Staff Data Analytics Engineer

Sidecar Health

. Design, build, and maintain dbt models and semantic models in Snowflake .

Posted 10/13/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data models and pipelines, with strong proficiency in SQL, dbt, and Snowflake. Capable of guiding data design decisions and collaborating with product teams to define metrics and ensure compliance in regulated environments.

Highest-signal resume keywords

SQL ExpertiseDbt Model DevelopmentSnowflake ExperienceAI Coding Tools FluencyData Quality Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingPipeline DevelopmentStatistical AnalysisIncremental ModelsMetric Definition

Soft Skills

Strong CommunicationCollaboration with Product TeamsProblem-Solving

Tools & Technologies

SnowflakeDbtAI Coding ToolsSQL

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in MathematicsBachelor’s Degree in StatisticsBachelor’s Degree in Economics

Industry Keywords

HIPAA ComplianceData EngineeringAnalyticsRegulated Environment

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Design, build, and maintain dbt models and semantic models in Snowflake
Build ingestion-through-transformation pipelines and align with data engineering on shared infrastructure and standards
Build AI-ready data, including semantic models, metric definitions, and documentation
Guide data design decisions with Product and Engineering
Partner with product managers to define measurable success metrics
Identify data collection gaps and drive resolution with Product and Engineering
Provide analysis for product decisions and evaluate feature performance
Conduct occasional statistical work, including experiment readouts and significance testing
Use AI coding tools and Snowflake Cortex to accelerate development, reviewing and validating generated code and outputs
Build HIPAA-aware designs with role-based and row-level access controls
Review SQL, dbt, and AI-generated code for correctness
Document models, metric definitions, and design decisions

Requirements

What you’ll need

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
Experience building data quality tests and monitoring
Experience working with product teams 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 from raw data to trusted metrics
Strong communication skills with technical and non-technical partners

Benefits

Comp & perks

Competitive salary
Bonus opportunity
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.