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# Analytics Engineer

- **Company:** Sidecar Health, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $130,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Data Analysis, ARM Architecture, Code Generation, Information Engineering, Data Infrastructure, Statistical Hypothesis Testing, Python (Programming Language), Raw Data, Standard Sql, SQL Databases, Tableau (Software), Large Language Models, Snowflake, AI Coding Agents, Build Management, Information Technology, Web3.js, Claude, Semantic Modeling
- **Published:** October 13, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/staff-data-analytics-engineer/11627696

## About the Role

* 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

## Description

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, Own and evolve Afresh's analytics platform, including data architecture, dimensional models, semantic-layer metrics, pipelines, data quality, governance, and AI-assisted analytics tooling. Collaborate with data, product, engineering, and operations teams to support internal and customer-facing data products. Lead high-impact projects, optimize billion-row datasets, establish reliable analytics practices, and mentor other engineers.
Top Skills: AirflowAstronomerBigQueryCube.DevDagsterDatabricksDatabricks Metrics ViewsDbtDbt MetricflowLookmlSnowflakeSQL
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