Staff Data Analytics Engineer

Sidecar Health’s Business Analytics team is looking for a Staff Data Analytics Engineer to build the data foundation our product teams rely on. You’ll embed with Product and own the path from raw data to a metric people trust: designing data models, building pipelines when needed, defining the metrics that show whether product work is succeeding, and closing gaps in the data we collect. You’ll work in a Snowflake-first stack and use AI tools like Claude and Snowflake Cortex to move faster, with the judgment to validate what they produce. Our data environment is complex but modest in volume, with limited history, so you can shape the data model early. We operate in a regulated healthcare setting where privacy and compliance are built into how we work.

This is an individual contributor role reporting to the Senior Director, Business Analytics. It is a remote position but candidates must be based in California, Oregon, Washington, Utah, or Texas.

Design, build, and maintain dbt models and semantic models in Snowflake that give product teams a reliable, well-documented view of key metrics

Build the pipelines behind those models when needed, from ingestion through transformation, and align with data engineering on shared infrastructure and standards

Build AI-ready data: semantic models, metric definitions, and documentation that let Cortex and CoWork agents answer business questions accurately

Guide data design decisions with Product and Engineering, including what data gets captured, how it’s structured, and how it’s modeled, so we can measure results from day one

Partner with product managers to turn roadmap goals and feature hypotheses into measurable success metrics

Identify gaps in data collection and drive them to resolution with Product and Engineering

Provide analysis to inform product decisions and evaluate feature performance, including occasional statistical work such as experiment readouts and significance testing

Use AI coding tools and Snowflake Cortex to speed up development, and review, test, and validate AI-generated code and outputs before they ship

Build compliance into your designs, including HIPAA considerations and role-based and row-level access controls

Review SQL, dbt, and AI-generated code for correctness, not just style, and raise the technical standard for the team

Document models, metric definitions, and design decisions so others can build on them

6+ years of experience in analytics or data engineering (or a closely related role), building and maintaining data models and pipelines

Bachelor’s Degree in Computer Science, Mathematics, Statistics, Economics, a related technical field, or equivalent professional experience

Strong SQL and dbt skills, including incremental models and testing

Hands-on Snowflake experience, including semantic modeling

Commitment to data quality, with experience building tests and monitoring that catch issues before stakeholders do

Experience working with product teams, ideally technical ones, to define metrics and scope ambiguous problems

Fluency with AI coding tools like Claude, with the judgment to use, build, and validate AI-generated code

Comfort working in a regulated environment with privacy and compliance requirements

The ownership and end-to-end thinking to see a problem from raw data to a metric someone trusts

Strong communication skills with technical and non-technical partners

Competitive salary, bonus opportunity, and equity package

Comprehensive Medical, Dental, and Vision benefits

A 401k retirement plan

Paid vacation and company holidays

Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S.

Sidecar Health is an Equal Opportunity employer committed to building a diverse team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.