Senior Data Platform Engineer​/SDE

Senior Data Platform Engineer / SDE – Hybrid (3 days/week in office)

Location:

Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargo. Candidates must reside within commutable distance of that location or be willing to relocate.

Every day, Cambia’s Data & Analytics Engineering Team lives our mission to make health care easier and lives better. As a Senior Data Engineer, you will serve as the technical lead for a team of Data Engineers. You will design, build, optimize, and own scalable enterprise data pipelines and platform capabilities in Snowflake that power conventional and agentic analytics, purpose‑built data products, and operational reporting.

You will mentor engineers, drive technical standards, and contribute to platform strategy, positioning yourself for growth into Principal‑level engineering and architecture roles or people leadership. Your deep hands‑on expertise, a consulting‑oriented mindset, and proven ability to deliver measurable impact in complex environments will make an excellent fit for this role with clear growth opportunities.

• Experienced technical lead with a strong background in building and optimizing data pipelines, excellent SQL skills, and hands‑on expertise with Snowflake, dbt, and modern ELT practices.
• Adept at breaking down work, mentoring Data Engineers, and delivering scalable, high‑quality data solutions in complex enterprise environments.

The Senior Data Platform Engineer would have at least 6+ years of relevant experience in Data Engineering or Data Platform Engineering, with senior or lead experience. A college degree in Computer Sciences, Mathematics, Business Administration, or related fields is required, or equivalent experience in the healthcare industry. Experience with a business area that is supported by this position is preferred (Provider Network and Contract Management, Digital Solutions, Pricing, Membership, Claims, etc.).

• Deep expertise with Snowflake (strongly preferred), SQL and SQL/Python stored procedures.
• Experience with dbt or other ETL tools, ELT/ETL design patterns, and orchestration (Airflow or similar).
• Strong data modeling (dimensional, normalized, and denormalized), pipeline design, performance optimization, and integration/migration expertise.
• Data profiling: identification of unique and primary keys, cardinality, data type, precision, scale, and skew.
• Experience with Data Ops, CI/CD, semantic layers, metadata management, observability, streaming, and AI/agentic enablement.
• Understanding of data governance, security, compliance, and enterprise platform ownership.
• Excellent communication and collaboration across teams (Product, QA, Analytics, Business).
• Ability to mentor, establish best practices, and influence technical decisions with proactive problem‑solving and innovation.
• Ability to think big, envision the work from the entire scope, and work down into the details.

• Experience in healthcare or complex enterprise data environments.
• Dev Ops/Data Ops proficiency.
• Exposure to budgeting/cost management and cross‑team initiatives.

• Lead and mentor Data Engineers; drive engineering standards and best practices.
• Independently design, build, tune, and own scalable Snowflake ELT pipelines, data models (with the Modeling team), and platform artifacts supporting analytics/operational workloads.
• Optimize performance (query tuning, compute sizing, workload isolation, cost management).
• Partner with analytics, product, governance, QA, and business teams to deliver high‑quality, observable data solutions.
• Contribute to platform strategy, risk assessments, and adoption of modern practices (Data Ops, CI/CD, AI tools).
• Ensure data quality, testing, documentation, and knowledge sharing.
• Demonstrate technical leadership by breaking down complex work and delivering value in squad/model environments.

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