Staff Data Analytics Engineer

sidecarhealth; United States; Remote; USD 150,000 - 175,000; Full time

Benefits offered by this job

Equity

Bonus opportunity

Medical/Dental/Vision

Job summary

Sidecar Health is seeking an experienced Analytics Engineer to build the data foundation product teams rely on, spanning raw data to trusted metrics, including modeling, pipelines, and privacy controls for regulated environments.

You will work with product and engineering to shape data capture, establish data quality tests, and validate AI-generated code while ensuring privacy. Healthcare analytics and Snowflake/dbt experience are valued.

Qualifications

• 6+ years in analytics engineering, data engineering, or a related role creating models and pipelines.
• Strong SQL and dbt skills, including incremental models and testing, plus Snowflake experience with semantic modeling.
• Experience with data quality tests and monitoring, defining metrics with product teams, and solving ambiguous problems.

Responsibilities

• Develop and maintain dbt and semantic models in Snowflake for consistent product metrics.
• Build ingestion and transformation pipelines and coordinate with data engineering on standards.
• Collaborate with product and engineering to shape data capture and modeling for measurable features.
• Translate product goals into success metrics and analyze feature performance.

Skills

SQL

dbt modeling

Data modeling

Snowflake

AI code review

Communication

Education

Bachelor's degree in a technical field

Tools

dbt

Python

Job description

Role overview

Build the data foundation that product teams use to understand performance and make decisions. This individual contributor role spans the path from raw data to trusted metrics: modeling data, developing pipelines where needed, defining success measures, and improving data collection in a regulated healthcare environment.

Responsibilities

• Develop and maintain documented dbt and semantic models in Snowflake for consistent product metrics.
• Build ingestion and transformation pipelines as needed, coordinating with data engineering on shared infrastructure and standards.
• Work with product and engineering teams to shape data capture and modeling so new features can be measured from launch.
• Turn product goals and hypotheses into success metrics, analyze feature performance, and support experiment readouts.
• Find gaps in data collection and drive fixes with partner teams; document models, metrics, and design decisions.
• Use AI coding tools to speed up work, while reviewing and validating generated code and outputs; apply privacy controls and raise the quality of SQL and dbt work.

Requirements

• Six or more years in analytics engineering, data engineering, or a related role building models and pipelines.
• Strong SQL and dbt skills, including incremental models and testing, plus hands‑on Snowflake experience with semantic modeling.
• Experience establishing data quality tests and monitoring, and working with product teams to define metrics through ambiguous problems.
• Ability to use and validate AI‑generated code, and communicate effectively with technical and nontechnical partners.
• Comfort designing for regulated data environments, including privacy requirements and access controls.
• Bachelor’s degree in a relevant technical or quantitative field, or equivalent professional experience.

Nice to have

• Experience with Snowflake Cortex, agent tools, or other language‑model applications; Python; ELT systems; or BI tools.
• Knowledge of statistics and experimentation, or experience in healthcare, claims, insurance, or HIPAA‑related work.

Benefits and work setup

• Remote role for candidates based in California, Oregon, Washington, Utah, or Texas.
• Compensation includes salary, bonus opportunity, and equity; the stated salary range is $150,000–$175,000, with pay varying by location and experience.
• Medical, dental, and vision coverage, a retirement plan, paid vacation, and company holidays.