[Hiring] Senior Analytics Engineer REMOTE USA
Position: Senior Analytics Engineer
Date Posted: 24 January 2026
Industry: Sports Technology / Gaming / Data & Analytics
Employment Type: Full Time
Experience: 4+ years of experience in analytics engineering, BI, or related data roles
Qualification: Estimated qualification such as Bachelor’s Degree holder in Data Analytics, Computer Science, Engineering, Mathematics, or equivalent professional experience
Salary: $160,000 – $190,000 / Year + equity
Location: United States – REMOTE
Company: Underdog
Description:
Underdog is redefining how sports fans engage with fantasy sports, sports betting, and prediction markets by building simple, intuitive, and highly engaging products. Just over five years into its journey, Underdog has become one of the fastest-growing sports technology companies, recently valued at $1.3B, with significant growth still ahead.
Data plays a central role in every decision at Underdog. As a Senior Analytics Engineer, you will be a key contributor to the company’s data foundation. This is a high-impact role where you will design and maintain the analytics models, metrics, and infrastructure that power executive reporting, product experimentation, and strategic decision-making.
About the Role:
- Design, build, and maintain core dbt data models that transform raw data into trusted, analysis-ready datasets such as User 360, Contest Fact, and Marketing Attribution
- Implement and manage a semantic layer using tools like dbt MetricFlow, Omni, or similar solutions to ensure consistent metric definitions across the organization
- Own data quality and reliability by setting up automated testing, monitoring, and alerting frameworks
- Partner with analysts and data scientists across Product, Marketing, Finance, and Operations to deliver scalable and high-quality data models
- Enable self-service analytics by making models accessible in platforms such as Omni, Hex, and Sigma, and by building intuitive dashboards and explores
- Promote software engineering best practices within analytics, including Git workflows, code reviews, CI/CD for dbt, and reusable SQL patterns
- Document business logic and metric definitions in a centralized data catalog to maintain clarity and consistency
Who You Are:
- Advanced SQL and data modeling professional with at least 4 years of experience in analytics engineering or related roles
- Hands-on experience with dbt and modern cloud data warehouses such as Snowflake, BigQuery, or Databricks
- Strong understanding of semantic layers and BI tools including Omni, Looker, Sigma, or Hex
- Familiar with orchestration tools like Airflow, Dagster, or Prefect, and comfortable working with Git-based workflows
- Highly detail-oriented with a strong focus on data quality and reliability
- Clear communicator capable of translating complex data models into actionable insights for both technical and non-technical stakeholders
- Collaborative team player who thrives in a fast-paced, remote-first startup environment
Nice to Have:
- Experience in sports, fantasy sports, or gaming industries
- Exposure to real-time or streaming analytics use cases
- Contributions to the dbt community or open-source analytics projects
- Familiarity with data observability tools such as Monte Carlo or Elementary
What Underdog Offers:
- Unlimited PTO with flexibility around key sports seasons
- 16 weeks of fully paid parental leave
- Home office stipend
- Remote-first culture with strong team connectivity
- 5% 401(k) match, FSA options, and company-paid medical, dental, and vision plans for employees and dependents
The role is fully remote, with team and company offsites held 2–3 times per year. Certain state regulations may require sports betting licensure for this position.
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