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 streamline the creation of 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 who 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 those verticals. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, 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 initiatives—Setting 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: 7+ years of relevant development experience—in data platform or data engineering—in fast paced environments Very high SQL proficiency, with experience in both transactional RDBMS systems and distributed systems Strong programming and system design skills Experience designing and developing large-scale, efficient batch and streaming data processing Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights Experience mentoring, delegating to, and reviewing the work of junior team members Passion for great data end-user experience and stewardship Experience with: Data pipeline management and orchestration tools, such as Airflow Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift Batch processing systems, such as Spark What We Offer: 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 : E ... (truncated, view full listing at source)