Senior Data Engineer at StubHub | New York, NY

Join StubHub, a leader in redefining the live event experience on a global level. From first-time attendees to seasoned concertgoers, we strive to enhance every ticketing journey, ensuring our platform is the safest and most convenient for fans and sellers alike, whether they are individuals selling a single ticket or promoters orchestrating a global stadium tour.We are on the lookout for a skilled Senior Data Engineer to become an integral part of our Data team. In this capacity, you will design and implement the foundational systems and pipelines necessary for centralizing both StubHub’s internal data and third-party data sources. Our mission is to empower company-wide organizations to leverage data for analysis, reporting, new product innovation, experimentation, and machine learning. Your responsibilities will include developing the core infrastructure for our data lake and data warehouse, creating essential data models and pipelines, and crafting shared tools to facilitate the generation of high-quality, trustworthy data assets.As a Senior Data Engineer within the Data Platform team, your contributions will be pivotal in shaping core infrastructure, frameworks, and analytical data layers. You will also help define a culture of excellence in data engineering and mentor team members to achieve these standards. We seek a candidate who is not only passionate about the synergy between data and software development fundamentals but also capable of employing these principles to build a data ecosystem that is principled, maintainable, and scalable in alignment with StubHub's rapid growth. You will develop expertise in specific business domains, proactively anticipating the needs of those verticals.Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA

At StubHub, we are dedicated to transforming the global live event experience. Our mission is to ensure that every fan—from those attending their first event to seasoned concert-goers—enjoys a seamless journey, starting with ticket discovery and continuing all the way through to the event itself. We also strive to provide a secure and hassle-free platform for sellers, ranging from individual fans to large-scale promoters, to connect with millions of event enthusiasts worldwide.The Consumer Experience (CX) team at StubHub is charged with enhancing the entire product journey for fans as they discover, purchase, and sell tickets for their favorite live events across both web and mobile platforms.As the Senior Product Designer for Consumer Experience, you will play a pivotal role in evolving core user flows, pioneering innovative strategies, and establishing a vision for how millions engage with StubHub daily. Collaborating closely with product and engineering leaders, you will help define key priorities, transform strategic ideas into outstanding user experiences, and elevate our design standards. Beyond your design contributions, you will be integral in nurturing our design culture by advocating for user-centered design principles, exemplifying design excellence, and fostering a collaborative environment that empowers our team to excel.If you are passionate about crafting exceptional user experiences and eager to join a team that is reimagining the landscape of live events, we invite you to connect with us.

At StubHub, we are dedicated to transforming the live event experience on a global scale. Our mission is to ensure that whether someone is attending their first event or their hundredth, we provide unmatched delight from the moment they start searching for tickets until they step through the gate. We equally prioritize our sellers, from fans offering a single ticket to promoters of worldwide stadium tours, making StubHub the safest and most convenient platform for millions of fans across the globe.The Data Science team, a vital part of the broader StubHub Data organization, is seeking a seasoned and dynamic Data Science Manager to lead a growing team (currently consisting of 6 members, spanning from entry-level data scientists to senior staff) across diverse data science disciplines.As the largest secondary ticketing marketplace worldwide, StubHub generates vast amounts of consumer data, which we utilize to address unique and compelling predictive and inferential challenges in user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. In your role as Data Science Manager, you will collaborate closely with business leaders to translate their long-term strategic goals into actionable machine learning projects executed by your team on a daily basis. Your ability to provide technical oversight while fostering individual growth will be crucial to your team's long-term success.Your responsibilities will also encompass the technical and personal development of your team members, enhancing talent density through targeted mentorship, strategic career development, and excellence in execution. You will need to plan for team structure and growth as we invest more in machine learning, particularly in understanding optimal methods for building and applying generative AI solutions within our products.Joining at a pivotal moment for the Data Science practice and the company, you will play an essential role in shaping our future. While the value of this discipline is well-established and we have a high-performing team in place, we are not at a steady state. Key investment areas include establishing new depths of technical expertise (e.g., causal inference, graph ML), advocating for top-tier ML tools/platforms, and broadening the integration of data science across the organization. As a senior leader in this team, you will be instrumental in shaping and realizing this vision.

At StubHub, we are dedicated to transforming the global live event experience. Whether it's a person's first concert or their hundredth game, we strive to provide exceptional service from the very first ticket search to the moment they enter the venue. Our commitment extends to sellers as well, ensuring that whether a fan is selling a single ticket or a promoter is managing a large stadium tour, StubHub remains the most secure and user-friendly platform available to millions of fans worldwide.We are in the process of rebuilding our data foundation from the ground up, and we are seeking aSenior Analytics Engineer who excels at the intersection of data infrastructure, business strategy, and collaborative teamwork. If you are passionate about owning essential systems that will drive pricing, personalization, experimentation, and more—this opportunity is for you.

Join Camber as a Senior Data Engineer and play a pivotal role in transforming our data architecture! You will be responsible for designing, developing, and maintaining our data pipelines and systems. Collaborate with cross-functional teams to ensure the reliability and scalability of data solutions while adopting best practices in data management.

At StubHub, we are on an ambitious journey to revolutionize the live event experience globally. Whether it's a fan's first event or their hundredth, we aim to provide an exceptional experience from the ticket search to the entry gate. We extend the same level of care to our sellers, ensuring that StubHub remains the most secure and convenient marketplace for everyone, from casual fans to global promoters.About the OpportunityWe are in search of a driven and strategic Senior User Experience Researcher to spearhead crucial research initiatives that will influence how fans discover, purchase, and sell tickets on StubHub. Our goal is to establish StubHub as the premier destination for live events, delivering a seamless user experience that anticipates customer needs before they arise. As the Senior User Experience Researcher, you will play a pivotal role in ensuring that user insights guide all our decisions.

Verve for Advertisers develops technology that helps brands and agencies reach audiences at meaningful moments and measure results across multiple devices. The company’s demand-side platform draws from one of the largest sources of on-site search intent data available outside of major closed ecosystems. Verve partners through direct SDK integrations with leading apps and maintains data relationships with over 3 million websites and large language models. This foundation enables the tracking of consumer actions and motivations, supporting accurate audience insights and activation across top-tier omnichannel platforms. Role overview This Data Engineer position is based in New York, NY, and is part of Verve’s engineering team. The role is full-time and supports both ongoing and new projects. On-site work at the NYC headquarters is available. What you will do Help design, build, and maintain data systems that drive Verve’s products and audience insights. Work with large-scale datasets to deliver analytics and activation tools for audience engagement. Collaborate with fellow engineers and cross-functional teams to support new features and expand data partnerships. Requirements Legal authorization to work in the United States is required. Only candidates meeting this criterion will be considered. Interest in working on data-driven advertising technology. Ability to work on-site in New York, NY if needed.

Role overview The Senior Data Engineer at NBCUniversal Media, LLC plays a key part in developing and maintaining data solutions that power analytics and business intelligence throughout the organization. Based in New York, this position collaborates with teams from various departments to ensure that data remains accurate, accessible, and prepared for analysis. What you will do Design and build data pipelines and systems that meet analytics requirements Collaborate with cross-functional teams to uphold strong data quality and availability standards Apply modern technologies to streamline and automate data processing workflows

Join Metropolis as a Senior Data Engineer, where you will play a pivotal role in transforming our data infrastructure. You will collaborate with a dynamic team to design, implement, and maintain scalable data pipelines that empower data-driven decision-making across the organization. Your expertise will be crucial in optimizing data processes and ensuring data quality.

Polymarket operates the world’s largest prediction market platform, letting people trade on the outcomes of events in politics, economics, sports, culture, and current affairs. As a decentralized peer-to-peer marketplace, Polymarket aggregates diverse perspectives into transparent, market-based probabilities, reflecting collective expectations about the future. With $21B traded in 2025, Polymarket is growing quickly and aims to become a trusted source of truth in global media. The Senior Data Engineer role centers on advancing the data platform that underpins every user-facing aspect of Polymarket. The data layer supports features like leaderboards, PnL, activity feeds, positions, and analytics, all with strict sub-100ms latency goals at crypto scale. This position is based in New York and joins a small, high-ownership team where engineers manage workflows end-to-end, not just follow a set roadmap. Role overview This role involves hands-on work in design, architecture, and delivery. The main goal is to strengthen Polymarket’s analytics and data serving layer so it becomes a reliable foundation for the company. The Senior Data Engineer will tackle issues such as schema drift, migration parity, latency regressions, and cost management. When questions arise about data layer performance or cost, this engineer will either provide answers or redesign components to meet targets. What you will do Own the OLAP analytics layer. Lead the columnar warehouse from raw event ingestion to cleaned facts, business aggregates, and API-serving views. Tasks include materialized view design, refresh schedules, catalog management, query planning, and cost optimization. Partner on the OLTP serving layer. Work with the team on high-write serving tables that power product APIs. Focus on partition strategy, indexing, trigger pipelines, autovacuum tuning, and bloat monitoring, while maintaining sub-100ms read path targets. Shape streaming and data lake infrastructure. Define Kafka topic schema contracts, update the S3 lake layout with modern table formats, and contribute to tools that validate data accuracy during migrations. Design data models at scale. Work with event-sourced, append-mostly data that includes chain-reorganization semantics.

The City of New York is hiring a Data Engineer to support essential data projects that inform city decisions and strengthen public services. This full-time role is based in New York City and centers on using data analytics to address challenges across city operations. Role overview As a Data Engineer, you will play a key part in initiatives that shape how the city uses information to make choices and deliver services. The work involves collaborating with a team focused on improving processes and outcomes for residents. What you will do Contribute to projects that gather, organize, and analyze data for city departments Help translate complex data into practical insights for decision-makers Work with colleagues to find solutions that enhance city operations and public services Location This position is based in New York City and requires full-time availability.

At Headway, we are on a transformative mission to revolutionize mental health care accessibility. Our innovative technology connects individuals with exceptional therapists through the first software-enabled national network of providers that accept insurance.In the United States, 1 in 4 individuals suffer from a treatable mental health condition, yet many providers do not accept insurance, creating financial barriers to therapy. We, at Headway, are committed to dismantling these barriers by simplifying the process for therapists to accept insurance and expand their practices.Founded in 2019, Headway has rapidly evolved into a diverse national network comprising over 60,000 mental health care providers across all 50 states, serving more than 1 million patients. As a Series D company with over $325 million in funding from esteemed investors such as a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures, and Health Care Service Corporation, we are poised for further growth.We strive to make your tenure here the most rewarding experience of your career. Join us in our endeavor to enhance mental health care for all.About Data Engineering at HeadwayWe are seeking a Staff Data Engineer to play a pivotal role in advancing our mission: delivering affordable, quality mental health care across the United States.The Data Engineering Team is the backbone of our data-driven organization, composed of a high-impact group of engineers dedicated to providing reliable, high-quality data assets at an enterprise scale. Our focus is on transforming raw data into actionable business intelligence through robust ETL/ELT pipelines, sophisticated data modeling, and stringent data quality frameworks. Collaborating closely with Data Scientists, Analysts, and core Software Engineering teams, we ensure data integrity for every critical decision and product feature.About this RoleAs a Staff Data Engineer, you will assume the role of a hands-on technical leader, architect, and mentor, responsible for shaping the future of our data infrastructure. This position emphasizes establishing architectural direction, setting organization-wide data standards, and driving the design of scalable, optimized data models. You will lead complex, cross-functional projects focusing on data quality governance and the enhancement of our data pipelines. Your influence will extend to technology choices, mentoring fellow engineers, and acting as the primary technical liaison between various teams.

Uncommon Schools is seeking a talented Senior Data Engineer to join our dynamic team in New York. In this role, you will leverage your expertise in data engineering to build robust and scalable data solutions that drive impactful decisions across our organization. You will work closely with cross-functional teams to understand their data needs and deliver innovative solutions that enhance our educational initiatives.

Flatiron Health is building a connected oncology ecosystem to transform cancer care. The team values integrity and personal growth, and works to modernize cancer care infrastructure from its New York office. Role Overview The Senior Data Engineer will help advance Flatiron Health’s mission: improving and extending lives by learning from every person affected by cancer. This position centers on designing and building data pipeline frameworks and technologies, working closely with software engineering teams in New York. The role also collaborates with colleagues in the UK, Germany, and Japan, and partners with oncologists, clinicians, product leaders, quantitative scientists, and clients to solve real-world challenges in cancer care. What You Will Do Design, build, and improve business-critical data pipelines using a range of data processing tools and automation methods. Implement ETL frameworks to ensure data products are reliable, high-quality, and comprehensive. Investigate ways to integrate new AI technologies with existing systems. Develop creative technical and business solutions to help the team scale. Help shape the team’s roadmap and contribute to technology decisions. Iterate quickly on products while following engineering practices that support stability, extensibility, and security. Build knowledge of the US healthcare landscape, including data sources, security, privacy, and information governance. Location This role is based in Flatiron Health’s New York office.

About GovWellAt GovWell, we believe in a government that works efficiently for its citizens. Our mission is to revolutionize the way local agencies deliver services through an innovative AI operating system.By replacing outdated software, GovWell empowers municipalities and counties to significantly enhance public service delivery, reducing processing times for permits and licenses by as much as 90%.Since our founding in 2023, we have successfully facilitated over 5,000 essential processes for agencies across more than 30 states, impacting millions of residents. Backed by $10 million in seed funding from Work-Bench and Bienville Capital, our dedicated team operates from our headquarters in New York City. Discover more about our journey in TechCrunch. Why Join Us?Meaningful Mission: Be part of a transformative movement that leverages AI to enhance outdated government systems, ensuring that tax dollars translate into high-quality public services. WATCH: Mission & Vision with CEO & Co-Founder Troy LeCaireImmediate Impact: Your contributions will directly affect millions of Americans by optimizing government services, from simplifying small business permits to expediting affordable housing projects.Thriving Startup Environment: As a rapidly growing company (with a 4X ARR increase last year), you will gain invaluable experience in building a successful startup, working closely with our founders and enjoying significant autonomy and ownership. Role OverviewWe are seeking a passionate Data Solutions Engineer to facilitate the transition from legacy systems to our modern software platform. You will manage customer data migrations and GIS onboarding, collaborating with government teams to map schemas, validate data, and ensure seamless integration into GovWell’s platform.

Join Our Team as a Senior Data Engineer!Are you ready to take your career to the next level? FanDuel is seeking a Senior Data Engineer who will be instrumental in designing and building scalable, reliable, and high-performance data solutions that fuel analytics, machine learning, and business operations. As a hands-on contributor, you will play a significant role in establishing the core technical foundation of our data ecosystem.You will collaborate with a diverse team of engineers, analysts, product managers, and data scientists to create data pipelines and platforms that lead to impactful business results. The ideal candidate possesses excellent problem-solving abilities, is a strong team player, and brings both technical expertise and a collaborative spirit to every challenge.If you're excited about the prospect of working in a dynamic environment and tackling innovative challenges, we want to hear from you!Key Responsibilities:Build & Maintain Data Infrastructure: Design, develop, and maintain scalable ETL/ELT pipelines to support various data products and operational systems. Work with large-scale, complex datasets ensuring data cleanliness, proper modeling, and accessibility across the organization.Deliver High-Quality, Reusable Solutions: Create modular, reusable data models and assets utilizing tools like Spark, dbt, or similar frameworks. Collaborate with stakeholders to transform business needs into reliable, production-ready data solutions while ensuring data quality and consistency.Contribute to Engineering Excellence: Advocate for software engineering best practices, including testing, version control, documentation, and code reviews. Engage in technical design discussions and architecture reviews, helping to evolve our data platform for improved performance and scalability.Collaborate & Communicate: Partner closely with data scientists, analysts, and product managers to ensure alignment and drive solutions that meet business objectives.

Flywheel Digital supports global brands by delivering digital commerce solutions and near real-time performance metrics. Teams span the Americas, Europe, and APAC, working to help clients improve sales, market share, and profitability. The Omni Platform Group (OPG) is hiring a Senior Data Engineer for its technology team in Jersey City. This role centers on developing Omni products using cloud-based data architectures. The work combines hands-on technical architecture, software design, and product development, along with research into new technologies. This position is based out of the Jersey City office. What you will do Manage data and computing environments to maximize the value of data assets. Design, build, test, and deploy scalable systems that process large datasets and can be reused across projects. Lead and mentor a small group of developers. Conduct code reviews and offer guidance to junior developers. Stay up to date with new technologies and help the team learn about emerging tools and methods. Requirements Proven skill in designing and managing data workflows. Experience building systems and APIs for data integration.

At Forge Global, we recognize that our team is our most valuable asset. As pioneers in technology within the private market, our mission is to create a brighter future for all. We embody this vision through our core values of boldness, accountability, and humility. Daily, we witness the transformative impact of our vision, supporting teams behind the most groundbreaking innovations of our era, spanning space exploration to artificial intelligence, and beyond.With our comprehensive liquidity solutions, insightful data analytics, custody offerings, and dynamic marketplace, Forge aims to establish a cutting-edge technology infrastructure that facilitates a global private market—one that is transparent, accessible, and seamless for companies, their employees, and investors. Our platform empowers employees to liquidate their private shares, enables employers to provide pre-IPO liquidity to shareholders, and allows both individual and institutional investors to engage in the growth of private unicorns.Forge's unique global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, fostering a growing network effect.Our capacity to deliver these impactful financial solutions has sparked remarkable interest from investors and heightened demand from clients, prompting our need to expand our team to better serve more companies, teams, and innovators.

Trexquant is hiring a Senior Data Architect to lead the creation of a new data platform for quantitative research and simulation. This role centers on building a scalable system that unifies data from hundreds of vendors, ensuring reliable and accessible information for research and alpha generation across multiple asset classes. Key Responsibilities Design and implement a data platform that consolidates vendor datasets, offering consistent, high-quality access for research and simulation teams. Develop storage and retrieval solutions to support large-scale historical backtesting and high-frequency research. Create user-friendly interfaces and APIs, enabling researchers to discover variables, review metadata, and assemble standardized datasets for rapid idea testing. Work closely with quantitative researchers and simulation teams to understand their requirements and ensure the platform meets analytical and performance needs. Set standards for data modeling, normalization, version control, and quality assurance across diverse asset classes and sources. Partner with infrastructure and DevOps teams to enhance data pipelines, caching, and distributed storage for improved scalability and reliability. Prototype and launch internal tools that improve research efficiency and data transparency. Mentor data engineers, supporting well-documented and maintainable data systems. Platform Scope The platform will handle data for a broad range of financial instruments, including equities, futures, FX, ETFs, corporate bonds, and options. The focus is on transforming raw vendor feeds into structured, analysis-ready datasets that enable systematic research and backtesting. Location This position is based in New York, New York, United States.

Join our dynamic team at Camber as a Senior Software Engineer specializing in Data. In this pivotal role, you will be responsible for designing, developing, and optimizing data-driven applications that enhance our core services and drive innovation. You will work on cutting-edge technologies and collaborate closely with cross-functional teams to deliver impactful solutions that meet our client’s needs.