Senior Analytics Engineer

Join our high-velocity Analytics Engineering team as a Senior Analytics Engineer. In this core technical role, you will co-own, scale, and optimize the "Transform" layer of our data ecosystem. You will design and build modular dbt pipelines, act as a technical bridge between Analytics, Operations, and Data Engineering, and diagnose performance bottlenecks. You will also participate in peer code reviews, refactor legacy technical debt, and mentor junior peers. Enjoy remote work, generous benefits, and a supportive company culture.

• Design, build, and optimize modular dbt pipelines and performant technical schemas, setting the team standard for version control, unit testing, and velocity.
• Act as a critical technical bridge between Analytics, Operations, and Data Engineering to transform ambiguous product requirements into robust data assets.
• Diagnose performance bottlenecks to slash query latencies and lower warehouse compute costs across modern data platforms, specifically aiding strategic migration toward Snowflake.
• Expert-level SQL proficiency and deep data modeling experience, with a proven ability to write performant queries and understand the architectural trade-offs of database design decisions
• 4+ years of professional experience in analytics engineering, data engineering, or highly technical data analytics roles
• Experience working in a cross-functional role partnering directly with analytics, operations, or business teams, where strong requirement-gathering and the ability to translate complex data structures into clear documentation are crucial
• Absolute comfort with production git workflows (branching, merging, pull request reviews) and automated data quality testing practices
• 2+ years of dedicated, hands-on experience building, deploying, and maintaining modular data pipelines using dbt in a production environment
• Proven experience designing schemas and optimizing query performance on modern cloud data platforms (such as Snowflake, Redshift, or BigQuery)
• Prior experience working with HIPAA-compliant data environments, electronic health records (EHR), digital health operations, or similar highly regulated industries
• While having the preferred qualifications below enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement
• Hands-on experience or deep familiarity with Snowflake architectures and running data migrations to Snowflake environments
• Active experience leveraging AI-assisted development tools (like GitHub Copilot, ChatGPT, Cursor, or Claude Code) to accelerate code generation, decipher legacy warehouse logic, and draft robust dbt test suites
• Experience with Fivetran or modern ingestion tools to deeply understand upstream data structures and better collaborate with the core data engineering pod
• A proactive approach to data quality, testing, and alert frameworks (such as dbt test packages) and building practical alerting workflows rather than just waiting for stakeholders to report broken data
• Experience managing changing business processes or schema drift when underlying logic or systems pivot unexpectedly
• Basic Python proficiency providing an extra layer of technical agility when collaborating on advanced pipeline orchestration or tooling