Staff Data Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Oregon, +3 more states – Remote

🏄 California – Remote 🌲 Oregon – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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Sidecar Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🏥 Healthcare

💼 Consulting

🛡️ Insurance

Healthcare • Consulting • Insurance

Sidecar Health is a health insurance company that provides comprehensive major medical insurance with upfront pricing and no network restrictions or referral requirements. Their goal is to put employees in control of their healthcare by giving them a clear budget for care and allowing them to choose any doctor without surprise costs. They emphasize access to prescriptions without limitations and protection for unplanned care. Sidecar Health also offers transparent pricing and the option for members to save money if they find providers who charge less than their plan pays. Their offerings include individualized access plans and employer plans, ensuring members always have a choice of qualified doctors.

📋 Description

• 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

• 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

• 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.