Senior Analytics Engineer

Underdog Sports

131d • $160,000 - $190,000

About The Position

At Underdog, data is at the core of every decision we make — from scaling our products to delighting our users. As a 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.

Requirements

• 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.

Nice To Haves

• 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).

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level