StubHub is hiring a Senior Analytics Engineer to thrive at the intersection of data infrastructure, business context, and cross-functional collaboration. You will own foundational systems that will power pricing, personalization, experimentation, and more, redefining the live event experience on a global scale.
What You'll Do
- Own the development of cross-functional data models, core business metrics, and self-service dashboards and 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.
- Support real-time and batch data workflows, data governance practices, and metadata and catalog tooling.
What We're Looking For
- 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 their equivalents.
- 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.
Nice to Have
- Familiarity with data governance, observability, and metadata management tools.
Technical Stack
- SQL, Python, Java, dbt, Airflow, Snowflake, BigQuery, Databricks, Looker, Tableau, Mode
Team & Environment
You'll be a force multiplier for the entire company, partnering with stakeholders across engineering, product, and business teams.
Benefits & Compensation
- Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, with 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.
- Comprehensive Benefits Package: 401k, and premium Health, Vision, and Dental Insurance options.
- Compensation: $200,000 - $300,000 USD + equity as part of the total compensation package.
Work Mode
This is a hybrid position open to candidates in New York, NY and Santa Monica, CA.
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.
