Senior Analytics Engineer

Role Overview

Underdog is seeking a Senior Analytics Engineer to help build the data foundation that powers dashboards, metrics, and product experimentation. You’ll focus on turning raw data into trusted, analysis-ready assets and standardizing metric definitions across the company.

Responsibilities

• Build and maintain dbt data models that transform 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 key metric definitions.
• Own data quality and reliability by setting up automated testing, monitoring, and alerting.
• Collaborate cross-functionally with analysts and data scientists across Product, Marketing, Finance, and Ops to deliver scalable data models.
• Enable self-service analytics by making models discoverable in tools like Omni, Hex, and Sigma, and by building dashboards and explores.
• Apply analytics engineering best practices, including:
  • Git workflows and code review
  • CI/CD for dbt
  • reusable SQL patterns
• Document metric definitions and business logic in a central data catalog.

Requirements

• 4+ years in analytics engineering, BI, or related data roles.
• Strong SQL and data modeling expertise.
• Proficiency with dbt and modern cloud data warehouses (Snowflake, BigQuery, Databricks).
• Experience with semantic layers and BI/metrics tools (Omni, Looker, Sigma, Hex).
• Experience with orchestration tools (Airflow, Dagster, Prefect) and Git-based workflows.
• Detail-oriented with a focus on data quality and reliability.
• Strong communication skills for translating complex models for technical and non-technical partners.

Nice to Haves

• Experience in sports, fantasy, or gaming.
• Background in real-time/streaming analytics.
• Contributions to the dbt community or open-source analytics.
• Familiarity with data observability platforms (Monte Carlo, Elementary).