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.
Skills Required
- 6+ years of experience in analytics, 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
- Experience building data quality tests and monitoring
- Experience working with product teams to define metrics and scope ambiguous problems
- Fluency with AI coding tools such as Claude, including validating AI-generated code
- Experience working in a regulated environment with privacy and compliance requirements
- Strong communication skills with technical and non-technical partners
- 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
Sidecar Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sidecar Health and has not been reviewed or approved by Sidecar Health.
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Fair & Transparent Compensation — Feedback suggests pay is competitive for some specialized roles such as engineering and product, with salaries aligning to typical startup tech markets. Some postings and summaries describe compensation packages as competitive, including equity and bonuses for certain functions.
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Healthcare Strength — Company materials and third-party summaries indicate comprehensive health benefits for employees, with medical, dental, and vision coverage and no waiting period cited in some sources. Benefits are framed as part of standard startup packages and referenced as strong for tech/product roles.
Sidecar Health Insights
What We Do
Sidecar Health is changing the health industry with modern, common-sense health insurance that finally gives consumers control over costs and choices. We are a passionate group of people-people on a mission to make quality healthcare affordable and accessible for everyone.
Why Work With Us
Being a growth-stage distributed startup, transparent and asynchronous communication is critical. We'll provide you with the resources and tools you need, and regularly seek your feedback through quarterly engagement pulses on what is or isn't working well.
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