Data & Analytics Platform Engineer IV

Cambia Health Solutions • Medford, OR

3d • $114,000 - $186,000 • Hybrid

About The Position

Every day, Cambia’s Data & Analytics Platform Engineering team helps advance our mission to make health care easier and lives better. We are seeking a Senior Data Engineer to join the team as a technical lead, helping shape and deliver scalable platform capabilities that enable data engineering teams across Cambia. In this role, you will design, build, and optimize CI/CD Snowflake framework, Airflow orchestration libraries, database environment cloning capabilities, data masking solutions, and row-level access policy frameworks, and create future accelerators and automation related to data engineering workloads. These platform-wide solutions help teams create data products more efficiently and support conventional analytics, agentic analytics, and operational reporting across the organization. Our technology environment includes Snowflake, dbt, SQL stored procedures, PostgreSQL, Snowflake Streamlit Applications, Snowpark Container Services, Open Flow, REST API Development, Docker, and Airflow. If you're a motivated and experienced Mid/Senior Data Platform Engineer looking to make a difference in the healthcare industry, apply for this exciting opportunity today!

Requirements

• At least 7-8 years of relevant experience in data platform engineering or data engineering, including senior or lead-level experience.
• Bachelor’s degree in Computer Science, Mathematics, Business Administration, or a related field. An equivalent combination of education and relevant experience may be considered in place of a degree.
• Deep expertise with Snowflake, SQL, dbt or other ETL tools, and ELT/ETL design patterns.
• Expert-level knowledge of developing Python applications and Snowflake Streamlit applications.
• Experience building CI/CD pipelines using GitLab CI/CD, CircleCI, or similar frameworks.
• Experience developing stored procedures using SQL or Python, preferably in Snowflake.
• Experience in building Python based applications on Snowpark Container Services
• Demonstrate experience in calling and building REST API applications
• Familiarity with Airflow, Snowflake Tasks, or similar orchestration tools.
• Familiarity with containerization technologies like Docker, Kubernetes, etc.
• Strong data modeling, pipeline design, and performance optimization skills.
• Experience migrating from one platform to another and integrating data into new and existing tables in the target platform.
• Ability to think strategically, understand the full scope of work, and translate big-picture goals into detailed execution plans.
• Strong data profiling skills, including the ability to identify unique and primary keys and determine cardinality, data type, precision, scale, and skew.
• Excellent communication skills, with the ability to collaborate within the team and across product, QA, and other partner teams.
• Understanding of data governance, security, and compliance principles.

Nice To Haves

• Experience in health care or complex enterprise data environments.
• Experience with semantic layers, metadata management, or streaming data.
• Experience building AI pipelines using modern large language model frameworks.
• Experience with a business area supported by this position is preferred, such as Provider Network and Contract Management, Digital Solutions, Pricing, Membership, or Claims.

Responsibilities

• Own delivery of technical projects and mentor junior Data Engineers; drive engineering standards and best practices.
• Architect, build, tune, and automate scalable Snowflake-based frameworks for Data and Analytics teams, including data privacy, database object management, data engineering pipeline orchestration, database environment management, and RBAC configuration and management.
• Partner with the Data Modeling team to design scalable data models and warehouse layers that support analytics and operational workloads.
• Optimize Snowflake performance, including query tuning, compute sizing, and workload isolation.
• Partner with analytics, product, data engineering, and business teams to deliver high-quality data & analytics platform solutions.
• Ensure implementation quality and performant code, thorough testing, extensive documentation, and platform observability.

Benefits

• Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
• Annual employer contribution to a health savings account.
• Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
• Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
• Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
• Award-winning wellness programs that reward you for participation.
• Employee Assistance Fund for those in need.
• Commute and parking benefits.
• Competitive salary and bonus opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree