Staff Data Analytics Engineer - Remote, Snowflake & AI

Sidecar Health, Inc.; Sacramento (CA); Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Equity package

Medical, Dental, Vision benefits

401k retirement plan

Job summary

Sidecar Health, Inc. is seeking a Staff Data Analytics Engineer to build the data foundation for product teams in a Snowflake-first stack.

You will design data models, pipelines, and metrics, with AI tools like Claude and Snowflake Cortex to move faster while ensuring data quality and privacy in a regulated healthcare setting. You will embed with Product and own end-to-end data from raw to trusted metrics, collaborating with Engineering and Product to turn roadmaps into measurable outcomes.

Qualifications

• 6+ years of experience in analytics or data engineering, 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.
• 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.

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.

Skills

Analytics

SQL

dbt

Data modeling

Communication

Team collaboration

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, Economics or related field

Tools

Snowflake

Claude

CoWork

Python

BI tools/Tableau

Job description

Sidecar Health, Inc. is seeking a Staff Data Analytics Engineer to build the data foundation for product teams in a Snowflake-first stack.

You will design data models, pipelines, and metrics, with AI tools like Claude and Snowflake Cortex to move faster while ensuring data quality and privacy in a regulated healthcare setting. You will embed with Product and own end-to-end data from raw to trusted metrics, collaborating with Engineering and Product to turn roadmaps into measurable outcomes.