Senior Data Engineer in Los Angeles

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 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 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 : Unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed. Comprehensive Benefits Package : 401k, and premium Health, Vision, and Dental Insurance options. Salary Range: $200,000—$250,000 USD. We are an equal opportunity employer and value our team. We do not discriminate on the basis of veteran status, or any other legally protected status. #J-18808-Ljbffr Energy Jobline ZR