Job description

Sidecar Health is redefining health insurance. Our mission is to make excellent healthcare affordable and accessible for everyone. We know that to accomplish this lofty mission, we need driven people who will make things happen. The passionate people who make up Sidecar Health’s team come from all over, with backgrounds as tech leaders, policy makers, healthcare professionals, and beyond. And they all have one thing in common—the desire to fix a broken system and make it more personalized, affordable, and transparent. If you want to use your talents to transform healthcare in the United States, come join us! About the Role 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. What You'll Do 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 What You Bring 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 Nice to Have Snowflake Cortex, CoWork agents, or other LLM-based tooling Working knowledge of statistics and experimentation Healthcare, claims, or insurance background; HIPAA familiarity Python for pipelines or lightweight applications Fivetran or other ELT experience, including troubleshooting sync and CDC issues Tableau or other BI tools What You'll Get 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.

Requirements

Must-haves

If you want to use your talents to transform healthcare in the United States, come join us!
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

Nice-to-haves

Snowflake Cortex, CoWork agents, or other LLM-based tooling
Working knowledge of statistics and experimentation
Healthcare, claims, or insurance background; HIPAA familiarity
Python for pipelines or lightweight applications
Fivetran or other ELT experience, including troubleshooting sync and CDC issues
Tableau or other BI tools
What You'll Get
Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401k