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Senior Analytics Engineer

Underdogfantasy
10 days ago
Full-time
Remote
Worldwide
Remote Data

At Underdog, we make sports more fun.

Our thesis is simple: build the best products and we’ll build the biggest company in the space, because there’s so much more to be built for sports fans. We’re just over five years in, and we’re one of the fastest-growing sports companies ever, most recently valued at $1.3B. And it’s still the early days.

We’ve built and scaled multiple games and products across fantasy sports, sports betting, and prediction markets, all united in one seamless, simple, easy to use, intuitive and fun app. 

Underdog isn’t for everyone. One of our core values is give a sh*t. The people who win here are the ones who care, push, and perform. If that’s you, come join us.

Winning as an Underdog is more fun.

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.

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,