Staff Data Analytics Engineer

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Design, create, and manage dbt models along with semantic models in Snowflake.

• Develop ingestion-through-transformation pipelines and collaborate with data engineering on shared infrastructure and standards.

• Construct AI-ready data, which includes semantic models, metric definitions, and thorough documentation.

• Provide direction on data design choices in conjunction with Product and Engineering.

• Collaborate with product managers to establish measurable success metrics.

• Detect data collection deficiencies and facilitate resolutions in partnership with Product and Engineering.

• Deliver analysis to inform product decisions and assess feature performance.

• Perform occasional statistical analyses, including experiment evaluations and significance testing.

• Utilize AI coding tools and Snowflake Cortex to expedite development, ensuring the review and validation of the generated code and outputs.

• Create HIPAA-compliant designs featuring role-based and row-level access controls.

• Examine SQL, dbt, and AI-generated code for accuracy.

• Record models, metric definitions, and design decisions.

⛳️ Requirements

• Over 6 years of experience in analytics or data engineering (or a closely related role), focusing on building and maintaining data models and pipelines.

• Bachelor’s Degree in Computer Science, Mathematics, Statistics, Economics, a related technical field, or equivalent professional experience.

• Proficient in SQL and dbt, including skills in incremental models and testing.

• Practical experience with Snowflake, particularly in semantic modeling.

• Expertise in creating data quality tests and monitoring systems.

• Experience collaborating with product teams to define metrics and navigate ambiguous challenges.

• Proficient in AI coding tools such as Claude, with the ability to utilize, construct, and validate AI-generated code.

• Comfortable operating within a regulated environment that demands adherence to privacy and compliance standards.

• Demonstrates ownership and comprehensive thinking from raw data to trusted metrics.

• Excellent communication skills, able to engage effectively with both technical and non-technical partners.

🏝️ Benefits

• Competitive salary.

• Bonus potential.

• Equity package.

• Comprehensive Medical, Dental, and Vision benefits.

• A 401k retirement plan.

• Paid vacation and company holidays.

• The chance to make an impact at a rapidly growing, mission-driven company that is transforming healthcare in the U.S.