, • Support Snowflake administration/Looker administration alongside other data platform team members Minimum Qualifications: • BS degree in Computer Science or related field or equivalent practical experience., • 5+ years of data engineering experience, with a track record of designing, building, and maintaining ELT pipelines and dimensional data models in production environments, • Expertise in processing and integrating large-scale data from multiple sources., • Advanced SQL query skills with complex joins and common-table expressions., • Strong hands-on Snowflake experience (prior admin experience a plus, but not required), • Proficiency with dbt — production-grade model development, testing, documentation, and project governance, • Proficient coding skills in Python, Java, or similar languages., • Proficiency in Git-based version control and CI/CD pipelines for data infrastructure, • Familiarity with workflow orchestration tools or Data Orchestration Platform — (Airflow/Perfect/Dagster, etc), • Strong sense of data ownership — you treat data as a product and hold a high bar for quality and reliability Preferred Qualifications: • Experience with data observability and lineage tools, • Knowledge of AI/ML, • Experience building or contributing to a semantic layer or canonical data model, with emphasis on consistent metric and entity definitions across consumers, • Experience with Looker development or administration, • Background in e-commerce, retail analytics, or SaaS data platforms Benefits: Wayvia encourages a healthy work-life balance and commitment to employee wellbeing. We are consistently evaluating areas to support and foster a community of engaged employees. Wayvia is an international employer so some benefits offering will vary from country to country, however, below you can see employer sponsored contributions: • Flexible work-from-home arrangements, • 401K Match, • Flexible vacation, • Medical/Dental/Vision, • 16 weeks of paid parental leave (US), • Technical stipend, • Professional development programs, • Wellness programs Location: This is a remote position open to candidates based in the United States. Compensation: The salary for this role is $130,000-160,000. Please note that our salary ranges are based on current market data and the offered compensation may vary based on experience, skills, location, and other factors permitted by law. Wayvia is an equal opportunity employer that is committed to inclusion and diversity.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. ___, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team: Torc’s Data Production team is a core enabler of our AV3.0 strategy. The team builds and operates the high‑scale data pipelines that transform raw multimodal sensor logs into structured, training‑ready datasets for machine learning, simulation, autonomy development, analytics, and system validation. We collaborate across vehicle integration, data collection, data systems, perception, ML, and release engineering to operationalize the full data loop that powers Torc’s autonomous‑driving stack. What You’ll Do: • Design and develop high‑performance data converters for multi‑sensor autonomous‑driving data (camera, lidar, radar), ensuring accurate time alignment and robust handling of raw sensor logs., • Design, build, and optimize large‑scale ingestion and transformation pipelines (ETL/ELT) capable of processing petabyte‑scale autonomous‑driving sensor data, and automate them for reliable, production‑grade deployment., • Work with data formats such as ROS bags, MCAP, and custom binary encodings; establish standards for schema evolution and metadata integrity., • Implement automated data validation, quality checks, and lineage tracking to ensure reliability of production datasets., • Collaborate closely with ML, annotation, simulation, and perception teams to ensure cross‑team ownership of data products and deliver datasets that are consistent, semantically correct, and ready for downstream consumption., • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. What You’ll Need to Succeed: • Bachelor's or Master's degree in STEM related field with 5+ years of working experience with cloud technologies & data operations., • Experience building or maintaining converters, decoders, or transformation pipelines for sensor‑rich data (e.g., lidar point clouds, camera streams, radar detections)., • Understanding of multimodal data synchronization, timestamp alignment, and multi‑sensor calibration workflows., • Experience with distributed compute frameworks (Ray, Spark, Beam) and cloud‑based platforms like Anyscale and Databricks for large‑scale data‑pipeline execution., • Experience with high‑performance computing techniques, including vectorized data processing (NumPy), multithreaded or parallel execution, and GPU‑accelerated compute for optimizing large‑scale sensor‑data workloads., • Proficiency in Python, SQL, Shell Scripting., • Experience with major cloud providers like AWS, Google Cloud Platform (GCP) or Azure., • Operates with broad autonomy, leading complex technical work and driving alignment across team boundaries., • Owns key data‑pipeline and converter solutions end‑to‑end, setting direction and building consensus., • Provides project leadership and mentors less‑experienced engineers to ensure high‑quality execution. Bonus Points! • Working experience with design patterns & frameworks development for ML & operational data pipelines in the cloud, • Familiarity with 3D labeling and CV annotation workflows., • Experience optimizing I/O‑heavy workloads, including columnar formats (Parquet, Arrow)., • Knowledge of orchestration tools (Airflow, Argo, Prefect)., • Hands‑on experience designing CI/CD automation for data services, including GitHub Actions, Databricks pipelines, and cloud‑native deployment workflows, • Background in Agile Engineering Practices. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits Job ID: R-102555 Hiring Range for Job Opening US Pay Range $160,800 - $193,000 USD

Databricks (PySpark) and Python. Current knowledge of an using modern data tools like (Databricks,FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes.

Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Team We safeguard Okta from threats and vulnerabilities that could disrupt our business or erode our customers’ trust. The Defensive Cyber Engineering organization is responsible for the Security Data Platform, infrastructure, and tooling that enable Okta’s Detection and Response capabilities. The team also manages enterprise security tools and infrastructure that support XDR, DLP, and SSPM capabilities. The Role We are expanding this team to support Okta’s Public Sector roadmap by hiring a Staff Software Engineer in the DC area. You’ll work closely with Security, Business Technology Engineering, and Product teams to implement and manage security solutions, ensuring our core infrastructure applications protect our workforce, endpoints, and corporate data. To deliver on this vision, you will build data and infrastructure platforms by leveraging your software, data, and security engineering skills. You’ll use automation, policy-as-code, and cloud-native technologies to deliver scalable, resilient, and secure solutions. What you bring: • 8+ years of strong coding and scripting experience, with a focus on building automation and custom tooling for infrastructure and data pipelines. Experience with Python is required; proficiency in other languages (e.g., Bash, PowerShell, Go) is a plus., • Experience developing and maintaining ETL/ELT pipelines for onboarding security data into Okta’s security data lake., • Experience working with security teams to integrate log sources and ensure seamless data ingestion., • Ability to build and maintain scalable, fault-tolerant data pipelines to process security event data., • Proven track record of automating security controls and workflows using a cloud-first approach., • Experience with Terraform and other infrastructure-as-code tools to orchestrate security infrastructure., • Familiarity with CI/CD pipelines for security automation and drift management., • Strong communication skills, with the ability to collaborate with technical staff, support teams, executive leadership, and external vendors., • 2+ years of experience building engineering solutions within highly regulated environments such as FedRAMP High, IL4, IL5, and/or IL6 is a plus., • Current or previous Secret, Top Secret (TS), or Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is a plus. What you’ll be doing • Serve as a security subject matter expert (SME) for solution engineering and architecture reviews, preferably in the Detection and Response and/or enterprise security tooling space., • Lead technical efforts to evaluate, design, and implement new enterprise security systems and feature enhancements., • Build, maintain, and enhance custom automation and cloud infrastructure using Terraform or similar tools to support team workflows and enforce security controls., • Develop integrations with APIs, cloud platforms (AWS, GCP, Azure), and security infrastructure to improve detection, response, and remediation., • Write and maintain scripts and automations, with an emphasis on Python-based solutions, to streamline security operations., • Establish monitoring and alerting for security posture, misconfigurations, and threats across endpoints, SaaS, and cloud workloads., • Proactively identify and remediate security gaps; stay updated on emerging threats, solutions, and tooling across the industry. And extra credit if you have experience in any of the following! • Advanced identity management technologies (MFA, SAML, OAuth, OIDC, WebAuthn), • Deep understanding of Okta's ecosystem, including advanced configuration and integrations, • Experience with continuous compliance solutions (e.g., policy-as-code, automated evidence gathering) Additional requirements: • This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. #LI-REMOTE #LI-SH1 P24527_3348076 Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit:___. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$161,000—$221,000 USD What you can look forward to as a Full-Time Okta employee! • Amazing ___, • Making ___, • Developing ___ Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta______. Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this___ to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please ___ to view our full NYC AEDT Notice. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at ___

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We’re not your traditional tech company and we don’t aim to be. Going against the grain is in our DNA. Building a revolutionary product begins with revolutionary thinking. That’s why we value diversity of background and lived experience. Together, we empower restaurants of all sizes to build great teams, increase revenue, improve operations, and delight their guests. We pair our deep understanding of the restaurant industry with powerful cloud based software and restaurant-grade hardware to deliver an intuitive all-in-one platform. Join us on our mission to empower the restaurant community to delight guests, do what they love, and thrive. Fintech at Toast operates one of the most critical portions of the Toast infrastructure: processing payments on behalf of our restaurants and ensuring that restaurants are paid in a timely manner. Payment processing is a key source of Toast’s revenue and also the lifeblood of our customers; we process millions of dollars in transactions per day. We are seeking a Senior Software Engineer to join our Payments team to build out our unified payment processing solution. This platform offers a single, integrated service for payment acceptance across various channels and supports a configurable enterprise approach. It is designed to allow a build-once, available-to-all strategy for both existing and emerging payment methods. The successful candidate will contribute to the development of services providing supporting and core functionality within and around this payment processing solution. A day in the life (Responsibilities) • Design, build, and deliver features for Toast’s payments products, • Develop and implement automated test suite to ensure the code shipped to our customers meets the highest quality standards, • Roll* features out to customers, including monitoring for success, • Collaborate with our PM (and UX) on the definition and design of features, • Partner with a wide array of teams across Toast, • Work with experienced engineers to deliver design and code review What you'll need to thrive (Requirements) • 5+ years of experience in designing and implementing robust backend services, • Proven ability to develop scalable and secure APIs that integrate with various internal/external systems, • Knowledge of best practices in API lifecycle management, including versioning, documentation, and deprecation strategies, • Demonstrated experience with microservices architecture and containerization technologies for enhanced scalability and maintainability Preferred qualifications (Nice to Haves) • Demonstrated proficiency with DynamoDB or PostgreSQL, • Proficiency in Kotlin (or Java and willing to learn Kotlin) and Kotlin-specific frameworks and libraries for building efficient backend solutions, • Experience with modern data architectures (event sourcing, OLAP, ETL/ELT, streaming data), • Experience designing payments APIs, • Familiarity with PCI-DSS AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at ___. The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range$138,000—$221,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: ___. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact ___. For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About the Role MGT is hiring a Senior AI Developer to join our AI Operating Group (AI OG). The AI OG is responsible for both internal AI tool development and client-facing AI solution delivery, primarily serving the state and local government market. This is a deeply technical, hands-on role. You will build the AI systems that power our client engagements and internal product suite — not prototype them, not advise on them. You will own the code, the architecture, and the output. The right person for this role has real AI development experience, is fluent in the Microsoft Azure ecosystem, and takes pride in shipping things that actually work in production. This is not a consulting role, but you will work closely with client-facing teams. You should be comfortable translating ambiguous business requirements into clean technical solutions, and working across a team where not everyone speaks your language. What You'll Do • Build and maintain production-grade AI solutions including RAG pipelines, agentic workflows, and multi-agent systems, • Develop on the Microsoft Azure AI stack, including Azure OpenAI Service, Azure AI Foundry, and related services, • Architect and implement data pipelines and integration patterns that connect AI capabilities to client systems and data sources, • Work with tool-layer integration standards such as MCP (Model Context Protocol) to connect agents with enterprise systems, • Develop reusable components, skills, templates, and accelerators that scale across multiple engagements, • Collaborate with AI Solutions Architects and project leads to translate solution designs into working builds, • Contribute to and help set technical standards for the AI OG's code-first development practices, • Support internal product development across MGT's AI tool suiteRequired Qualifications, • 5+ years of professional software development experience, with at least 2 years focused on AI or machine learning applications, • Hands-on experience building with LLMs, including RAG architectures, agentic design patterns, prompt engineering, or vector databases, • Demonstrated Azure experience, including Azure OpenAI Service or Azure AI Foundry, • Strong Python development skills, • Ability to independently scope and deliver technical solutions with minimal oversight, • A builder mentality: you would rather figure it out and ship it than wait for a detailed specificationPreferred Qualifications, • Experience with Microsoft Copilot Studio or Power Platform, • Background in data architecture, ETL/ELT pipelines, or analytics platforms, • Experience with frameworks such as LangChain or LangGraph, • Prior work in consulting, professional services, or client-facing technical delivery, • Bachelor's degree in Computer Science, Engineering, or equivalent practical experienceWhat Success Looks Like, • Within 30 days: You understand our current tool suite, architecture patterns, and active client engagements. You have shipped something., • Within 90 days: You are independently owning technical builds on client projects and contributing to internal product development. Positions are available in Salt Lake City, Utah; Washington, D.C.; and remote. Remote employees will be expected to travel to an office periodically.

Join us in reshaping manufacturing with advanced tech like computer vision and AI! As a Senior/Staff Full Stack Engineer (m/f/d), you’ll focus on backend strategy and design, driving near real-time processing and proposing key architectural changes. Your work will be 70% backend—developing features, APIs, and optimizing databases—and 30% frontend, ensuring efficiency improvements. You’ll also tackle infrastructure challenges, working across cloud and edge environments to enhance performance. This is a key role in evolving our system to better serve customers with smart, efficient solutions. * Lead the development of new features, working on both backend (70%) and frontend (30%) to ensure smooth integration with customer applications and services. * Oversee the deployment of solutions in both cloud and edge environments, providing the blueprint for hardware setup, debugging, and ensuring the system is functioning effectively. * Ensure data quality and maintain operational pipelines, responding to issues related to data consistency and extraction in collaboration with other teams. * Draft and implement the backend strategy, with a focus on moving towards real-time processing and optimizing the architectural design, databases, and interfaces. * Take ownership of database consistency and quality, perform first-step analysis on customer data issues, and delegate problems to the relevant team members as needed. * 5+ years experience as a full-stack engineer building web applications from scratch. * Experience developing Python-based back-end applications (we work with Django). * Experience with Frontend Frameworks (we use React). * Experience with orchestration tools (Kubernetes, Terraform, Ansible) * Experience designing, implementing, and interacting with REST APIs * Experience with SQL databases (such as PostgreSQL, MySQL, SQLite) * Experience with relational and analytical/time series databases (Postgres, AWS Redshift, Clickhouse). * You have experience with a Cloud-based application environment (AWS preferred). * Fluency in English (German not required). * Linux management/debugging experience * Data processing concepts (ETL, ELT) * Industry/freelance experience developing web applications for data processing and visualization * You understand and advocate for sound engineering practices, including agile methodology, code review, version control, clean and maintainable code, and CI/CD. * Entrepreneurial mindset, hands-on mentality, resilience, and a passion for solving significant challenges using elegant solutions. * An interest in AI, computer vision, and deep learning. * A competitive salary & stock options * Work remotely from anywhere in Europe * The option to work in a brand new office situated on the AI Campus in Berlin where we closely cooperate with other exciting AI ventures * Be on the forefront in defining what artificial intelligence means in manufacturing * Gain hands-on experience in working in an AI-first software company * Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company * Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact * Network with professionals and leaders in the field, opening doors to potential future career opportunities * We have a very flat hierarchy, open 360° feedback, and flexible working hours * Ethics⚖: We are committed to developing ethical AI software Deltia is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.

Siri InfoSolutions, Inc. is a private equity consortium firm providing IT staffing services to Fortune 500 clients across the US. We believe that it’s an exceptional company - a company of people proud of the work they do and the solutions they provide. By understanding what drives our specialty industries, becoming involved in our communities on a professional and personal basis, following a disciplined process of identifying quality candidates, partnering with employers to understand their core business and their employment requirements, and delivering exceptional service, we achieve great results for all concerned. Must have skills: MUST HAVE proven expertise in CA TDM CA TDM is very specific **Delphix is a huge plus but no mandatory Test Data Management • 8 to 15 years of experience in Test Data Management using tools such as Broadcom CA TDM, Delphix, Informatica TDM, Javelin, and GenRocket., • Strong hands-on expertise with Broadcom TDM components including TDM Portal (project creation, data modeling, masking, generation, self-service), Fast Data Masker, Data Maker, Data Subsetting, and Javelin workflow design., • Proven experience with the Delphix platform for data virtualization, self-service portal configuration, data cloning, and automation through REST APIs., • Skilled in designing and implementing enterprise-level TDM strategies aligned with organizational goals, including data provisioning, masking, synthetic data generation, and compliance with data privacy regulations (e.g., GDPR, HIPAA)., • Deep understanding of relational and non-relational databases (Oracle, SQL Server, MySQL, Teradata, MongoDB, cloud storage) and ability to handle both structured and unstructured data sources., • Experience integrating TDM solutions within Agile and DevOps frameworks, including automation, CI/CD pipelines, and data pipelines., • Ability to manage end-to-end test data lifecycle from request intake to delivery and restoration, ensuring scalability, security, and operational efficiency., • Strong analytical skills to assess business needs, architect scalable data management solutions, and continuously improve TDM processes., • Familiarity with data quality, ETL/ELT processes, data profiling, and containerization technologies (e.g., Docker) is a plus. Masters All your information will be kept confidential according to EEO guidelines.

Job Description Job Title: Data Architect (Remote) About the Role Our client is seeking a mid-level Data Architect with 3–7 years of experience to join our growing insurtech team. In this role, you will design, optimize, and maintain data architectures that power key insurance products, analytics, and operations. You'll collaborate with cross-functional teams to ensure data is reliable, scalable, secure, and aligned with business needs in a fast-evolving insurance technology environment. Key Responsibilities • Design, document, and maintain scalable data models, data pipelines, and storage solutions for insurance products and analytics., • Architect and optimize cloud-based data platforms (e.g., AWS, Azure, GCP) for performance, cost efficiency, and security., • Collaborate with engineering, product, actuarial, underwriting, and data science teams to understand data requirements., • Implement data governance, data quality, and metadata management practices., • Define and enforce data architecture standards, patterns, and best practices., • Support integration of third-party data sources, including telematics, claims data, customer data, and policy data., • Perform root cause analysis and troubleshoot complex data issues., • Partner with security teams to ensure compliance with industry regulations (e.g., HIPAA, SOC 2, state insurance requirements)., • Evaluate new technologies, tools, and frameworks that can improve data capabilities., • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field., • 3–7 years of experience in data architecture, data engineering, or a similar role., • Strong experience with cloud data platforms (AWS, Azure, or GCP)., • Proficiency in data modeling (conceptual, logical, physical) and database design for relational and NoSQL systems., • Hands-on experience with ETL/ELT pipelines, data orchestration tools (e.g. Airflow, dbt), and data warehousing., • Strong SQL skills and familiarity with distributed computing frameworks (e.g., Spark)., • Experience designing data solutions for analytics, reporting, and machine learning workflows., • Understanding of data security, privacy, and governance best practices., • Experience in the insurance or insurtech industry (claims, underwriting, actuarial, policy lifecycle, regulatory reporting)., • Familiarity with insurance-specific data standards (e.g., ACORD)., • Experience with data cataloging tools (e.g., Collibra, Alation)., • Exposure to event-driven architecture (Kafka, Kinesis, or similar)., • Strong problem-solving and analytical abilities., • Ability to work independently in a fully remote environment., • Collaborative mindset with the ability to translate business needs into technical solutions., • Detail-oriented approach with a focus on data quality and reliability.

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., • 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 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 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 Fluxx is looking for a strategic, systems-thinking Senior Product Manager, OneFluxx to own and evolve the internal operating system that powers how we work. As the Senior Product Manager for OneFluxx, you'll own the vision, strategy, and execution of the platform that unifies data across every enterprise tool we use and turns it into actionable insight. You'll treat internal stakeholders and employee-submitted proposals like customers — understanding their needs, prioritizing with clear business cases, and shipping pragmatic solutions that increase company velocity, output per employee, and quality of execution. You'll partner directly with VPs and C-level leaders to align on the roadmap for the highest-ROI investments, and lead build-vs.-buy decisions, and own data security, privacy, and access controls. You'll also create the playbooks — including how PMs across Fluxx leverage AI in product design and discovery — that scale how every team operates as we grow. This is a high-ownership, executive-facing role that blends product management, operations strategy, and data leadership. We are looking for people who are curious, tenacious, candid, and have a bias toward action. We welcome diverse perspectives and encourage you to apply if you think you can bring value to our team – even if your experience doesn't perfectly match the job description. This is a full-time, exempt position. Candidates must be located in the United States. About Fluxx: At Fluxx, our mission is to be the leading collaborative grant management platform in our global communities. We build technology that drives positive impact by helping foundations, government agencies, and nonprofits streamline the grantmaking process—making it easier to get funding to the organizations that need it most. Founded by grantmakers, Fluxx was built on the belief that the systems supporting philanthropy should be as thoughtful and strategic as the missions they serve. For more than 15 years, we've helped organizations move away from manual processes and legacy tools to a flexible, AI + data-driven platform that supports the full lifecycle of grantmaking. Today, Fluxx supports a global community of 500+ customers who collectively manage and distribute more than $39B in grants annually. How you will make an impact/What you will do: • Partner across the Executive Leadership Team (ELT) to develop, refine, and communicate the vision for OneFluxx across the company and our customer community., • Own product strategy, roadmap, and execution for OneFluxx, maintaining a holistic view of how systems, teams, and data connect across the company., • Serve as the internal "data head" — mapping, connecting, and rationalizing data sources across departments so leadership and teams can make faster, evidence-based decisions., • Run a transparent intake and prioritization process for employee-submitted proposals, evaluating every initiative through a clear business case and build-vs.-buy lens (cost, speed-to-value, security, compliance)., • Partner with InfoSec and Legal to design and enforce data-access, privacy, and governance controls that meet enterprise-grade standards., • Lead rollout and change management for new systems and workflows — driving high adoption through clear communication, documentation, and stakeholder enablement., • 8+ years in product management, operations, or a related data/systems role within a technology or SaaS environment, with a track record of owning and shipping end-to-end products that drive adoption — not just delivery., • Demonstrated experience consolidating disparate enterprise tools and data sources into unified platforms, dashboards, or internal operating systems used across multiple functions., • Strong business-case and prioritization skills — you can quantify impact, evaluate competing requests, and communicate trade-offs to executives, while operating just as comfortably at the tactical level (writing acceptance criteria, defining success metrics)., • Working knowledge of data architecture, APIs, integrations, and modern analytics/BI tooling, plus a deep understanding of the security, privacy, and access-control principles that come with enterprise data environments., • Highly relational systems thinker who builds trust across levels of the org, surfaces what's real (not just what's visible), and designs scalable solutions to ambiguous, cross-functional problems. Fluxx is committed to fair, transparent, and equitable compensation practices. We use a market based approach that considers cost of labor by geographic region, along with company size and industry benchmarks. This role is categorized into three compensation zones based on location. Fluxx is currently seeking candidates located in all U.S.-based geographies for this role. Benefits: Fluxx offers the following benefits for the position subject to applicable eligibility requirements: Medical, dental, and vision insurance; Flexible time off; Paid sick leave; 12 weeks of fully-paid parental leave; Annual learning and development stipend; Internet stipend; One-time home office set-up stipend; 401(k) retirement plan with company match. This position is also eligible for incentive stock options, subject to the terms of Fluxx's applicable stock plans. More About Fluxx: We are a people-first and inclusive workplace committed to continuous learning. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

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 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 Data Engineer | Early Hire Location: New York, NY (Hybrid) Salary: $150-300k Headquartered in New York, we are a booming healthtech software start-up building an AInative physical care platform, starting with home health, to remove the massive administrative waste that drags down US healthcare. Our AI automates backoffice work, letting us serve patients who currently go untreated while operating with meaningfully higher margins than traditional providers. We’ve brought together top AI talent (from leading tech and quantitative firms) and experienced healthcare operators to deliver care at the speed and scale of an AI company. Due to growth and demand for our product, we are urgently looking for Data Engineers to join the team! What You'll Do • Design, build, and maintain endtoend ETL/ELT pipelines that move data from source systems all the way through to analyticsready models., • Own and evolve our modern data stack—including tools like Airflow, dbt, and Snowflake—with a focus on reliability, observability, and costefficiency., • Architect and maintain data platform and infrastructure components (orchestration, environments, CI/CD, monitoring) to keep everything running smoothly in production., • Proven experience as a Data Engineer owning endtoend data pipelines and platforms, rather than primarily analytics or BI/reporting work., • Strong SQL skills and proficiency in Python (or a similar language) for building and maintaining production data workflows., • Handson experience with Airflow (or similar orchestrators), dbt, and Snowflake (or equivalent cloud data warehouses)., • A track record of building and operating productiongrade data infrastructure in highgrowth environments (e.g., fastscaling startups or similarly dynamic settings)., • Clear signals of excellence and high trajectory—such as toptier academic background, impactful work at highgrowth companies, or rapid scope increases over your career., • A thoughtful approach to data modeling (e.g., dimensional/Star schemas) and working with semistructured data (JSON, APIs, event streams)., • Familiarity or interest in healthcare data (claims, clinical data, HL7/FHIR, EHR data) and its nuances., • Competitive base salary ($150-300k DOE), • Equity, • Comprehensive benefits package (Medical, Dental, Vision), • Flexible hybrid schedule, • Real ownership in a high-growth and cutting-edge environment, • High exposure, working closely with leadership, • Opportunity for growth: fast-track path to a strategic decision-making role for interested candidates, • Fun, professional, and innovative company culture

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 DescriptionData Engineer Healthcare AI Platform | Data Infrastructure | New York Hybrid About the Company We are representing a high-growth AI startup building infrastructure to automate complex administrative workflows in healthcare. The company is creating an AI-native platform that integrates with provider systems and helps automate areas such as insurance verification, prior authorization, billing, intake, revenue cycle operations, and clinical workflow support. This is a rare opportunity for a data engineer to build core data infrastructure from the ground up in a complex, high-impact domain where clean data, reliable pipelines, and operational visibility directly shape product and business decisions. The Role We are looking for a Data Engineer to build the data infrastructure powering analytics, business intelligence, operational monitoring, and AI-driven decision-making across a healthcare automation platform. You will design and maintain data pipelines, integrate fragmented healthcare and operational data sources, model complex workflows into clean data structures, and create the analytics foundation that helps the company measure, monitor, and optimize its systems. This role is ideal for someone who enjoys owning the full data stack: ingestion, transformation, modeling, analytics, alerting, and infrastructure decisions. Over time, you will have the opportunity to take end-to-end ownership of the data platform and shape the technical direction of the company's data architecture. What You'll Do Design, build, and maintain reliable data pipelines across internal systems, third-party APIs, and healthcare data sources. Integrate complex data sources such as operational systems, healthcare records, billing workflows, claims-related data, and external feeds. Build clean, scalable data models for revenue cycle workflows, intake operations, clinical processes, and business reporting. Develop analytics-ready schemas that support dashboards, reporting, monitoring, and operational decision-making. Build dashboards, alerts, and analytical tools to identify automation opportunities and operational bottlenecks. Support product, engineering, operations, and leadership teams with high-quality data infrastructure. Contribute to the technical direction of the business intelligence and data platform. Improve data quality, reliability, observability, and performance across the stack. Help create the foundation for AI/ML-driven workflows, analytics, and automation. What We're Looking For 3+ years of experience building and maintaining production data pipelines, warehouses, and analytics infrastructure. Strong SQL skills. Experience with at least one modern data warehouse or lakehouse such as Databricks, Redshift, Snowflake, BigQuery, or similar. Experience with relational databases such as Postgres or MySQL. Experience building ETL or ELT pipelines using tools such as Airflow, dbt, Dagster, or similar orchestration frameworks. Comfort working across the full data lifecycle, from raw ingestion through analytics-ready models. Ability to model complex operational domains into clean, queryable schemas. Comfort with exploratory analysis, statistical thinking, and analytical problem-solving. Experience using Python or R for data analysis. Strong communication skills and ability to explain technical data concepts to non-technical stakeholders. Ability to partner effectively with product, engineering, and operational teams. High ownership, detail orientation, and comfort operating in a fast-paced startup environment. Nice to Have Experience in healthcare technology or healthcare operations. Familiarity with healthcare data standards or data types such as EDI, HL7, FHIR, claims data, clinical documentation, or provider workflows. Experience with real-time or streaming data pipelines. Background in data science, machine learning, or feature engineering for AI/ML systems. Exposure to BI tools such as Hex, Sigma, or similar. Experience working in a high-growth startup or scale-up environment. Familiarity with cloud infrastructure and tooling such as AWS, Terraform, or similar. Why This Role Is Exciting You will build foundational data infrastructure rather than simply maintain legacy systems. Your work will directly shape how an AI healthcare platform measures and improves operations. You will work with complex, messy, high-value healthcare data. You will partner closely with product, engineering, and operations rather than sit in a silo. You will have the opportunity to define the long-term data architecture for a fast-scaling platform. You will help create analytics and automation systems that reduce administrative waste in healthcare. Work Model Full-time role. Hybrid in New York, with regular in-office collaboration expected. Visa sponsorship is not available for this position.

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job DescriptionCompany Description Expert Institute is the #1 technology platform connecting litigation attorneys with expert witnesses. We operate in a multi-billion-dollar market with massive untapped potential (~2% market share today). With thousands of law firm clients nationwide and 1M+ experts on our platform, we're scaling quickly—and looking for elite engineering talent to help architect the next phase of growth. Job Description We're looking for a Staff Software Engineer to serve as a technical leader and architect for the products powering our two-sided marketplace. You'll set the technical direction for critical systems, drive architectural decisions that shape our platform for years to come, and mentor engineers across the organization. From designing AI-powered document processing pipelines to architecting the data infrastructure behind our case-matching intelligence, you'll operate at the intersection of deep technical craft and high-leverage business impact. This role is for a seasoned engineer who has already done the "senior engineer" job well and is ready to expand their scope—influencing systems, teams, and the technical strategy of the company. You'll partner directly with engineering leadership, Product, and Design to translate ambitious business goals into resilient, scalable technical realities. What You'll Do * Architect and lead the design of complex, distributed systems that power our marketplace at scale, including our AI/ML infrastructure, search and matching services, and data platform * Drive technical strategy across multiple teams and services—setting standards for reliability, performance, security, and developer experience * Own our AWS cloud infrastructure end-to-end: VPC design, compute (ECS/EKS/Lambda), data stores (RDS, DynamoDB, S3), networking, IAM, observability, and cost optimization * Design and evolve our data platform—including data modeling, ETL/ELT pipelines, warehousing (e.g., Redshift/Snowflake), streaming architectures, and the data foundations that power analytics and ML * Lead the technical design of AI-powered features, including LLM-backed document processing, embeddings/vector search for expert matching, RAG pipelines, and evaluation frameworks * Establish engineering excellence: define coding standards, CI/CD practices, testing strategies, incident response processes, and operational maturity across the org * Mentor engineers at all levels—through code review, design review, pairing, and career coaching—raising the bar for the entire team * Partner with leadership on technical roadmap, hiring, org design, and build-vs-buy decisions * Own critical production systems including on-call rotation leadership, SLO definition, and driving postmortems that translate incidents into lasting improvements * Identify and resolve systemic performance, scalability, and reliability bottlenecks before they become customer-facing problems Qualifications We're looking for candidates who are: * Seasoned technical leaders who thrive in ambiguity and can turn vague goals into concrete architectures * Deeply curious about AI/ML and actively shipping production systems using modern techniques (LLMs, embeddings, vector DBs, agentic workflows) * Strong generalists with depth in distributed systems, cloud infrastructure, and data engineering * Expert-level in Node.js, TypeScript, and PostgreSQL, with working fluency across additional languages and datastores * Force multipliers who make the engineers around them better Additional Information The right candidates have: * 8+ years of professional engineering experience, with at least 2+ years operating at a Staff or equivalent level of scope and influence * Deep AWS expertise—you've designed, built, and operated production workloads across compute, storage, networking, and managed services; you understand the trade-offs between ECS vs. EKS vs. Lambda, when to reach for Aurora vs. DynamoDB, and how to keep a cloud bill sane as you scale * Infrastructure-as-code fluency with Terraform, CDK, or Pulumi, and a strong grasp of CI/CD, containerization (Docker), and modern deployment practices * Data engineering chops: you've designed production data models, built reliable pipelines (Airflow, dbt, Kafka, or equivalent), and shipped warehouse-backed analytics or ML features * Architectural range: you can zoom from individual service design up to multi-system architecture, and you have strong opinions—loosely held—about microservices vs. monoliths, event-driven design, API design, and data consistency models * AI/ML production experience: you've shipped features backed by LLMs, embedding models, or traditional ML, and you understand the infrastructure, evaluation, and cost considerations that come with them * Outstanding communication skills—you can write a crisp RFC, run a productive design review, explain a complex system to a non-technical stakeholder, and give feedback that actually changes behavior * A track record of mentorship and elevating the engineers around you * Strong product intuition—you push back on bad specs, you understand why we're building what we're building, and you use that context to make better technical decisions * A bias to action balanced with the judgment to know when to slow down and design carefully * Deep interest in our product, our customers, and the legal industry's transformation through technology All your information will be kept confidential according to EEO guidelines.

Job Description Role: Lead AI & Analytics Engineer US Remote • Experience: 6–9 years, • AI experience is a must (agentic AI, LangChain, RAG, chatbots, etc.) and should clearly demonstrate hands-on projects or at least 1–2 years of direct experience in the domain This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively. Responsibilities • Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sources, • Develop and optimize batch and near real-time data processing pipelines for analytics and reporting, • Build and maintain data warehouse and data lake structures to support business intelligence and analytics use cases, • Implement and maintain data models that support efficient querying and reporting, • Improve performance and scalability of data systems through query optimization, indexing, and partitioning strategies, • Implement data quality checks, monitoring, and logging to ensure reliability of data pipelines, • Exposure to AI initiatives and experience building data pipelines supporting AI workflows, • Work with data architects and engineering teams to implement scalable data platform designs, • Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs, • Maintain documentation for data pipelines, data models, and data workflows

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 #hiringmercor

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 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 Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, 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.