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Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: * Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. * Translate business challenges into actionable use cases and scalable data and AI products and services. * Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP. * Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. * Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. What You Will Need: * US Citizenship is required * Bachelor's degree is required. * Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations. * Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. * Strong foundational knowledge and experience in statistics, probability, and experimental design. * Experience applying data governance concepts and techniques to assure greater data quality and reliability. * Hands-on experience with Python, SQL, and modern ML frameworks. * Strong understanding of best practices and techniques to support data and AI products across their entire lifecycle. * Knowledge of generative AI and large language models (LLMs) for enterprise use cases. * The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence. * Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: * Experience with MLOps and CI/CD pipelines for AI/ML deployment. * Demonstrated work experience within the public sector. * Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks. * Advanced Degree (Master’s or Ph.D.) in Data Science, Computer Science, AI, or related field. * Experience with API development and integration for data services. * Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics. The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ___. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact ___. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on leader, responsible for both business development and delivery of AI- and data-driven solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a leadership role for someone who thrives at the intersection of technology, data, and public sector strategy. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through advanced analytics, data strategy, and AI-based solutions. This is a leadership role for someone who thrives at the intersection of technology, data, and industry strategy. Key Responsibilities Include Client Leadership & Delivery • Serve as a trusted advisor to state and local government clients on establishing an AI strategy that encompass both building core AI capabilities, as well as addressing key use cases around organizational priorities (e.g., constituent facing AI-enabled services, mission operations optimiztions, enhanced predictive planning)., • Lead engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes., • Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, and Azure/AWS/GCP. Solution Development & Innovation • Design and lead AI/ML and analytics solutions using best-in-class tools and platforms., • Translate business challenges into actionable use cases and scalable data and AI products and services., • Stay ahead of industry trends and emerging technologies to inform solution development., • Advise and lead the technical design and development of AI/ML and data solutions. Business Development • Drive growth through capture support, proposal development, and strategic pursuits., • Collaborate with partners and directors to expand Guidehouse’s footprint in the state and local government market., • Contribute to thought leadership and represent the firm in industry forums and client discussions. Practice & Team Leadership • Mentor and lead multidisciplinary teams including scientists, engineers, and consultants., • Support recruiting, onboarding, and talent development within the AI & Data practice., • Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: • Bachelor's degree is required, • Minimum SEVEN (7) years of experience of hands-on AI development, engineering, and analytics expertise, • Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations., • Strong understanding of AI/ML technologies, data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and analytics methodologies., • Demonstrated experience supporting the business development lifecycle, such as capture and proposal writing related activities., • Proven track record of leading large-scale AI/ML and data engagements from concept to execution., • Experience with GenAI technologies and trends, with an understanding of how to incorporate into impactful solutions and services., • Demonstrated ability to source and lead the formation and execution of successful partnerships between and across major stakeholders including technology partners and business end-users., • Proven ability to collaborate with audiences with a wide range of technical knowledge and at different levels of an organization, from the C-Suite (CIO, CISO, CDO) to an engineerng and or architectur team., • Ability to influence and motivate a team of data and AI specialists across a variety of functions to establish and deliver capabilities at scale., • Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: • Master’s Degree, • AI/LLM Certifications, • Project Management Professional (PMP), • Hands on experience bringing GenAI solutions to production., • Experience working with state and local clients., • Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ___. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact ___. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on commercial energy providers. This individual will be a hands-on leader, responsible driving business growth through proactive sales efforts as well as for shaping and delivering AI- and data-driven transformations. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through AI & data strategy through implementation of AI-based solutions. This is a leadership role for someone who thrives at the intersection of industry strategy, market growth, and technology. Client Leadership & Engagement • Drive new business opportunities by identifying client needs, shaping proposals, and expanding relationships into strategic partnerships., • Lead client engagements end-to-end from strategy through implementation, ensuring delivery excellence and measurable business outcomes., • Develop and maintain relationships with key clients and stakeholders to grow accounts and influence buying decisions. Solution Development & Innovation • Drive end-to-end solution development leveraging AI and advanced analytics, with a strong emphasis on AI and data strategy, governance, and innovation to deliver scalable, client-centric outcomes., • Stay ahead of industry trends and emerging technologies to inform solution development and position offerings competitively in the market. Team & Practice Leadership • Own business development activities including pipeline generation, proposal development, and strategic pursuits to meet growth targets., • Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants., • Contribute to recruiting, talent development, and thought leadership within the practice. Industry & Domain Expertise • Apply deep knowledge of the energy and utilities industry to shape strategies around DER integration, energy transition, grid modernization, regulatory compliance, and customer experience., • Interpret regulatory and policy changes to identify opportunities for AI and data enablement and create new revenue streams. What You Will Need: • Minimum SEVEN (7) years of experience in AI, data strategy, and analytics consulting, with a proven track record in business development—including client relationship management, opportunity identification, and contribution to revenue growth., • Minimum FIVE (5) years of experience leading data-driven transformation initiatives within the utilities or broader energy sector, with a focus on strategic planning, stakeholder engagement, and change management., • Deep understanding of AI/ML technologies, modern data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and advanced analytics methodologies, with the ability to translate technical capabilities into strategic value propositions during client engagements, • Proven experience across the business development lifecycle—including opportunity identification, capture strategy, and proposal development—while ensuring alignment with technical delivery., • Track record of leading large-scale AI and analytics engagements from concept through execution, while simultaneously expanding client relationships and uncovering new revenue opportunities., • Demonstrated ability to source, structure, and execute strategic partnerships between technology providers and business stakeholders to accelerate both delivery and market expansion., • Ability to engage and influence diverse audiences—from C-suite executives (CIO, CISO, CDO) to technical teams—bridging business objectives with technical solutions., • Skilled at motivating and guiding multi-disciplinary teams of AI and data specialists to deliver at scale while fostering a growth-oriented culture., • Exceptional communication, facilitation, and relationship-building skills that drive trust, collaboration, and commercial success. What Would Be Nice To Have: • Bachelor's degree, • Master’s Degree in Data Engineering, Data Science, Artificial Intelligence, Computer Science, or related technical field, • AI/LLM Certifications, • Project Management Professional (PMP) The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ___. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact ___. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Distinguished Machine Learning Engineer- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelors Degree * At least 7 years of experience in Software Engineering * At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 6+ year of experience deploying machine learning models * Ability to understand deploying Machine Learning models in production environments at scale * Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Data Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 5 years of experience in data architecture Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * 1+ year of experience deploying machine learning models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Customer Trust & Field Security Specialist - Capital One Software (Remote) About the Role: We are seeking an experienced and detail-oriented Senior Manager with horizontal cybersecurity expertise to join our dynamic Customer Trust & Field Security team. This critical role acts as the security expert for our sales and business development efforts, bridging our technical security posture with the questions of prospective customers. You will be responsible for reviewing, interpreting, and responding to customer security-related inquiries, ensuring our responses are accurate, complete, and aligned with our security certifications and documentation. This position is pivotal in establishing and strengthening customer confidence in our cybersecurity, privacy, and compliance programs, influencing product direction and sales strategy to solve real-world security challenges. You will drive transparency, thought leadership, and strategic engagement, ensuring our security posture aligns with industry best practices while enabling business growth. This is an opportunity to be a crucial part of our growth. If you’re a cybersecurity professional who enjoys the challenge of communicating technical concepts in a business context, we’d love to hear from you. Key Responsibilities: * Customer Trust & Transparency: Scale and build upon existing programs like the Customer Trust Center, providing customers with self-service access to relevant security, privacy, and compliance information. * Customer Engagement: Act as a trusted technical and security advisor, engaging customer security teams and IT leaders to align on their cybersecurity & business needs. Serve as the internal subject matter expert on security for the GTM team, supporting sales and account managers in client-facing discussions and presentations. * Industry Thought Leadership: Represent the company externally in security and technology conversations, shaping best practices and positioning our solutions as industry-leading. * Go-to-Market & Sales Acceleration: Bridge the gap between technical value and business outcomes, aligning security messaging with sales and marketing strategies to drive adoption of our products. * Cross-functional Influence & Collaboration: Work closely with the engineering, legal, risk, cyber, and compliance teams to ensure our security responses are accurate and reflect our latest technical and regulatory standing. * RFI/RFP Response: Analyze and respond to cybersecurity sections of RFIs (Requests for Information) and RFPs (Requests for Proposal), providing detailed and precise information about our security controls, policies, and procedures. * Security Documentation: Maintain and update a knowledge base of our security posture, including security policies, certifications (e.g., SOC 2, ISO 27001), and compliance documentation. * Continuous Improvement: Identify trends in customer security inquiries to help improve our documentation and proactive communication strategies. * Third-Party Risk & Due Diligence: Support third-party risk and due diligence processes, helping customers efficiently evaluate our security posture. * Product Roadmap Contribution: Provide insights on emerging cybersecurity trends and customer expectations to contribute to the product roadmap. * Security Sales Playbook Development: Develop and standardize security sales playbooks, equipping sales teams with messaging, objection handling, and case studies, as applicable. Why Join Us: * Impactful Role: Play a critical role in shaping our customer trust strategy, directly influencing business growth and sales success by building trust and demonstrating our commitment to security for our customers. * Collaborative Culture: Partner with diverse teams across the organization, from engineering to sales, in a fast-paced work environment. * Thought Leadership: Represent the company externally and contribute to industry best practices. * Customer-Centric Focus: Be part of a team dedicated to empowering organizations to confidently adopt our solutions. Basic Qualifications: * At least 7 years of progressive experience in a cybersecurity or information security role, with a strong understanding of security frameworks and best practices, and a focus on horizontal expertise across various domains. * At least 4 years in customer-facing roles, acting as a trusted advisor to senior security and IT leaders. * Deep technical understanding of cybersecurity principles, data protection, privacy, and compliance frameworks. Familiarity with common cybersecurity concepts, including access control, encryption, network security, and incident response. * Excellent written and verbal communication skills with the ability to translate complex technical information into clear, concise, and professional responses for both technical and non-technical audiences. * Meticulous and organized, with a proven ability to manage multiple projects and deadlines simultaneously and great attention to detail. * Ability to influence and collaborate effectively with cross-functional teams. Preferred Qualifications: * Experience in developing and implementing scalable Customer Trust programs. * 3+ years experience with Third Party Risk Management programs. * Strong business acumen and the ability to translate complex technical concepts into business value. * Professional certifications such as CISSP, CISM, CIPP/E, or CompTIA Security+ * Experience with cloud services and cloud technologies (e.g., AWS, Microsoft Azure, GCP), cybersecurity technologies, data cloud platforms (e.g., Snowflake, Databricks). At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Manager, Solutions Architecture McLean, VA: $225,400 - $257,200 for Sr. Manager, Solutions Architecture Richmond, VA: $204,900 - $233,800 for Sr. Manager, Solutions Architecture Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Technical Program Management Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? About Capital One - At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper. We’re a bank, but we don’t think like one. We’re always thinking about what’s next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best in class technology. That’s where you come in. About the Team - We are seeking a highly experienced Director of Technical Program Manager to drive the end-to-end execution of complex, high-impact data engineering programs within the Enterprise Data organization. This role requires deep expertise in data platforms like Databricks and Snowflake, where you will be instrumental in integrating and optimizing these technologies. You will take ownership of defining project scopes, developing detailed execution plans, and overseeing delivery, ensuring all technical requirements are met and align perfectly with our business objectives. You will operate as the primary driver, collaborating directly with data engineers, data scientists, and various cross-functional stakeholders to manage risks, resolve technical roadblocks, and champion efficiency in the delivery pipeline. Key Responsibilities: * Define the overarching strategy and roadmap for a portfolio of data engineering programs, ensuring end-to-end execution and successful delivery across platforms like Databricks and Snowflake. * Lead, mentor, and scale the Technical Program Management function within the Enterprise Data team, fostering a culture of accountability, continuous improvement, and technical rigor. * Partner with executive leadership and cross-functional teams (Engineering, Data Science, Product) to align on strategic objectives, define program scope, and secure resources for high-priority initiatives. * Proactively identify, mitigate, and communicate technical risks, dependencies, and challenges that could impact major enterprise data programs, ensuring timely and high-quality outcomes. * Establish and drive standardized program management methodologies and best practices across the Enterprise Data organization to optimize workflows, increase efficiency, and enhance overall team productivity. Our TPM Directors have: * Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle * Exceptional communication and collaboration skills * Excellent problem solving and influencing skills * A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker * Experience as a TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice * Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives * Deep focus on execution, follow-through, accountability, and results * Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. * Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Basic Qualifications: * Bachelor's degree * At least 7 years of experience in technical program management Preferred Qualifications: * 7+ years of experience designing and building data-intensive solutions using distributed computing * 3+ years of experience in building distributed systems & highly available services using cloud computing services - architecture - preferably using AWS * 3+ years experience building highly scalable mobile products & platforms * 3+ years of experience with Agile delivery * 3+ years years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impact * Experience in building systems & solutions within a highly regulated environment * Bachelor's degree in a related technical field (Computer Science, Software Engineering) * MBA or Master’s Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $226,000 - $257,900 for Director, Technical Program Management New York, NY: $246,500 - $281,300 for Director, Technical Program Management Richmond, VA: $205,400 - $234,400 for Director, Technical Program Management San Francisco, CA: $246,500 - $281,300 for Director, Technical Program Management San Jose, CA: $246,500 - $281,300 for Director, Technical Program Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are building a dynamic pipeline of pre-qualified talent to fill critical data engineering roles as our business continues to scale. By providing your information, you are included in our priority pipeline of highly qualified candidates across various specialized Data Engineering opportunities within Fusemachines. This curated list ensures you will be among the very first to receive consideration for future full-time opportunities, giving you a significant advantage and leading to a much shorter evaluation and interview process when a critical role opens. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. RdEDRGP9Ti

Job DescriptionSalary: Position: Senior Power BI/ Azure Associate Location:New York City(Hybrid 3x in office) Employment Type: Contract-to-hire in 6 months The ideal candidate will have extensive experience with Power BI, Azure Data Factory or Synapse Pipelines solutions and eco-system. The Senior Technical person will play a critical role in analyzing business requirements, designing and implementing solutions, and providing insights to drive business decisions. It will also include engaging with Finance & other domain users and owners, and collaborate with the rest of the IT team to deliver business insights leveraging available Analytics tools including Power BI for a global multinational organization. Responsibilities: Data Integration & ETL • Develop and maintain data pipelines using Azure Data Factory (ADF) or Synapse for ingesting, transforming, and loading data from multiple sources., • Design and optimize data models in Azure Synapse Analytics or Azure Databricks to support analytics and reporting., • Work on star schema, data lakehouse structures, and performance tuning for large datasets., • Develop interactive Power BI dashboards and reports that translate complex data into actionable insights., • Build and manage Power BI datasets, measures (DAX), and row-level security (RLS)., • Monitor data workflows for performance and cost efficiency., • Collaborate with cross-functional teams (Data Engineers, Analysts, Business Users)., • Maintain clear technical documentation for pipelines, models, and dashboards. Qualifications Bachelor's degree in IT or related field. • Must be able to work in the US. SoHo Dragon does not provide visa sponsorship., • 6-10 years of hands-on experience in data development and analytics., • Strong expertise in:, • Microsoft Power BI (DAX, Power Query, data modeling, and visualization)., • Azure Synapse Analytics (SQL, dedicated SQL pools, serverless queries)., • Azure Data Factory (pipelines, linked services, dataflows)., • Solid understanding of SQL, data warehousing principles, and ETL concepts., • Experience with Azure Data Lake, Azure Blob Storage, or similar cloud storage systems., • Strong analytical and problem-solving skills., • Ability to work in an agile, fast-paced environment.

Job Description 28Stone is a full service custom solutions firm. We offer a wide range of services - from ‘tip of the spear’ advisory, application design, system architecture to implementation, testing and deployment. We partner with the world’s leading financial institutions to design and build robust financial applications that improve their business performance while reducing system risk, cost and time to market. We develop technology of value: we are proud of our proven track record of delivering quality results and the trust our clients place in us with ongoing, repeat engagements. We celebrate winning the Top 1% Workplace Awards 2023 in the “Best Workplace for Technologists” category and are always seeking to expand our team with positive, open-minded, and motivated individuals who are eager to learn as well as share what they know. Your impact zone • Design and architect end-to-end solution interfacing with MDM systems., • Develop and optimize GraphQL APIs for master data exposure., • Working on Databricks and medallion architecture, • Lead technical team through build-out, testing, and delivery phases., • Ensure cloud best practices on Azure including security, scalability, and performance., • At least 8 years of full-time development experience using Python., • Seasoned expertise in Python with proven architectural experience, • Strong background in Databricks, • Proficient in GraphQL API design, • Skilled in cloud-native development on Microsoft Azure, • Ability to lead architectural design and full delivery of platforms, • Translate business requirements into scalable, secure, maintainable solutions, • Collaborate closely with stakeholders across business and IT, • Mentor and guide development teams, • Solid knowledge of MDM (Master Data Management) principles, • Experience with data integration and governance frameworks Benefits • Medical, dental, and vision insurance, • 401(k), • Flexible Spending Accounts Compensation $100–$110/hour Job Location Hybrid role - 3 days per week onsite at the client office in New York or New Jersey. We are flexible and take an individualized approach with each candidate we meet, so we encourage you to apply even if you do not meet every listed requirement. Only candidates who have the right to work in USA are considered for this position.

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. We operate in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Chicago, or Boston metropolitan areas. Job Description Curinos is hiring a Senior Data Engineer to join our Acquire Product team. This team is building a next generation B2B SaaS application that empowers financial institutions to attract customers aligned to their portfolio strategy across products. You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to deliver data-driven and high-quality software solutions that meet the needs of our clients. Responsibilities: You'll work with product and engineering teams to: • Design, build, and maintain scalable and reliable data pipelines, including ingestion, storage, validation, governance, monitoring, and ELT patterns, • Proactively identify opportunities and implement solutions to optimize pipeline operations and reduce manual work, • Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code, • Maintain and evangelize high standards in software and data engineering best practices (SDLC, testing, scaling, performance), • Work closely with product managers, data scientists, and software engineers to create and prepare datasets from disparate sources to support the development and delivery of cutting-edge ML models and interactive application, • Proactively identify and implement new technologies and improve our reusable tools, • Conduct code reviews and provide feedback, • Participate in agile ceremonies Desired Skills & Expertise: • Advanced proficiency in Python and SQL, • Required experience with Spark, including distributed computing and optimization, • Preferred experience with Databricks (Unity Catalog, Feature Store, Delta Live Tables), • Extensive experience with data pipeline and workflow management tools (e.g., Airflow, Databricks, Glue), • Strong understanding of data engineering best practices (ETL/ELT, monitoring, observability, validations), • Experience with big data, scaling data processing, and distributed computing, • Strong analytical skills—ability to explore, interpret, and transform raw data into structured, high-quality datasets that support business decisions and advanced analytics, • Production support experience, • Minimum 3+ years of professional experience, • Self-discipline and eagerness to learn new skills, tools, and technologies, • Solid verbal and written communication skills Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job DescriptionWe’re hiring a Manager of Data Engineering & Analytics Consulting! Employment type: Full Time/Direct Hire Only (No Agencies)Location: Atlanta GA Metro, Washington DC Metro, Charlotte Metro, NYC, or Richmond, VALocation Type: Hybrid - Home Office/Local Ippon office (1-2 days per week onsite) About Ippon:The Ippon story started in 2002 in Paris, France - cue in the accordion. Our founder and CEO Stéphane Nomis used his unique experience as an international Judo champion to create a culture based on the sports values of ambition and excellence. Our USA Headquarters office is located in Richmond, VA, with additional offices in New York, NY, Washington DC, and Atlanta, GA. We are a technology consulting firm that specializes in helping accelerate our client’s digital roadmap in the areas of Product Management, Cloud, Data, and Software Engineering. Our culture and reputation is driven by our COACH values; our Ipponites are Collaborative, Open-minded, Adaptable, Courageous, and Hungry. About the position:The Manager of Data Engineering & Analytics Consulting leads project delivery, strengthens client relationships, and leads team development. This role blends technical leadership with people management, ensuring high-quality, on-time solutions that drive business value. The Manager also mentors consultants, supports pre-sales, and translates complex needs into practical data solutions across cloud, engineering, and analytics. Ideal for a results-driven, client-focused leader passionate about impact and growth.Roles and Responsibilities: • Project Delivery & Technical Leadership:, • Lead and oversee the successful delivery of data engineering and analytics projects, ensuring outcomes align with client goals and contractual obligations, • Act as a hands-on contributor when needed, helping architect and implement data solutions across cloud platforms such as Snowflake., • Support pre-sales efforts by participating in scoping calls, developing proposals, estimating effort, and presenting technical solutions to prospective clients, • Contribute to internal initiatives such as playbook development, accelerator design, or knowledge sharing to improve delivery efficiency and consistency, • Help drive continuous improvement by providing feedback on processes, tools, and methodologies across the practice, • Travel to client sites as needed, generally within the US, with an expectation of occasional multi-day trips depending on engagement needs, • Client & Team Development:, • Serve as the primary point of contact for client stakeholders, building trusted relationships and ensuring high levels of satisfaction throughout engagements, • Mentor, manage and develop consultants on both technical and consulting competencies, fostering a high-performing, collaborative team culture, • Identify upsell or cross-sell opportunities during delivery and collaborate with Client Success or Sales teams to convert them into formal engagements, • Represent the firm at industry events, meetups, or conferences to expand your network and promote the practiceCompetencies we are looking for:, • Minimum Requirements:, • 5+ years of experience in data engineering, analytics, or data consulting, with proven success in client-facing and delivery roles, • 3+ years of experience in modern cloud data platforms with an emphasis on Snowflake, in addition to familiarity with Databricks, Azure Synapse, or AWS Redshift, • 3+ years of experience with AWS-native ETL tools such as Glue, EMR, and Step Functions, • Demonstrated ability to lead project delivery, manage small technical teams, and translate business needs into scalable data solutions, • Willingness to travel for client engagements as needed, • Preferred Requirements:, • Prior experience in a consulting or professional services environment, • Familiarity with complex AWS environments and services such as S3, Athena, IAM, Lambda, Step Functions, Secrets Manager, API Gateway, SQS, SNS, Kinesis, DMS, Glue, and Direct Connect, • Experience supporting pre-sales efforts, including proposal development, scoping, and technical demos, • Exposure to data governance, quality frameworks, or enterprise data strategy initiatives, • Familiarity with AI/ML pipelines or integrating ML models into data solutions (POC or production), • Proficiency with infrastructure-as-code tools such as Terraform, CloudFormation, or Kubernetes, • Excellent written and verbal communication skills, with the ability to present complex topics to technical and non-technical audiencesWhat we offer:, • Great salary and benefits - Health (HDHP & PPO Plans), dental, and vision insurance, HSA, EAP, as well as a 401k with company match, • Work/life balance - Ippon offers generous PTO, parental leave, medical leave, and flexible schedules, • A fun, creative, and healthy work environment, focused on teamwork, knowledge-sharing, and exceptional delivery, • Opportunities to expand your portfolio and work with different companies and industries

Job DescriptionImmuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and access control, and data activity monitoring and has deep integrations with the leading cloud data platforms. Immuta is now trusted by Fortune 500 companies and government agencies around the world to secure their data. Founded in 2015, Immuta is headquartered in Boston, MA. • Direct sales and opportunity generation: create, qualify, manage, and close sales opportunities for Immuta; direct business development / lead generation activities in order to ramp opportunity pipeline,, • Partner with Immuta’s reseller channel (recruitment, enablement & training, lead generation / business development, performance planning, goal setting and monitoring), • Oversee full sales lifecycle alongside cross-functional teams such as sales engineering, marketing, product, etc., • Participate in corporate sponsored trade shows, lead generation events, etc., • Take ownership of setting priorities and keeping the team focused on the important tasks to meet business and revenue goalsWHAT YOU'LL BRING:, • 8+ years of enterprise field sales experience. Experience within the data and/or security software space is strongly preferred, • Successful experience working in both large and small/emerging company environments, • Successful track record of introducing new product(s) into the IT market, executing business development, ramping pipeline, and closing meaningful business, • Successful track record of presenting and positioning software offerings directly to end customers and via reseller channels, • Strong data analysis skills, knowing what can / cannot be possible, and ability to visualize data in the best way possible, • Excellent executive level verbal and written communication, presentation, and relationship management skills; strong experience communicating with highly technical engineers, • Multitasking, critical thinking skills, and the ability to influence and manage multiple priorities are essential, • Team-oriented, flexible, and able to see the “big picture” - because our entire team must meet our goals for Immuta to be successful, • Willingness and ability to travel as needed to achieve GTM objectives

Job Description We are seeking a knowledgeable and innovative Product Architect to join our team. In this role, you will be responsible for the overall design and architecture of our product offerings, ensuring they meet both functional and non-functional requirements. Requirements • Lead the architecture, deployment, and integration of ATLAN across enterprise data ecosystems (cloud, on-prem, hybrid)., • Work with data engineering, governance, and platform teams to connect ATLAN with various data sources, pipelines, and BI tools., • Own and manage the underlying ATLAN infrastructure, ensuring scalability, performance, and reliability., • Provide technical guidance on metadata ingestion, lineage tracking, and access controls., • Partner with data stewards and governance stakeholders to drive adoption and ensure data discoverability., • Minimum 3+ Years’ working experience working with Atlan., • Hands-on product experience with ATLAN (deployment, configuration, administration)., • Proven experience integrating ATLAN or similar data catalog tools with multiple platforms (Databricks, Snowflake, BigQuery, etc.)., • Strong understanding of data infrastructure, metadata management, APIs, and security models. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job Description10+ years of experience in data engineering or production support within financial services or trading environments. Hands-on experience with Azure Databricks, Azure Data Factory, and Azure Storage, Logic Apps, Fabric. Strong Python and SQL programming skills. Experience with Bloomberg data feeds (BPIPE, TSIP,SFTP) Flexible work from home options available.

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

Job DescriptionDescriptionEverything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the “where” and the “why” of their business. CARTO is the leading cloud-native location intelligence platform, trusted by data scientists, data analysts and developers from companies such as Vodafone, IKEA, Decathlon, Coca-Cola and Mastercard to provide geospatial insights for use cases such as site selection, geomarketing, route optimization, network planning and much more. With an exceptionally diverse team of 150 people spread across the US and Europe, CARTO (backed by Accel Partners, Salesforce Ventures, Earlybird Ventures, and Kibo Ventures, among others) is changing the way companies analyze location data - making it simple to do this straight out of modern, cloud data warehouses. Redefining its category, the company has grown rapidly in recent years providing a compelling alternative to legacy GIS software. CARTO with its new CARTO 3 platform has built the most advanced location intelligence platform which connects directly to the most used Data Warehouses in the industry such as Google’s BigQuery, Amazon Redshift, Snowflake and Databricks; thus, allowing our partners and customers to do location intelligence and geospatial analysis directly where their data lives opening limitless possibilities for their businesses. To continue this growth, the North America Sales Team is looking for an experienced Enterprise Sales Account Executive to generate and execute sales plans with both new and existing customers and work with strategic cloud partners to actively drive sales opportunities and meet revenue goals. The team you will join is a group of curious, smart, motivated, and talented individuals who are driven by passion, technology, innovation, and success. Believers of the “all for one” mentality, we are friends and co-workers. Location - This position is remote, and the preference is a location WA, OR, AZ, CO, IN You will • Sell cutting-edge, cloud-native, geospatial analytics products that solve real business challenges for enterprise level accounts., • Develop a sales territory of named Enterprise and Large Enterprise accounts and drive opportunities via full sales cycles with new logos and expansions in existing accounts, • Build relationships with key strategic accounts and map prospect organizations to drive connections with multiple contacts focusing on key decision-makers, • Work and sell solutions with key strategic cloud partners, like Google Cloud, Amazon, Snowflake, and Databricks., • Deliver results by exceeding the assigned quota, • 5+ year track record of success in selling SaaS products in a quota carrying role, preferably in the geospatial, data science, BI, and analytics space, • Experience with geospatial platforms and understanding of the geospatial, GIS, analytics, and Cloud marketspace. Able to think strategically about competition, impact, and CARTO’s role in the market., • A culture of prospecting and disciplined territory development through personal outbound, as well as collaborating with SDRs and Partners to maximize pipeline production. SDR experience is a plus., • A MEDDICC fanatic, somebody who has been formally trained and understands how to apply the methodology to secure deals, • Experience achieving or exceeding quota in closing complex deals (>$150K ASP) and handling key accounts, • An individual who is highly motivated and thrives in a fast-paced dynamic environment, • Experience working and selling with strategic partners, preferably cloud-based (Google, AWS, Snowflake, or Databricks), • Proficient in standard revenue technology to maximize their own productivity: Salesforce, Gong, Apollo, Linkedin, and others., • Familiar with consumption models, • Competitive compensation., • Flexible work hours in a focused but casual environment., • Excellent benefits, including 100% medical, dental, and vision coverage for employees., • Generous time off, 401k with match, and stock options., • Growth prospects at a truly welcoming, multicultural and multilingual company., • A big vision: to help the world use location-based data to make better decisions. We believe that openness and sustainability are baked into this vision, and we’re sharing it with the world.

Job Description MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives. We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career. We are seeking an accomplished Executive Director, SQL Infrastructure and Operations to lead our enterprise database infrastructure strategy and operations. This role is responsible for overseeing the design, implementation, optimization, and support of robust, secure, and scalable SQL environments across our multi-tenant and international footprint. This is a strategic and hands-on leadership position for a highly experienced database professional who thrives in complex environments and is passionate about data performance, reliability, and operational excellence. Key Responsibilities • Leadership & Strategy Develop and execute a comprehensive roadmap for SQL infrastructure across cloud and on-premise environments., • Lead and mentor a global team of database engineers and administrators., • Align SQL operations with broader enterprise architecture and business objectives., • Infrastructure Management, • Oversee design and maintenance of highly available, multi-tenant SQL Server environments., • Ensure database systems are secure, compliant, and aligned with international data governance standards (e.g., GDPR, HIPAA)., • Drive standardization and automation of SQL infrastructure and operational processes., • Operations & Optimization, • Lead incident response and root-cause analysis for critical database issues., • Manage capacity planning, performance tuning, and cost optimization strategies across diverse workloads and geographies., • Define and monitor SLAs/OLAs, ensuring 24/7 availability and disaster recovery capabilities., • Oversee patching, backups, monitoring, and incident management, • Maintain infrastructure and database health through proactive monitoring and logging, • Collaboration & Communication, • Partner with application teams, DevOps, InfoSec, and business units to meet evolving data requirements., • Represent SQL Infrastructure in architectural reviews, audits, and executive discussions., • Bachelor's degree in Computer Science, Information Systems, or a related field (Master's preferred)., • 10+ years of hands-on experience managing enterprise SQL environments (SQL Server, Azure SQL, etc.)., • 5 years proven leadership and management experience with direct responsibility for global, multi-tenant database operations and support staff., • Proven experience managing IT infrastructure in a large-scale enterprise environment, including high-availability systems, disaster recovery planning, and performance tuning, • Expertise in high-availability architectures, replication, sharding, and disaster recovery strategies., • Strong experience with SQL Server tools (SSMS, SSIS, SSRS, etc.), cloud-based solutions (e.g., Azure, AWS RDS), and automation platforms (e.g., Terraform, Ansible, PowerShell)., • Familiarity with international compliance and data residency laws., • Excellent communication, leadership, and cross-functional collaboration skills., • Strategic Thinking and Execution, • ITIL certfication, • Certifications in database administration (Oracle, Azure, AWS, etc. a plus Keywords: SQL Infrastructure and Operations, Executive Director SQL Infrastructure and Operations, Multi-Tenant, Multi-server, AWS, Azure, SQL Server, MetTel, Jobs Near Me, #JobsNearMe, Google, LinkedIn, Indeed, #LinkedIn, #Indeed, #SQLInfrastructureandOperations, #AWS, #Azure, #SQLServer, IT Systems and Databases, Director SQL Infrastructure and Operations, #SQLInfrastructureandOperations, #ExecutiveDirectorSQLInfrastructureandOperations, Multi-Tenant, Multi-server, #MetTel, #JobsNearMe, #Google, LinkedIn, Indeed, #LinkedIn, #Indeed, #SQLInfrastructureandOperations, #ITSystemsandDatabases, #DirectorSQLInfrastructureandOperations, #Database, #DataEngineering, Data Engineering, #DatabaseServices, Database Services, Director Database Services, #DirectorDatabaseServices, Vice President Database Services, Director Database Administration, #DirectorDatabaseAdministration, Director DBA, #DirectorDBA, Data Platform Operations, #DataPlatformOperations, Data Governance, Cloud Data Architecture, DataOps, Database Reliability Engineering, Data Platform and Analytics, Vice President MetTel is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. To learn more about our company visit us at

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: • Design and develop models to extract entities, detect intents, and understand document structure, • Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs, • Evaluate model performance where ground truth is partial, uncertain, or evolving Qualifications • 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models., • Proficiency with Python, • Experience with the latest in language models (transformers, LLMs, etc.), • Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc., • Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow, • Industry experience shepherding ML/AI projects from ideation to delivery, • Demonstrated ability to influence company KPIs with AI, • Experience with document layout analysis (using vision, NLP, or both)., • Experience with Spark/PySpark, • Experience with Databricks, • Play a key role in the success of our products by developing models for document understanding tasks., • Perform error analysis, data cleaning, and other related tasks to improve models., • Collaborate with your team by making recommendations for the development roadmap of a capability., • Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines., • Understand product use-cases and define key performance metrics for models according to business requirements., • Have a strong grasp of technologies upon which our platform is built., • Be independent in reading literature and doing research to develop models for new and existing products., • Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed., • Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. #LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$136,000—$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers., • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more., • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives., • Work with stakeholders and translate their needs and expectations into action items and deliverables., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For:, • 5+ years of professional/industry experience, • Proficient in Python, SQL, DevOps, and databases., • 5+ years of professional/industry experience., • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes., • Experience modeling data sets for different types of sources and business processes., • Passionate about designing elegant data infrastructure, tooling, and pipelines. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Code N525HF Department Name Health Fund Admin Reports To Director, Health Fund Chief of Staff FLSA Status Exempt Union Code N/A Management Yes About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. The Funds oversees and manages $9 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people. For 2025 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Job Summary: Under the supervision of the Health Fund Chief of Staff, the Assistant Director, Health Fund Product & Data Engineering at the 32BJ Health Fund leads the Health Fund data engineering and product development teams. This role will lead the design, development, and optimization of data-driven solutions that support Health Fund products and analytics. This role combines strategic leadership with hands-on technical expertise to ensure scalable, secure, and innovative data platforms. The idea candidate will partner with cross-functional teams to delivery high-quality data engineering solutions that enhance product performance, improve member experience, and support organizational growth. The Assistant Director, Health Fund Product & Data Engineering supports the direction and overall data strategy that is focused on supporting the goals and the mission of the 32BJ Health Fund to provide best comprehensive health benefits to 200,000 32BJ SEIU Union members and their dependents. The team focuses on leveraging over 10 years of medical claims data, provider data and pricing data (internal and external) to inform improvements to the plan design, member navigation, direct contracting, and price transparency. The 32BJ Health Fund is at the forefront of leveraging data towards healthcare transformation and this role requires a strong and collaborative leader who is not content with the status quo, able to inspire, and who looks to form long-lasting internal and external partnerships. This is an ideal opportunity for an accomplished professional, self-driven strategic thinker, skilled at navigating and balancing internal business systems with mission-based priorities. Essential Duties and Responsibilities: • Supervise, develop, and inspire a team of talented Data Engineering, Product Development, and other technical professionals., • Motivate and gain the support of others to achieve organizational goals through emotional intelligence, accountability, and respect., • Work closely with the Health Fund leadership to develop a data strategy that allows for efficient use of internal data, external data, and price transparency tools to drive rational benefit design, contracting and support for existing tools that heavily rely on data (provider search tools, internal CRM, member portal)., • Support strategy goals and objectives and work with cross-functional teams on key objectives., • Collaborate with the Chief of Staff to develop and execute the data engineering and product development roadmap aligned with organizational objectives, • Propose and develop high level KPls and metrics to measure the effectiveness of technical initiatives in serving our participants and advancing our mission., • Facilitate and coordinate work on evolving data infrastructure architecture by collaborating closely with IT, Operations, and Health Fund leadership to support the full breadth of data projects and initiatives at the Health Fund., • Lead, with the Chief of Staff and cross-functional partners, the design and implementation of scalable data architecture and analytics solutions using Databricks platform., • Support the team's professional development, performance review and the hiring process., • Guide implementation of CI/CD practices using Azure DevOps for data and analytics workflows., • Collaborate with IT to evaluate and recommend new technologies and tools to enhance the data engineering ecosystem., • Foster a culture of continuous learning, collaboration, and technical excellence., • Provide strong and compassionate supervision to a diverse team professionals., • Partner with stakeholders to translate business requirements into technical specifications and data products., • Coordinate sprint planning, backlog management, and release cycles using Azure DevOps., • Ensure timely delivery of high-quality data solutions that meet business needs., • Support change management efforts related to the implementation, transformation recommendations, and business systems improvements., • Spearhead design discussions with the team to support the development, deployment, testing, and maintenance of high-quality solutions related to data analysis, data discovery, data pipeline automation, and roll-out compelling visualizations for business analysis., • Support a culture of data innovation within the team, with a mission-focused perspective to enhance the support we provide to participants., • Perform other duties as assigned by senior leadership and executive team. Qualifications (Competencies): • 5+ years of experience in data engineering, product management, analytics, or related technical roles, • 2+ years in a leadership or supervisory capacity managing technical teams, • Proven people management experience to lead and manage staff members, both direct and indirect reports, through effective planning and organization, supervision, and performance evaluation., • Demonstrated experience with Databricks platform (Delta Lake, Apache Spark), • Proven track record using Azure DevOps for project management, CI/CD, and version control, • Ability to maintain an organized approach, clarity of purpose, and goal orientation in a rapidly changing environment throughout the organization., • Ability to develop talent and will require a leader who is focused on the well-being and resource needs of the entire team., • Strong proficiency in SQL and at least one programming language (Python, Scala, or Java preferred), • Expertise in building and optimizing ETL/ELT pipelines and data workflows, • Experience with data science, machine learning, or AI initiatives, • Knowledge of data mesh, data fabric, or other modern data architecture patterns, • Prior exposure in the healthcare claims data industry preferred Soft Skills (Interpersonal Skills): • Outstanding verbal and written communication skills, • Ability to translate complex technical concepts for diverse audiences, • Experience presenting to executive leadership and stakeholders, • Strong interpersonal skills and ability to build collaborative relationships, • Resiliency in managing competing priorities and timelines to ensure a well balanced workload for the staff., • Self-starter who is highly motivated, collaborative, and innovative. Education: Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field Reasoning Ability: High Certificates, Licenses, Registrations: Preferred: Databricks Certifications (Data Engineer Associate, Professional, Platform Administrator), Microsoft Azure Certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert) 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. Reasonable accommodations may be made to enable individuals to perform the essential functions. 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. Reasonable accommodations may be made to enable individuals to perform the essential functions. • Under 1/3 of the time: Standing, Walking, Climbing or Balancing, Stooping, Kneeling, Crouching, or Crawling, • Over 2/3 of the time: Talking or Hearing, • 100% of the time: Using Hands Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Job Description We are seeking a Data Product Manager to support the VP of Data Strategy & Analytics in shaping and delivering high-impact data products across our B2B events and media business. This role will serve as the critical bridge between business stakeholders and technical teams, ensuring that data initiatives are grounded in clear requirements, aligned with strategic priorities, and successfully executed. You will be responsible for gathering and documenting business needs, translating them into detailed user stories and technical requirements, and supporting the full lifecycle of data product development. This includes analytics dashboards, audience intelligence tools, data integrations, reporting capabilities, and emerging AI-enhanced features. Ideal candidates combine strong analytical thinking with structured product documentation skills and a deep understanding of data concepts. This role is responsible for gathering business requirements, prioritization and execution of the roadmap. Responsibilities Business Requirements & Analysis • Partner closely with stakeholders across events, sales, marketing, product, and editorial to capture and clarify business needs related to analytics, reporting, and data-driven workflows., • Conduct stakeholder interviews, workshops, and process mapping to define business problems, desired outcomes, and success criteria., • Write detailed user stories that articulate business value, user needs, and technical considerations for data engineers, analysts, and platform teams., • Manage and prioritize the product backlog in alignment with the VP’s strategic direction and business impact., • Partner with data engineering and analytics teams to guide the development of dashboards, data models, integration workflows, and customer-facing data products., • Validate deliverables against requirements and acceptance criteria, ensuring accuracy, usability, and business alignment., • Communicate product updates, timelines, and changes to internal stakeholders in a structured and transparent manner., • Create documentation, release notes, and user guides to support adoption and ongoing usage., • Contribute to data governance initiatives by documenting data definitions, sources, and lineage as part of product requirements., • Ensure product decisions adhere to data quality, privacy, and compliance standards., • Bachelor’s degree in business, data analytics, information systems, or related field., • 3–5 years of experience as a product manager, business systems analyst, data analyst, or similar role within a data-driven environment., • Proven experience writing detailed user stories, functional requirements, and process documentation., • Solid understanding of data concepts such as data models, data pipelines, KPIs, and BI/reporting tools., • Strong knowledge of cloud data platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks), modern BI tools (e.g., Power BI, Tableau), and analytics environments., • Strong communication, facilitation, and stakeholder management skills., • Ability to break down ambiguous problems, prioritize needs, and align stakeholders around shared outcomes., • Comfortable operating in a fast-paced environment with shifting priorities across multiple teams. ABOUT EMERALD Emerald Holding, Inc. (NYSE: EEX) is the largest U.S.-based B2B event organizer, empowering businesses to succeed year-round by expanding meaningful connections, developing influential content, and delivering powerful commerce-driven solutions. As the owner and operator of a curated portfolio of B2B events spanning trade shows, conferences, B2C showcases and a scaled hosted buyer platform, Emerald delivers dynamic solutions across leading industries through its robust content and e-commerce marketplace. Emerald is a trusted partner for its thousands of customers, predominantly small and medium-sized businesses, playing a pivotal role in driving year-round commerce through streamlined buying, selling, and networking opportunities. Powered by an experienced team, Emerald is fostering meaningful engagement and delivering unparalleled market access with a commitment to driving business growth 365 days a year. Join Us at Emerald At Emerald, we are dedicated to building a workplace where everyone feels valued and included. We actively seek out diverse talent and fresh perspectives, embracing a wide range of professional backgrounds and experiences. Our skills-based hiring approach focuses on capabilities and potential. Over 90% of our roles don’t require a college degree, except for specialized fields like legal, finance, and accounting. Come grow with us! COMPENSATION & BENEFITS Target Compensation: $90,000-100,000 Please note that this range reflects a reasonable estimate of the target compensation for this position. This range may ultimately vary based on a candidate’s qualifications and may be higher where required by applicable law. We offer a competitive benefits package designed to strengthen our employees’ physical and mental health, including unlimited vacation for exempt employees, 401(k) plan with a company match, medical/dental/vision coverage, parental and caregiver leave, dependent, commuter and FSA benefits, professional development programs, and mental wellness tools such as weekly guided meditation programs. If you need accommodation in our application process or have questions about our posted salary range, please email our Talent Acquisition team at Careers@EmeraldX .com.

Job DescriptionWe’re hiring a Snowflake Data Engineering Consultant!Employment Type: Full Time/Direct Hire (No Agencies, No C2C)Location: Atlanta, GA, Washington, DC, NYC, Richmond, VA & Charlotte, NC Metro AreasLocation Type: Hybrid (1-2 days onsite per week) - Home Office/Local Ippon office About Ippon:The Ippon story started in 2002 in Paris, France - cue in the accordion. Our founder and CEO Stéphane Nomis used his unique experience as an international Judo champion to create a culture based on the sports values of ambition and excellence. Our USA Headquarters office is located in Richmond, VA, with additional offices in New York, NY, Washington DC, and Atlanta, GA. We are a technology consulting firm that specializes in helping accelerate our client’s digital roadmap in the areas of Product Management, Cloud, Data, and Software Engineering. About the position:We are seeking a Snowflake Data Engineering Consultant to play a pivotal, hands-on role in the design, development, and execution of cloud data solutions for our enterprise clients. This position is ideal for an experienced data consulting professional ready to bridge the gap between high-level architectural strategy and technical implementation. You will be responsible for translating business requirements into secure, cost-effective Snowflake architectures, participating directly in the execution of complex data migration projects, and ensuring best practices are followed across all data pipelines and modeling efforts. If you are passionate about the technical mastery of the Snowflake Data Cloud, skilled in performance optimization, and ready to collaborate closely with both engineering teams and client stakeholders to deliver value, this role is for you.Roles and Responsibilities: • Client Advisory and Consulting:, • Act as a trusted advisor to clients, helping them define and execute on their data strategy., • Translate business challenges into secure, scalable, cost-effective data solutions., • Support data discovery sessions and maturity assessments to identify gaps and opportunities., • Serve as a technical contributor in client discussions, translating business requirements into technical specifications., • Advise clients on best practices around insight quality, • Complex Project Delivery:, • Execute key phases of end-to-end data migrations from legacy platforms (e.g., Teradata, Oracle, Redshift) to Snowflake., • Contribute to the design of migration strategies and assist in developing implementation roadmaps., • Implement advanced Snowflake features in client environments: Snowpipe, Snowpark, Dynamic Tables, Time Travel, and Zero-Copy Cloning., • Support the designing and building of secure, efficient Snowflake architectures for specific data domains, ensuring alignment with business objectives., • Create and maintain detailed technical documentation, data models, and implementation guides., • Ensure data quality and security standards are met within the implemented solutions. (GDPR, HIPAA, SOX), • Follow agile delivery methodologies and ensure timely completion of assigned technical deliverables., • Thought-Leadership and Innovation:, • Stay current on market-leading data offerings and platforms (e.g., Snowflake, Databricks, Redshift, PowerBI, Tableau, Looker, etc)., • Contribute to the evolution of internal offerings around data, decision intelligence, and AI/ML readiness., • Lead internal and external workshops, demos, and enablement sessions to foster data literacy., • Share industry insights, trends, and new technologies with both clients and internal teams., • Collaboration and Communication:, • Collaborate with internal and external stakeholders, architects, tech leads, business analysts, engineers, and data scientists to align data engineering contributions with business priorities., • Present findings and recommendations to both technical and executive audiences., • Provide support and knowledge-sharing to junior engineers and team members on best practices.Competencies we are looking for:, • Minimum Qualifications:, • Bachelor's degree in Computer Science or a related field, or equivalent experience, • 4+ years of experience in data engineering, warehousing, or architecture across modern data cloud platforms, • 3+ years of proven expertise with the Snowflake platform and advanced features, • 1+ year experience with data migration projects from on-premises to cloud solutions, • Experience optimizing Snowflake architecture, queries, and warehouse usage to ensure maximum efficiency and minimize costs., • Strong proficiency in SQL, Python, and cloud platforms (AWS/Azure/GCP), • Deep understanding of ETL/ELT processes, data modeling, and warehouse design, • Experience with migration tools such as SnowConvert, Matillion, Informatica, Talend, and dbt, • Excellent verbal and written communication skills to support presentations, client discussions, technical documentation, and conveying complex technical concepts to non-technical stakeholders and team members, • Strong analytical and problem-solving skills with an outcomes-oriented mindset, • Preferred Qualifications:, • SnowPro Core Certification (Advanced certifications a plus), • Working experience in highly regulated industries such as Financial Services, Insurance, Healthcare, Logistics, and Education, • Skilled in collaborating with multidisciplinary teams to achieve shared goals efficiently and effectively., • Enterprise-scale data consulting experience with the ability to understand client requirements, build relationships, and deliver successful solutions, • Demonstrated project leadership skills with the ability to guide, motivate, and inspire team members and stakeholders toward achieving shared objectives., • Cloud Certifications in AWS, Azure, or GCP, • Knowledge of CI/CD pipelines and DevOps best practices, • Experience with Infrastructure as Code (Terraform, CloudFormation), • Effective time management and organizational skillsWhat we offer:, • Great salary and benefits - Health (HDHP & PPO Plans), dental, and vision insurance, HSA, EAP, as well as a 401k with company match, • Work/life balance - Ippon offers generous PTO, parental leave, medical leave, and flexible schedules, • A fun, creative, and healthy work environment, focused on teamwork, knowledge-sharing, and exceptional delivery, • Opportunities to expand your portfolio and work with different companies and industries

Job Description Responsibilities: • Design, develop, test and document highly reliable solutions running fully in the Azure and AWS public clouds, • Manage and monitor Azure and AWS cloud infrastructure, ensuring optimal performance and security, • Manage and monitor full Microsoft 365 estate, including Entra, Intune, the full Defender Suite and Exchange Online, • Build up Infrastructure as Code capabilities across the public cloud footprint, • Become an integral part of our technology team, including being an escalation point for junior team members, • Establish strong understanding of business needs and priorities Qualifications: • 8-10 years of experience in infrastructure engineering (experience in the finance industry desirable), • Extensive experience in the Azure and AWS public clouds with IaaS and PaaS workloads, including management of VNets/VPCs, private networking, storage accounts, Docker c containers, Function Apps/AWS Lambda, and managed databases., • Significant experience with cloud cybersecurity best practices, • Significant experience with Entra ID, Azure Policies, Azure Site Recovery, Azure Backup Center, and other Azure services., • Significant experience with Azure Virtual Desktop (AVD) and Windows 365., • Significant experience managing Microsoft Intune, including MDM/MAM policies and device configurations., • Significant experience with general database administration of SQL Server, • Some experience with Infrastructure as Code (IaC) and Cloud Adoption Framework/Well Architected Framework best practices, • Some experience with modern data stack tools, such as Databricks, Airflow, and GitHub, • Some experience of SharePoint Online architecture, site collections, and document libraries., • Bachelor’s Degree preferred, preference for Computer Science/Computer Engineering majors

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data consultant who can successfully work with client projects, teams, and stakeholders.What You'll Do • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Perform hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Be the expert in various client meetings such as stakeholder interviews & workshops, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Proactively identify risks, issues and provide mitigation strategies, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to participate in a best-in-class data practice, • 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment, • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions, • 5+ years in a consulting role or a data-focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, etc.Preferred Additional Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Ability to present data solutions to business stakeholders with clear business acumen, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields

Job Description The Financial Crime Data Scientist combines investigative expertise with advanced data science techniques to identify, assess, and mitigate financial risks, fraud, and emerging cyber-enabled threats. This role will analyze transactional, behavioral, and device-level signals; detect indicators of compromise; identify anomalous activity; and support intelligence integration into Appgate’s Fraud security products. The analyst will collaborate closely with internal product teams and other external intelligence sources to track financial crime patterns (e.g., ransomware operators, malware families, account takeover trends, money mule networks) and translate insights into predictive models, detection rules, and automated workflows. This candidate bridges fraud investigation, data analysis, and technical implementation while working cross-functionally with Product, Engineering, Risk, Marketing, and Operations. Responsibilities Fraud & Threat Intelligence • Conduct in-depth investigations into financial crime activity, including transaction fraud, account compromise, synthetic identity, malware-enabled fraud, and ransomware monetization patterns., • Monitor intelligence feeds for emerging threat actors, TTPs, botnet activity, phishing kits, malware variants, and monetization schemes., • Collect, clean, engineer, and analyze large datasets using Python, SQL, and cloud-based data platforms., • Perform statistical analysis, clustering, anomaly detection, and supervised/unsupervised machine learning to improve predictive fraud scoring., • Build and maintain analytical data pipelines with engineers using tools such as Airflow, dbt, Spark, or similar., • Automate data ingestion (APIs, logs, intelligence feeds, enrichment sources) for ongoing fraud monitoring., • Translate fraud intelligence into actionable requirements for product and engineering teams (e.g., detection rules, model features, new risk signals)., • Collaborate with marketing and customer-facing teams to prepare intelligence briefs, threat summaries, and fraud trend reports., • Maintain strict confidentiality and follow handling protocols for sensitive data, PII, and regulated financial information., • Stay current on fraud trends, sanctions, AML regulations, and industry standards. Required Qualifications • Bachelors/Masters degree in Data Science, Applied Statistics, Digital Forensics, Financial Engineering, Criminology, Computer Science, Cybersecurity, or relevant field; or equivalent experience., • 1–3+ years in fraud detection, threat intelligence, financial crime investigations, cyber threat analysis, or risk operations., • Strong proficiency in:, • SQL for data extraction and manipulation, • Python (pandas, NumPy, scikit-learn) for data analysis, • Data visualization tools (Tableau, Power BI, Looker, etc.), • Familiarity with machine learning concepts, anomaly detection, statistics, and predictive modeling., • Experience with fraud platforms, case management systems, device intelligence, or behavioral analytics systems., • Demonstrated investigative mindset with excellent documentation and communication skills. Preferred / Nice-to-Have Technical Skills • Experience with big data technologies (Spark, Databricks, Snowflake)., • Knowledge of fraud-specific data sources: device fingerprinting, behavioral biometrics, geolocation, IP intelligence, OSINT, malware intel feeds., • Familiarity with malware families, attack chains, and cyber threat intelligence frameworks such as MITRE ATT&CK., • Exposure to API-based integrations, data enrichment pipelines, and log analysis., • Understanding of risk scoring systems, rules engines, or real-time decisioning platforms., • Experience with AML, KYC, BSA, sanctions screening, or cryptocurrency tracing tools. Key Competencies • Analytical and critical thinking, • Statistical and machine learning literacy, • Effective communication and storytelling with data, • Investigative rigor and attention to detail, • Cross-functional collaboration, • Integrity and confidentiality, • Strong problem-solving and decision-making skills Appgate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of Appgate’s policy regarding affirmative action and equal employment opportunity, Appgate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company’s EEO Coordinator.

Job Description Overview CTG is seeking a skilled Data Engineer to design, build, and maintain high-performance ETL pipelines and data platforms for our client. Local tri-state candidates preferred. Location: Hybrid in NYC (minimum 3 days onsite weekly) Duration: 12 months What You’ll Do: * Develop scalable ETL pipelines using Python and OOP principles. * Write, optimize, and troubleshoot SQL queries and stored procedures (SQL Server, DB2, Oracle). * Integrate applications via APIs and web technologies. * Build and manage Airflow DAGs to automate workflows. * Design and maintain data models, schemas, and entity relationships. * Ingest, cleanse, govern, and deliver data in cloud warehouses like BigQuery and Databricks Delta Lakehouse. Skills & Experience: * Strong Python programming and software development expertise. * Deep knowledge of SQL, RDBMS, ETL processes, and data modeling. * Experience with Airflow, cloud data warehouses, and workflow automation. * Familiarity with Spark a plus. * Independent problem-solver with strong analytical skills. Nice to Have: * Hands-on experience with IBM Apptio or ability to ramp up quickly. * Willingness to learn new tools and technologies. Education: * Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field preferred, or equivalent experience. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Dallas Bell at . Kindly forward this to any other interested parties. Thank you!

Job DescriptionFounded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! About the Team: We're looking for a hardworking, focused and driven Enterprise Account Executive to channel energy, passion and initiative into new logo acquisition. You'll be responsible for developing and executing against a comprehensive account/territory plan whilst working collaboratively with our internal and external resources. This is a 100% remote role with location preference in Greater New York tri-state metro region with ability to travel within and outside of this region. About the Role: • Proactively, identify, qualify and close sales pipeline across your territory and accounts, • Close business to meet and exceed monthly, quarterly and annual business targets, • Demonstrate an extensive understanding of the Obsidian Security offering and our value to our customers, • Align with our partners and alliances to optimize opportunities, • Partner with internal resources across Sales Engineering, Customer Success and Customer Support, • Demonstrate accurate pipeline forecasting and management, • 5+ years of enterprise sales experience, • Working knowledge of sales concepts, methods and techniques, • Experience evangelizing new technology into F1000 accounts., • Able to maintain and manage existing client relationships and accounts., • Able to utilize existing client and/or C-Level relationships, as well as build new relationships across IT Security as well as other lines of business., • Self Starter that creates and maintains a sales pipeline by capturing accurate and complete information in selected CRM databases including activity, closing, project forecast, close ratios and market intelligence., • Strong ability to understand a customer's business issues and needs and be able to articulate and map back value to a solution., • Strong prospecting skills, deal qualification, and POV management skills, leading to acquisition of new business., • Team player with the ability to collaborate well with internal stakeholders or partners to drive opportunities to closure., • Need to maintain and keep up with market trends, competitor analysis, and market conditions which may impact customers. Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: • Competitive compensation with equity and 401k, • Comprehensive healthcare with dental and vision coverage, • Flexible paid time off and paid holiday time off, • 12 weeks of new parent or family leave Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range$124,000—$176,000 USD

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About the Role: As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do • Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • 7-11 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description Overview CTG is seeking to fill an Application Database Administrator - RDBMS position for our client. Location: Hybrid – must be in the office 3 days a week in NYC Duration: 12 months Duties & Responsibilities: * Develop, maintain, and optimize SQL queries, procedures, and ETL pipelines. * Analyze and troubleshoot existing RDBMS code (SQL Server, DB2, Oracle). * Implement integrations between applications via APIs and web technologies. * Build ETL pipelines in Python following OOP principles; create efficient, reusable code. * Perform data modeling, including schema design and entity relationships. * Work with data warehouses (BigQuery, Databricks Delta Lakehouse) for ingestion, cleansing, governance, and reporting. * Develop and manage Airflow workflows (DAGs). * Collaborate effectively as an individual contributor, quickly understanding existing systems. Skills & Qualifications: * Strong programming skills and deep understanding of RDBMS concepts. * Expertise in SQL across multiple dialects and Python-based ETL development. * Knowledge of data modeling, data warehouses, Spark, and workflow orchestration tools. * Ability to work independently, learn new technologies, and adapt quickly. * Preferably local to NYC tri-state area, capable of reliable commuting. Experience: * Proven experience developing database solutions, integrations, and ETL pipelines. * Hands-on experience with SQL Server, DB2, Oracle; BigQuery and Databricks preferred. * Familiarity with IBM Apptio a plus or willingness to ramp up quickly. Education: * Bachelor’s degree in Computer Science, IT, or related field, or equivalent experience. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact JoAnn Abramo at . Kindly forward this to any other interested parties. Thank you!

Job Description ABOUT UPCLEAR UpClear delivers a SaaS revenue management platform that is used by some of the most recognizable consumer goods brands in the world. Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business Planning and Revenue Management. We serve more than 80 brands in over 30 countries. Our growth is substantial and consistent; we have been on the Inc 5000 list of fastest growing private companies for eight years in a row. UpClear's global headquarters is in New York City and we have satellite offices in London, Paris, and Singapore. POSITION OVERVIEW We are hiring a Sr. Manager Data Engineering & Analytics to define our data strategy and build a high-performing data practice. You’ll design and operate scalable data platforms, establish governance and quality standards, and partner with business and product leaders to turn data into decisions. This role blends leadership and hands-on execution—you’ll mentor engineers while shaping architecture, optimizing pipelines, and driving reliable, accessible data across the company. RESPONSIBILITIES • Define and implement the data strategy, architecture, and roadmap aligned with company objectives., • Establish best practices for data management, quality, and governance across the organization., • Partner with business, product, and engineering leaders to translate data into actionable insights and scalable systems., • Build, lead, and mentor a multidisciplinary data team (data engineering, analytics)., • Design, develop, and maintain scalable data architectures and pipelines (including data warehouse, ETL/ELT, and data models)., • Oversee data visualization and reporting infrastructure to ensure reliable, consistent insights across teams., • Bridge data engineering and analytics functions, ensuring alignment between raw data pipelines and business intelligence outputs., • Oversee integration of disparate data sources into unified and reliable data platforms., • Ensure high performance, availability, and accuracy of data systems across environments and regions., • Remain hands-on with key technologies (SQL, cloud data tools) as needed to accelerate implementation., • Evaluate and introduce new technologies and practices that enhance data quality, governance, and observability., • Implement robust data governance frameworks, policies, and compliance standards., • Establish and monitor data quality KPIs and SLAs., • Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or a related field., • 8+ years of experience in data engineering, with 3+ years in a leadership or management role., • Proven experience building and scaling data teams and platforms from early stage to maturity., • Experience managing both data engineers and analysts, or working across both functions., • Strong understanding of modern data stack technologies (e.g., dbt, Snowflake, Azure Data Factory, Databricks, Airflow)., • Expertise in SQL and at least one programming language (Python, C#, etc.)., • Experience with data governance, lineage, and metadata management tools., • Strong understanding of analytics workflows and BI tools (Tableau, Power BI), • The ability to translate technical data models into business value. WHY UPCLEAR ? • Be part of a growing global SaaS company, with offices in NYC, London, Paris, Singapore, • Work on latest Cloud technology and build architecture for fast-growing Tech, • Weekly happy hours, good office culture, global cross team collaboration, direct access to executive leadership for guidance. UpClear employees have access to a range of competitive benefits, including • Various Health Care Plans you can choose from to best fits your needs (Medical, Dental & Vision), • Retirement Plan with company match (401k, IRA), • Generous Paid Time Off package that grows with seniority (Vacation, Sick, and Public Holidays), • Paid Maternity leave, • Paid Parental bonding leave, • One month paid sabbatical after five continuous years of work at UpClear, • Hybrid work model

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. About the role You’ll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design and implement the foundational data platform around our core metrics, and set us up for long-term analytical scalability. This role is ideal for an engineer who has built a data platform end to end and wants ownership of the full data stack. You’re comfortable operating in ambiguity and focused on driving real business impact. What you’ll do * Design and implement our first scalable data warehouse/lakehouse to support KPIs. * Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools. * Work with leadership to translate business metrics into concrete data models and schemas. * Define and own data modeling standards and best practices. * Implement monitoring, data quality checks, and observability around pipelines and core tables. * Enable BI and data analysts through well structured models and self-serve friendly datasets. * Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics. Experience * 3–5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for analytics * Hands-on experience with a modern cloud data stack, such as: * Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc. * Orchestration/transformation: dbt, Airflow, Dagster, or similar. * Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc. * Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness). * Strong understanding of data quality, testing, and monitoring practices. * Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions. Nice to have * Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers. * Experience in B2B SaaS, especially around revenue, usage, and customer health metrics. * Prior experience as an early data hire or working in a small or medium, fast-growing startup. Perks and Benefits (Full-time Employees) * Competitive compensation and equity * Up to 100% employer covered monthly healthcare premium (medical, dental, vision) * Daily meal stipend for in office days * Tax free commuter and parking benefits * Parental leave up to 12 weeks * Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program (Rightway) * Unlimited PTO * 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $140K - $195K

Job DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. Reporting to the VP of Data Science, as the Senior Data Scientist on our Measurement Sciences team, you will design and operationalize robust measurement frameworks—leveraging causal inference, experiment design, and advanced machine learning—to deliver transparent, actionable insights on ad incrementality, audience targeting, and cross-platform attribution. You will provide thought leadership and help guide the transformation of how advertisers measure, attribute, and optimize TV campaigns across linear and streaming platforms.WHAT YOU'LL DO • Design and implement ad incrementality measurement methodologies (A/B tests, uplift modeling, synthetic controls, Bayesian causal models) for linear TV and Connected TV (CTV) campaigns, • Develop globally scalable audience segmentation and targeting models using our viewership data ecosystem via millions of connected TVs, • Build and validate multi-touch attribution frameworks that reconcile impressions, views, and conversions across linear, CTV, OTT, and digital channels, • Lead the full analytics lifecycle—from data ingestion/ETL (SQL, Spark, Python) through feature engineering, model development, evaluation, and production deployment, • Partner closely with data engineering and DevOps teams to operationalize models in our cloud platform and ensure data quality, security, and scalability, • Translate complex analytical findings into clear, concise presentations and dashboards for internal stakeholders and external clients, driving strategic decision-making., • Support sales and marketing teams with the development of strong positioning stories to highlight the value of our audience media and measurement opportunities, • Mentor junior data scientists and analytics engineers, fostering best practices in experimentation, code quality, and reproducibility WHO YOU ARE, • Have a Master’s or advanced degree in Statistics, Econometrics, Data Science, Computer Science, or related quantitative field, • 7-10 years of hands-on experience in advertising/marketing analytics, media measurement, or a closely related discipline, • Expert in causal inference techniques (RCT design, difference-in-differences, propensity scoring, synthetic control) and uplift modeling. Background in Bayesian statistics or hierarchical modeling for uncertainty quantification, • Have a proven track record building attribution and incrementality solutions for TV and cross-media campaigns, • Have advanced programming skills in Python and SQL; Familiarity with Spark or other distributed compute frameworks, • Have demonstrated leadership in mentoring small data science teams and managing end-to-end data science projects, • Able to visualize data in a way that makes it easy for others to understand, • Are detail-oriented, highly organized, and proactive, • Have strong verbal and written communication skills, with the ability to explain complex analyses to both technical and non-technical audiences, • Thrive in a dynamic, fast-paced Agile and global environment, and being a team player, • Experience with data platforms (Databricks, Sagemaker, BigQuery, etc.), data orchestration tools (Airflow, dbt) and CI/CD best practices a plus, • Bonus: Strong knowledge or experience working with TV viewership data sources (set-top box, return-path, panel, census-level) and measurement vendors (Samba TV, Nielsen, Comscore, etc.)

Job DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. As Director of GTM Business Intelligence at Samba TV, you’ll manage the GTM BI Platform (Visualization, ETL, Database, etc.), ensuring smooth workflows that help enable and empower Sales, Product, Finance, Leadership, etc. functions to retain and grow revenue. You’ll work closely with other members of the Revenue Operations Team, Sales and Sales Support Leaders and Finance to help optimize our GTM BI Platform. This is a pivotal role to help increase visibility to our data and help our client-facing teams spend their time driving revenue and supporting clients. Requirements: must live within 50 miles of the Samba NYC Office. Required in office 3 days a week (Tuesday-Thursday) with a possibility of increasing in the future.What You'll Do • Business Ownership: Be the owner of Samba TV’s GTM BI Platform, managing a team ultimately responsible for revenue tracking across the company and deep understanding of order to revenue, • Responsible for data accuracy and troubleshooting, ensuring all partner revenue is accurately displayed within BI platform, • Architecture and Integration: oversee development of end-to-end data pipelines, schemas, and ETL processes to unify disparate data sources into a reliable BI environment, • Data Migrations: Manage and execute large-scale data migration projects and comparable complex assignments., • Technical & Leadership Skills: Deep understanding of end-to-end data flow, APIs, databases, and BI tools., • Visualization and dashboard creation expertise; Power BI preferred., • Data Governance: implement best practices (taxonomy, naming conventions, documentation) to ensure consistency and reliability across all reporting, • Report Logic Standardization: Drive the standardization of reporting logic across multiple Samba products, ensuring alignment, attribution logic, and calculations, • Data Integration: Prepare and integrate outside datasets, including first-party and non-standard digital inputs, into analytics workflows., • Data Quality & Anomaly Detection: Implement QA processes and anomaly detection to safeguard data integrity across all deliverables., • Revenue Reconciliation: Oversee the monthly reconciliation process to ensure all booked revenue is accurately captured, validated, and aligned across CRM, BI, and Finance systems, • Stakeholder Management: Engage with internal leaders, and cross-functional teams to drive adoption of data solutions and workflowsWho You Are, • Curious – Always learning, humble when you don’t know something, and eager to improve, • Proactive – You see opportunity in every challenge and work fast to deliver value to clients, • Collaborative – You’re a team player who thrives in a fast-paced, cross-functional environment, • Self-Starter - You seek out opportunities to solve problems instead of waiting to be told what to do, • Communicative - You overcommunicate to ensure your stakeholders are aligned with expectations, • Ownership - You take Ownership in your roles and responsibility and can be counted upon to deliverWhat You Bring, • 10+ years of experience in BI, Database Management or related roles, • Experience overseeing BI Platforms and managing a team, • Experience in Media/AdTech with deep Programmatic, DaaS and Project knowledge and understanding, • Strong understanding of CRM database structures, object relationships, and reports, • Strong BI tool skills (Alteryx, Power BI, KNIME, Looker etc.), • Database & ETL experience (Azure, Snowflake, Databricks, AWS, GCP. BigQuery, etc.), • Strong understanding of the Ad Tech and Media landscape specifically Audience and Measurement reports across various platforms, • Strong communication and problem-solving skills with a proactive, collaborative approach, • Excellent attention to detail and willingness to troubleshoot for complete accuracy

Job DescriptionSalary: SoHo Dragon represents a tech-driven, AI-native pharmaceutical company thats shaping the future of healthcare. Were looking for a mid-to-senior-level Data Engineer to play a key role in building and optimizing data solutions. Youll work with Snowflake andDagster as your core tools, while also leveraging Terraform, GitHub Actions, and Databricks to deliver scalable, high-impact data pipelines. Start date: ASAP Contract duration: 2-6 months Location:New York City(hybrid 3x in office Tues-Thurs) Boston, MA (hybrid 1x in office every Tues initially)

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're rebuilding our data foundation from the ground up - and we're looking for a Senior Analytics Engineer who thrives at the intersection of data infrastructure, business context, and cross-functional collaboration. If you're excited by the idea of owning foundational systems that will power pricing, personalization, experimentation, and more—this role is for you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA About the Team: As a Senior Analytics Engineer at StubHub, you'll be a force multiplier for the entire company. You'll build scalable data products and frameworks that empower analysts, data scientists, and business leaders to make better, faster decisions. You'll bring order to chaos, anticipate data needs before they arise, and partner with stakeholders across engineering, product, and business teams to help us unlock the full value of our data. What You'll Do: • Own the development of cross-functional data models, core business metrics, and self-service dashboards/tools., • Build, document, and maintain robust data pipelines using tools like dbt, Airflow, Snowflake, BigQuery, or Databricks., • Anticipate and solve common data access patterns across product, marketing, finance, and operations teams., • Partner closely with data scientists, analysts, and software engineers—often serving as the bridge between product needs and data infrastructure., • Define and scale analytical frameworks that support experimentation, decision-making, and business health monitoring., • Act as a domain expert in one or more business areas (e.g., pricing, supply, demand, user growth), becoming a go-to thought partner for leadership., • 5 - 10 years of experience in analytics engineering, data engineering, or business intelligence in a fast-paced, high-growth environment., • Expert SQL skills and strong proficiency in Python (or another programming language like Java)., • Hands-on experience building data pipelines and models with tools like dbt, Airflow, and Snowflake (or equivalent)., • Experience with BI tools such as Looker, Tableau, or Mode, and a strong understanding of enabling self-serve analytics., • Familiarity with both batch and streaming data processing patterns., • An ability to translate messy, real-world business problems into elegant, scalable data systems., • A collaborative mindset with a passion for partnering with non-technical stakeholders to unlock insights and drive impact., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$175,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description Senior Data & Platform Engineer (Market Risk Tech) MUST be local to New York City, Hybrid Schedule Salary: >$180k No Sponsorship Available Role: Build data services and Spark pipelines on Kubernetes and Databricks. Own end-to-end delivery with strong SDLC and mentor junior engineers. Financial-risk experience required, with Market Risk strongly preferred (CCR or Liquidity also acceptable). Responsibilities: • Develop Java/Python services and SQL/Spark ETL on Databricks., • Containerize and deploy to Kubernetes with full observability., • Enforce strong SDLC: reviews, testing, CI/CD, monitoring., • Deliver audit-ready data contracts; partner with risk teams., • 6+ years engineering; expert in Java, Python, SQL., • Spark/Databricks proficiency (Delta, performance tuning)., • Production Kubernetes experience., • Strong CI/CD and SDLC discipline.

Job Description Purpose of Position: • Designing, developing, and maintaining applications and API's using the .NET framework (C# and ASP.NET) and front-end technologies (JavaScript, HTML, CSS), ensuring high performance and responsiveness., • Supporting development and maintenance of conversational agents and AI-powered applications and APIs, • Collaborating with cross functional teams and maintaining existing applications ensuring performance and security, • Key duties involve writing clean and efficient code, integrating with databases, troubleshooting issues, and creating technical documentation. Essential Job Functions: • Software Development: Build and modify applications using the .NET framework, C#, ASP.NET MVC, JavaScript, SQL database and other related technologies, • API Development: Build and integrate APIs including RESTful services and connect with third-party services, experience with FIS Code Connect preferred, • Integrations: Assist with integrating bots with enterprise systems, and data sources using tools like Power Automate and Azure AI services, • Maintenance and Enhancement: Troubleshoot, debug and upgrade existing applications to ensure optimal performance and efficiency, provide support for legacy systems, • Database Integration: Develop and optimize database functionalities for efficient data storage and retrieval using SQL and SSIS packages, • Testing and Debugging: Write test plans, identify and fix bugs, and ensure code quality and reliability., • Collaboration: Work with teams to gather requirements, analyze needs, and ensure project goals are met., • Documentation: Create and maintain technical documentation for applications. Knowledge, Skills and Experience Requirements: • Back-end: Proficiency in C#, .NET/JRE Framework, .NET Core, Node JS Python, • Front-end: Proficiency in JavaScript, HTML, CSS, React or Angular framework, • Databases: Experience with both MS SQL, SSIS and exposure to Databricks DL., • Methodologies: Experience with Agile methodologies is a plus., • Version Control: Experience with TFS and GitHub, • Problem-solving: Strong analytical and problem-solving skills with attention to detail., • Good communication and interpersonal skills to interact with end-users and stakeholders., • Bachelor’s degree in computer science or equivalent experience (6+)

Job Description Senior Manager, Commercial Analytics & Data ScienceHow you’ll make an impact: • You will build machine learning models to answer key business questions impacting strategy and marketing spend allocation, • You will perform feature engineering and contribute to our feature store, • You will lead dashboard development and lead development of enhanced visualization toolsResponsibilities: What you’ll do:, • Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.), • Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy., • Use enhanced python based graphical visualizations to deliver key insights to leadership., • Research and implement novel modeling techniques to solve complex business problems., • Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results., • Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions., • Measure incrementality of paid media campaigns using matched market testing.Requirements: What you’ll need:, • Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or related quantitative field., • Strong prior experience in data science, business & statistical analytics., • 7+ years of experience in related field., • Strong background in SQL & Python, R is a plus., • Experience in machine learning algorithms & libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN., • Experience in visualization tools. Examples: Databrick AI/BI, Rshiny, Dash, Tableau., • Familiarity with Databricks platform is a plus., • Willingness to take initiative and to follow through on projects., • Excellent time management skills with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment., • Must have legal right to work in the U.S.Compensation:, • $100 to $105/hr. (W2)Job req# 1654-1

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest US is seeking an experienced Data & Analytics Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data consultant who can successfully work with client projects, teams, and stakeholders.What You'll Do • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Perform hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Be the expert in various client meetings such as stakeholder interviews & workshops, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Proactively identify risks, issues and provide mitigation strategies, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to participate in a best-in-class data practice, • 1+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment, • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions, • 2+ years in a consulting role or a data-focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, etc.Preferred Additional Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Ability to present data solutions to business stakeholders with clear business acumen, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields

Job Description Be Part of a High-Performing Team This position supports a major financial institution undergoing an extensive digital transformation to modernize its data ecosystem and cloud strategy. The organization is investing heavily in scalable, cloud-based platforms that can support advanced analytics, regulatory reporting, and mission-critical capital markets operations. You will join a team focused on delivering next-generation data capabilities across broker-dealer and swap-dealer business lines, working closely with both technology and market-facing groups. The environment is highly collaborative, growth-oriented, and aligned around building a unified, strategic data foundation that will power long-term innovation. What’s In Store For You This hybrid role offers the opportunity to work with modern Azure cloud technologies while contributing to the early phases of a multi-year data platform initiative. Engineers in this group gain exposure to complex financial datasets, enterprise cloud architecture, and cross-functional project teams, creating strong pathways for technical and professional development. How You Will Make an Impact • Build and enhance cloud-native data pipelines and services used across capital markets and securities teams., • Contribute to the development of a strategic reference data system for securities, pricing, and future data domains., • Design and implement ETL/ELT workflows that support high-volume, business-critical data flows., • Develop APIs and integration components to deliver data to internal consumers and downstream systems., • Collaborate with architecture, DevOps, and engineering teams to ensure solutions meet performance, reliability, and compliance requirements. Required Skills & Experience • 5–7 years of experience as a Data Engineer., • Advanced experience with Azure cloud services, including Data Factory, Databricks, Data Lake Gen2, Azure Functions, and Azure databases., • Strong SQL expertise working with relational or NoSQL systems., • Hands-on development experience with Python, specifically building REST APIs (FastAPI or similar)., • Solid understanding of ETL and ELT methodologies., • Proficiency with Git, Jenkins, and CI/CD workflows., • Background in financial services or exposure to market data, asset classes, or securities reference data., • Familiarity with Azure Data Fabric or API gateway management., • Relevant Azure certifications (DP-203, Solutions Architect)., • Experience supporting large-scale cloud modernization efforts. #dice

Job DescriptionAbout the CompanyCompany Size: < !0 PeopleIndustry: Agentic AI, Automation, Enterprise SoftwareFounding Year: 2023Stage: Early-Stage StartupTech Stack: Python, TypeScript, Kubernetes and other leading tools This early-stage team is building the foundation for enterprise AI—deploying autonomous agents that deliver specialized services with human-level quality. Founded by builders from companies like Google, Databricks, and Canva, they’re moving fast to turn ambitious ideas into real-world systems. As one of the first platform engineers, you’ll help define, architect, and build the systems that make everything possible. Cognitive agents, context graphs, observability, developer tools—this is zero-to-one, high-ownership work with massive technical depth. You'll be hands-on in setting the technical direction, making foundational choices, and scaling the infrastructure that real-world AI deployments depend on.What You’ll Tackle: • Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems., • Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries., • Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless., • Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation., • Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast.What You'll Bring:, • Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems., • Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries., • Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless., • Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation., • Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast.Why You’ll Want to Join:, • Founding seat at a venture-backed, mission-driven AI company., • Huge technical ownership—architect, build, and scale the systems that everything else depends on., • Tight-knit, high-velocity team—no endless approvals, just smart people building quickly., • Real-world AI impact—enterprise deployments in industries that matter, not toy projects.

Job DescriptionCompany Overview:Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises — from New York City’s yellow fever outbreak in 1822, to the COVID-19 pandemic — we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and racial and social justice work, among others. Job Summary:The Bureau of Data Technology and Strategy seeks a Data Science Associate to provide technical support for the application of data science to study public health outcomes and solutions. The Data Science Associate will engage in the implementation of AI/ML research tools, bringing in-house solutions to scale, and adapting developed technologies to new use cases. Problem-solving and stakeholder engagement skills will be applied in the public health setting to facilitate research, advanced analytics, and operations. The Data Science Associate will regularly interface with data engineers, data product developers, and data governance staff to integrate and maintain novel solutions into an enterprise data platform. The Data Science Associate will provide technical assistance to Agency users to promote and maintain the use of AI/ML technology solutions. The Data Science Associate will also provide support to the Senior Research Data Scientist for proposal development including technical advisement on analytic approaches and methods, technology resource requirements, timelines, and intended outputs. The successful candidate will be situated within a values-driven and highly collaborative work unit with strong technical and professional mentorship; professional development opportunities will be continuously available. This position will be within the Health Department’s innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data tobe accessible, timely, equitable, meaningfully usable, and protected – and being actively to protect and promote health and wellbeing of New Yorkers. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work be supervised by DOHMH. This position will be based at the Health Department’s office in Long Island City, NY, with the possibility of hybrid work. Responsibilities: • Support research that strengthens public health insights and actions through the use of data scientific methods, especially reusable, scalable AI/ML methods, • Identify and/or assist development of AI/ML methods and/or practices; promote them to agency’s data analysts, data engineers, data scientists, and researchers through trainings and/or reports, • Contribute to development of health equity-focused data products, • Collaborate with CPHDS data engineers, product developers, product managers, and researchers to develop and launch public health analytic solutions for the Agency and the public health community at-large, • Collaborate with internal and external researchers and analysts for various research projects, • Author reports, presentations, and scientific papers based on analyses Qualifications:, • A minimum of 2 years of work experience in statistical learning development, with some work experience in the development of deep learning algorithms, • High fluency in the Python programming language is required, with proficiency in one of the deep-learning frameworks PyTorch or Tensorflow, • Experience in virtualization technology, particularly with working experience in cloud environments (e.g., Azure, GCP, AWS, Databricks), • Experience in the development and deployment of foundation models, • Advanced knowledge and experience in data wrangling, analysis, and visualization, • Knowledge of public health research and operations, including health equity, • Experience developing user interfaces and dashboards, working with geospatial data a plus, • Ability to work with staff at all levels and to communicate complex technical knowledge in language that is understood at every level, • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties., • This individual will be expected to work non-business hours during emergencies., • This is a temporary grant-funded position ending in November 2027 At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday Hybrid 35 Hours Per Week

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Software Engineer (Data) in our New York office. About the Role: As a Software Engineer (Data) on the Identity & Ecosystem team, your mission will be to continually optimize Applecart's core targeting capabilities. You will join a colocated, hybrid-remote team of skilled and collaborative software engineers dedicated to the continuous delivery of business value. Who You Are You are a solid, adaptable data engineer who thrives in an ambitious startup environment. You are enthusiastic about data engineering and have a passion on building data intensive applications.You enjoy tackling complex technical challenges and are comfortable working across different areas of the stack. You are a strong collaborator, working effectively with engineers, product teams, and non-technical stakeholders. You take pride in writing clean, well-structured code and continuously seek ways to improve development practices. What You'll Do • Design and implement the identity resolution system., • Design and develop data processing pipelines and services that are resilient, highly available and scalable., • B.S. or M.S. in Computer Science, Data Science, or equivalent engineering degree., • 3+ years of experience in data engineering, focusing on the design, implementation, and maintenance of data and data pipelines., • Proficiency in Python or Java, • Experience with data warehouse systems (e.g. Snowflake), • In-depth knowledge of engineering methodologies and concepts., • Experience with building & deploying machine learning models & ML pipelines such as Sklearn, Tensorflow, PyTorch, KubeFlow, MLFlow, SageMaker, or similar., • Familiarity with data engineering tools (e.g., Apache Spark), • Experience with AWS and other cloud technologies including AWS services, such as EMR, Athena, Glue, S3, Kinesis, Lambda, and Sage Maker, • Experience with data transformation & ELT pipelines on large data sets using Databricks, SnowFlake, SQL, Python, Jupyter Notebooks., • Experience with the Lakehouse architecture is a strong plus, • Experience in defining and implementing Generative AI use cases is a strong plus. This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $130,000 - $160,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionNote: This position is open to remote applicants based in the US only.Job Title: Software Engineer (Data Platform)Location:& Remote. United States ONLY.Employment Type:& Salaried W2 Full-Time.Salary: $125,000 - $200,000About the company We represent a rapidly growing data company in NYC that’s redefining how real-world assets are represented and traded on public blockchains. Their platform serves investors, issuers, and financial institutions by providing reliable analytics, market intelligence, and transparent data on tokenized assets across the globe. They’re trusted by leading players in finance and blockchain for their accuracy, scale, and forward-thinking approach to digital asset infrastructure. It’s an exciting opportunity to join a team that’s helping shape the future of real-world asset tokenization and build technology that’s changing how the financial world connects. Responsibilities * Build and scale core data systems and APIs that serve product-level analytics * Collaborate with application engineers to ensure clean data flow between backend systems and end-user features * Develop and optimize data pipelines using PySpark and Databricks * Work closely with the lead data engineer on system architecture and data infrastructure design * Participate in system design discussions focused on scalability, performance, and maintainability * Contribute to the full software development lifecycle, from design through deployment * Support product and engineering teams by turning raw data into usable insights & Ideal Background * 4 to 5+ years of software engineering experience, preferably focused on large-scale data systems * Strong proficiency in Python and experience with PySpark * Experience with distributed frameworks such as Apache Spark, Beam, Flink, or Kafka Streams * Proven ability to design, build, and maintain production-grade data pipelines and APIs * Background in computer science, computer engineering, applied mathematics, or a related field (top 50 university or equivalent rigor preferred) * Experience working on data-driven products rather than internal BI or reporting systems * Strong communication skills and the ability to explain technical tradeoffs clearly * High attention to detail, ownership mindset, and a passion for building high-quality systems Nice to Have * Experience in fintech, blockchain, or other data-intensive environments * Hands-on experience with Databricks or real-time streaming data systems * Demonstrated curiosity and craftsmanship through side projects or open-source work

Job DescriptionAbout the CompanyCompany Size: < !0 PeopleIndustry: Agentic AI, Automation, Enterprise SoftwareFounding Year: 2023Stage: Early-Stage StartupTech Stack: Python, AWS, Kubernetes, Terraform,and other leading tools This early-stage team is building the foundation for enterprise AI—deploying autonomous agents that deliver specialized services with human-level quality. Founded by builders from companies like Google, Databricks, and Canva, they’re moving fast to turn ambitious ideas into real-world systems. As one of the first backend/infra engineers, you’ll design and build the systems that make enterprise AI deployments reliable, scalable, and secure. From APIs to authentication to metering and observability, you’ll have huge ownership over the technical architecture that supports mission-critical AI services. This is a high-impact, zero-to-one role where you’ll define foundational systems while staying deeply hands-on.What You’ll Tackle: • Architect and build backend systems, APIs, and infrastructure that power enterprise-grade AI agents., • Lead projects across authentication, observability, metering, billing, and metadata systems., • Own infrastructure automation (IaC), Kubernetes-based deployments, and CI/CD pipelines., • Design backend solutions with an eye toward reliability, security, scalability, and high performance., • Collaborate closely with platform engineers, solutions architects, and product teams to deliver cohesive systems at scale.What You'll Bring:, • 6+ years building and scaling backend systems and infrastructure, ideally for enterprise SaaS or AI products., • Deep experience with cloud platforms (AWS preferred), Kubernetes, Terraform (or similar), and CI/CD systems., • Strong backend development experience in Python (or similar languages)., • A track record of designing secure, reliable APIs and distributed systems., • High ownership mindset—comfortable architecting systems and getting your hands dirty building them., • Based in or willing to work onsite with the team in NYC.Why You’ll Want to Join:, • Founding seat at a venture-backed, mission-driven AI company., • Directly shape the architecture and infrastructure from the ground up., • Work alongside builders from top companies like Google and Databricks in a tight, fast-moving team., • Tackle complex, real-world scaling challenges—not just prototypes.

Job Description Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US and Europe. We currently have a multiple, re-extendable, long term contract roles as a Senior Data Consultant - Hydro with our consulting client, working on a project team involved with a large Canadian hydro company. This is a 12 month contract initially, but will be extended long term. Role: Senior Data Consultant - Hydro Type: Contract of Roles: 1 Duration: 12 months to start + extensions Location: Remote - Ottawa, ON Rate: Open based on expectations as a C2C contractor Contract Details: This is a contract position, with the end client being located in Ottawa, ON. The contract duration is longterm and will depend on the specific project requirements. As a contractor, you will have the flexibility to work remotely or on-site. Compensation will be based on experience and discussed during the interview process. If you are a highly skilled data consultant with a passion for the hydro industry and a desire to work with cutting-edge technology, we encourage you to apply for this exciting opportunity. Join our dynamic team at Software International and help us drive positive change in the hydro industry. Job Description: We are currently seeking a Senior Data Consultant - Hydro to join our clients' team on a long term contract basis. As a Senior Data Consultant - Hydro, you will be responsible for providing expert data analysis and consulting services to a hydro client in Ottawa, ON. You will work closely with our client to understand their business needs and provide them with data-driven solutions that help them achieve their goals. Key Responsibilities: • Collaborate with clients to understand their business objectives and data requirements, • Analyze and interpret complex data sets to identify trends, patterns, and insights, • Develop data models and visualizations to present findings and recommendations to clients, • Working on bringing data into an existing data lake, • Work with cross-functional teams to implement data solutions and ensure their effectiveness, • Stay up-to-date with industry trends and advancements in data analysis and technology, • Provide guidance and support to junior data consultants on the team Qualifications: • Experience working with data and clients in the hydro or energy industry is mandatory, • Minimum of 5 years of experience in data analysis and consulting, • Prior working experience with Snowflake, Azure Databricks and Oracle, • Strong knowledge of data analysis techniques and tools, such as SQL, Python, and Tableau, • Experience wokring with data coming from Connexo is a plus, • Excellent communication and presentation skills, • Ability to work independently and manage multiple projects simultaneously, • Strong problem-solving and critical thinking skills