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Staff Analytics Engineer
Remote Analytics Engineering role with clear candidate location fit.
PostedJul 18, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Staff Analytics Engineer
Requirements and responsibilities
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A day in the life (Responsibilities)
- Collaborate with domain teams to implement a hub & spoke data architecture
- Develop the core Analytics layer in our data warehouse that serves as the hub, defining complex business logic in SQL and supplying relevant business context
- Build an AI-ready semantic layer that is extendable across business domains
- Partner with business stakeholders and our product team to understand their data analytics needs, and ensure those needs are met by our Analytics layer
- Work closely with the data engineering team to ensure scalability across the platform
- Provide technical mentorship and leadership to team members
What you'll need to thrive (Requirements)
- 6+ years experience in Business Intelligence, Analytics, and/or Data Engineering roles.
- 4+ years experience with developing data modeling strategies.
- 3+ years experience developing in dbt.
- Highly proficient in SQL. You can interpret and optimize queries, for performance, written by other analysts and engineers.
- Thrive in a fast-paced work environment and comfortable operating under ambiguity. You are up to the challenge of designing standards and best practices from the ground up, and love collaborating with colleagues to solve complex problems.
- Bachelor's degree in an advanced quantitative field (or equivalent experience); such as mathematics, economics/finance, computer science, or physical science.
What you'll need to thrive (Requirements)
- Experience with Airflow
- Experience with Sigma, Hex, and/or other BI dashboard tools
- Experience in cloud-based data warehouses, specifically Snowflake.
- Experience with Python is a plus
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