Staff Data Analytics Engineer

Sidecar Health is hiring a Staff Data Analytics Engineer to build the data foundation that product teams rely on. The role owns data models, pipelines, product metrics, and data quality while incorporating privacy and compliance into analytics work.

Responsibilities:

• 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

Requirements:

• 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
• 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