Senior Data Engineer – Semantic Layer & Analytics Platforms

Hybrid (In office 3 days/week) within Oregon, Washington, Idaho, or Utah

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Every day, Cambia’s Data & Analytics Engineering team is living our mission to make health care easier and lives better. The Data & Analytics Engineering team is seeking a dynamic and experienced Senior Data Engineer with a passion for semantic layer development and analytics enablement. As a technical leader, you will design, build, and optimize scalable data pipelines and advanced semantic models that power analytics, data products, and operational reporting across our organization.

If you have hands‑on experience with tools such as Snowflake semantic views, AtScale semantics, dbt semantics, Microstrategy Archtect / Semantic Graph, or Business Objects Universes, and thrive on variety and challenge in your work, we encourage you to apply.

Experienced technical leader 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.

Experience developing, implementing, refining, and troubleshooting semantic layers.

We strongly prefer candidates with a broad range of experience—such as that gained through consulting roles or cross‑functional project work—who can bring fresh perspectives and innovative solutions to our data ecosystem.

• Bachelor’s degree in computer science, Mathematics, Business Administration, Engineering, or a related field
• 3+ years relevant experience in a multi‑platform environment, including, but not limited to application development or database development
• At least 1 year working with Snowflake or similar cloud data platforms
• Equivalent combination of education and experience

• Technical Expertise:
  Proven experience building and optimizing data pipelines and semantic layers in complex enterprise environments.
• Semantic Layer Design:
  Experience designing semantic layers and related database artifacts, including entities, relationships, dimensions, facts, metrics.
• Semantic Layer Engineering Expertise:
  Demonstrated hands‑on expertise with at least one of the following:
  Snowflake semantic views, AtScale semantics, dbt semantics, Microstrategy Architect / Semantic Graph, or Business Objects Universes.
• Data Platform
  
  Skills:
  
  Advanced proficiency in SQL, data modeling, and ELT/ETL design patterns; strong experience with Snowflake and dbt.
• Consulting Mindset: A track record of delivering high‑impact data solutions across a variety of industries or business domains, with the ability to adapt quickly to new environments and requirements.
• Collaboration:
  
  Experience collaborating with cross‑functional teams (business, product, engineering, governance, quality assurance).
• Orchestration & Automation:
  Familiarity with orchestration tools (e.g., Airflow) and version‑controlled development workflows (CI/CD, Dev Ops/Data Ops).
• Data Governance:
  Strong understanding of data governance, security, and compliance in large‑scale data environments.
• Healthcare
  
  Experience:
  
  Experience in healthcare or other highly regulated industries is a plus.
• Preferred Additional
  
  Experience:
  • Ideally, 6+ years of experience in Data Engineering or Data Platform Engineering roles, preferably with senior or lead responsibilities.
  • Experience with metadata management, streaming data, and building semantic layers for analytics self‑service.
  • Python development skills, especially for data engineering or automation tasks.
  • Experience integrating semantic layers with BI and analytics tools (e.g., Tableau, Power BI, Looker).

• Establish Standards:
  Drive engineering standards and best practices for semantic layer and data platform development.
• Implement Enterprise Semantic Models:
  Design, build, optimize, and maintain semantic data models and database…