Senior Analytics Engineer

**, you'll be a cornerstone of our data foundation. You won't just be building pipelines; you'll be architecting the models and metrics that power everything from executive dashboards to product experiments. This is a high-impact role where your work will directly influence business strategy, growth, and product innovation.
About the role

• Build and maintain core dbt data models that turn raw data into clean, trusted, analysis-ready assets (e.g., User 360, Contest Fact, Marketing Attribution).
• Implement and manage a semantic layer (dbt MetricFlow, Omni, or equivalent) to standardize definitions of key metrics across the company.
• Own data quality and reliability, setting up automated testing, monitoring, and alerting frameworks.
• Collaborate with analysts and data scientists across Product, Marketing, Finance, and Ops to understand needs and deliver data models that scale.
• Contribute to self-service analytics enablement by making models discoverable in tools like Omni, Hex, and Sigma, and building user-friendly dashboards and explores.
• Champion software engineering best practices in analytics: Git workflows, code review, CI/CD for dbt, and reusable SQL patterns.
• Document business logic and metric definitions in a central data catalog, ensuring clarity and consistency.

Who you are

• SQL and data modeling expert, with 4+ years in analytics engineering, BI, or related data roles.
• Skilled in dbt and modern cloud data warehouses (Snowflake, BigQuery, Databricks).
• Experienced with semantic layers and BI tools (Omni, Looker, Sigma, Hex) to drive metric consistency.
• Comfortable with orchestration tools (Airflow, Dagster, Prefect) and Git-based workflows.
• Detail-oriented with a passion for data quality and reliability.
• Strong communicator who can translate complex data models into clear, actionable insights for technical and non-technical partners.
• Collaborative teammate with a bias for action, comfortable in a fast-paced startup environment.

Even better if you have

• Experience in the sports, fantasy, or gaming industry.

• Background in real-time or streaming analytics.

• Contributions to the dbt community or open-source analytics projects.

• Familiarity with data observability platforms (Monte Carlo, Elementary).

Our target starting base salary range for this position is between $160,000 and $190,000, plus target equity. The starting base salary will depend on a number of factors including the candidate's skills and experience, among other things.
What we can offer you:

• Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)

• 16 weeks of fully paid parental leave

• Home office stipend

• A connected virtual first culture with a highly engaged distributed workforce

• 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents

#LI-REMOTE

This position may require sports betting licensure based on certain state regulations.

Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.