Data Platform Engineer III; HEDIS

Data Platform Engineer III (HEDIS Support)
Hybrid role (3 days/week in office) at our Salt Lake City, Boise, Fargo, Portland, Vancouver, Renton, Medford, Burlington, Lewiston, Little Rock, and Springdale offices.

Preference will be given to current employees and candidates who reside within a commutable distance from our Salt Lake City, Boise, Fargo, Lewiston, Little Rock, and Springdale offices, or who are willing to relocate.

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system. Who We Are Looking For:

Every day, Cambia's Data & Analytics Engineering Team is living our mission to make health care easier and lives better. Join our Data & Analytics Engineering team as a Senior Engineer, supporting the technology solutions and data processes that enable HEDIS and healthcare quality measurement.

As a Data Platform Engineer III, you will participate in a cross-team environment for the delivery and maintenance of application systems. In this role, you will be responsible for analyzing, programming, debugging, building, deploying, testing, and documentation of applications in development and production environments, as well as database design and system testing and documentation. This position provides technical, interpersonal, and administrative skills in performing day-to-day work.

Do you thrive as part of a collaborative, caring team? Then this role may be the perfect fit. What You Bring to Cambia:

Qualifications:

The Data Platform Engineer III would have:

A Bachelor's degree in Computer Science, Mathematics, Business Administration, Engineering, or a related field and at least 5 years relevant experience in a multi-platform environment.

Experience developing, testing, deploying, and supporting production software or data solutions.

Experience independently troubleshooting complex application and data-processing problems.

Experience working with sensitive, regulated, or business-critical data.

Healthcare industry experience is preferred; experience with HEDIS, healthcare quality measurement, claims, membership, provider, or clinical data is strongly preferred.

Skills and Attributes:
Strong SQL skills and demonstrated ability to analyze and troubleshoot complex data issues—data analysis and problem solving are key aspects of this role.

Development experience with modern data warehouse platforms (e.g. Snowflake, Databricks, Biq Query); experience building data pipelines, ETL/ELT processes, data integration, and data quality automation.

Experience with Python for data engineering and application development purposes.

Experience with source control, testing, deployment, CI/CD, and modern software development lifecycle practices.

Ability to independently develop efficient, secure, and maintainable code and technical solutions for complex business problems.

Ability to profile data and assess keys, relationships, cardinality, data types, precision, scale, and quality.

Documentation and communication skills.

Ability to balance planned engineering work with production-support responsibilities and collaborate effectively across technical and business teams.

Commitment to continuous learning, knowledge sharing, and the development of reusable engineering practices.

Comfortable working in a remote and/or distributed team environment, and proficient in asynchronous communication tools such as Microsoft Teams or Slack.

Able to take direction, in analyzing and solving program and system issues.

Able to plan and manage their own work.

Familiar with Test Driven Development (TDD) and Behavior Driven Development (BDD) including unit and behavior test creation.

Follows corporate and departmental coding standards and guidelines.

Able to learn containerization technologies and orchestration tools.

Applies software security best practices.

Familiarity with defensive programming, OWASP top 10 to mitigate injection vulnerabilities, cross-site scripting (XSS), server side request forgery (SSRF). Familiar with authentication principles, security hygiene and data stewardship.

Able to mentor and coach other junior team members in technical matters.

Preferred

Skills:

Snowflake; SQL and SQL/Python stored procedures.dbt or comparable ETL/ELT tools.

Orchestration tools such as Airflow.

Production monitoring, logging, or observability tools.

Experience using AI coding assistants (e.g., Claude, Git Hub Copilot, Snowflake Cortex Code).Familiarity with HEDIS measure specifications (numerator, denominator, exclusions,…