Sr. Analytics Engineer

5+ years of experience in analytics engineering, data analytics, or data modeling

Expert SQL skills and a track record building production-grade data models at cross-functional scale

Deep understanding of data warehousing, dimensional modeling, and semantic layer design

Experience with modern data stacks (Redshift, Snowflake, or similar) and the judgment to make architectural tradeoffs

Experience with Looker, Cube.js, or similar semantic layer / BI tooling at an architectural level

Familiarity with healthcare data, regulated environments, or compliance-adjacent data pipelines

You don't just build data models — you shape how data is defined, interpreted, and used across Pelago.

In this role, you'll drive how data is structured across the company, build the semantic foundations that teams rely on, and bring cross-functional clarity to ambiguous business problems.

Lead the analytics foundation

Architect and own scalable dbt model layers that serve analytics, experimentation, AI, and downstream ML workflows

Set the standard for transformation logic, documentation, and observability across the data stack

Drive performance, maintainability, and reliability of Pelago's transformation pipelines

Our Data team sits at the center of how Pelago makes decisions. As we scale, we're building a data function that doesn't just report on the business — it shapes it.

We transform complex healthcare and product data into clean, reliable, well-documented models that power reporting, experimentation, AI initiatives, and day-to-day decision-making across the company. The Senior Analytics Engineer is a key force multiplier on that mission.