Senior Data Engineer (New York)

Senior Data Engineer

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 are seeking a talented Senior Data Engineer to join StubHub's Data team. In this role you will be responsible for designing and building the underlying systems and pipelines for centralizing StubHub's internal plus third-party data. Our team's goal is to empower organizations across the company to transform data for analysis and reporting, new product development, experimentation, and machine learning. This includes developing the core infrastructure for the data lake and data warehouse, creating foundational data models and data pipelines, and building shared tooling to ease the process of creating high-quality, trustworthy data assets.

As a Senior Data Engineer on the Data Platform team, you will contribute to core infrastructure, frameworks, and analytical data layers. You will also play a key role in defining the culture and expectations of what great data engineering looks like, and mentoring others on the team to reach that bar. We are looking for the right person that is passionate about the power of both data and software development fundamentals, and can use them in tandem to create a data ecosystem that is principled, maintainable, and extensible to the hypergrowth happening at StubHub. You will specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical.

Location : Hybrid (3 days in office / 2 days remote) New York, NY or Santa Monica, CA

What You'll Do :

• Build and operate scalable data pipelines with robust QA, monitoring, and alerting
• Create shared tooling to improve data practitioner (data engineering, analytics engineering, data science) productivity and quality across the company
• Influence the direction for key infrastructure and framework choices for data pipelining and data management
• Contribute to core cross-functional data models
• Launch data platform features that have immediate impact on the velocity of innovation and ultimately growth of the business
• Manage individual initiativesSetting priorities, deadlines, and deliverables based on your technical expertise
• Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team
• Specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical

What You've Done :

What We Offer :

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 $200,000 - $300,000 USD

StubHub 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.

We 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.