Senior Analytics Engineer

Health Net Health Plan of Oregon, Inc. is a diversified, national organization seeking a Senior Analytics Engineer. This role is responsible for designing, building, and scaling a modern analytics engineering framework to support advanced analytics and strategic decision-making.

Responsibilities:

• Design, build, and own scalable data pipelines that ingest external and internal data into Snowflake, including automation of file-based ingestion processes
• Architect, develop, and maintain dbt transformation workflows to produce curated, production-ready data models and tables
• Establish and enforce best practices for data modeling, performance optimization, data quality, and pipeline reliability across the platform
• Develop and maintain Python- and SQL-based processes for data ingestion, validation, transformation, and monitoring
• Lead the implementation and management of GitLab for version control, code collaboration, and CI/CD processes across the analytics team
• Define and operationalize team standards for source control, code reviews, deployment workflows, and documentation
• Build, optimize, and own Power BI datasets, semantic models, and reporting layers to support scalable analytics and decision-making
• Partner with clinical, operational, and business stakeholders to translate data needs into technical solutions and communicate insights effectively
• Mentor and train team members on data engineering workflows, Snowflake, dbt, GitLab, and Power BI to enable shared ownership and reduce single points of failure
• Continuously improve platform architecture, tooling, and processes to support a scalable, maintainable, and modern analytics ecosystem
• Support expansion of Snowflake capabilities (e.g., application layers or integrations) to enable advanced analytics and operational use cases
• Contribute to advanced analytical initiatives, including identifying cost-savings opportunities and generating insights from complex healthcare datasets
• Requirements Gathering – Consistently leads meetings and/or calls with senior stakeholders and IT. May lead requirements gathering efforts on cross-functional projects. Consistently owns presentation materials. Requirements have significant insight and are consistently translated with technical and business insight into understandable constructs for individuals outside of the engineering domain. May mentor junior engineers
• Data Modeling – Leverages an expert understanding of data and analytics concepts to build tables and views autonomously. Through understanding of all key data sources and related limitations. Model sophistication ranges from few to innumerable related objects. Enhanced understanding of cloud analytics components (e.g. Databricks, Data Mesh, Delta lake, Data Lakehouse) required
• Analytics Code Development – Create code management and control. May recommend modifications to departmental SDLC processes to optimize working mechanisms. Creates test plans and validation controls; may create departmental templates. Implements gold layer (medallion architecture) objects in support of the Centene supply chain methodology
• Source Code/Documentation Management – May define departmental source code and documentation principles. May own multiple code bases; broad exposure to products, code bases, and domains
• Defect/Bug Investigation/Remediation – Develops products developed with very low defect/bug ratio. Addresses bugs and defects of any complexity. Assumes ownership of critical defects regularly and resolve. May define standards and procedures for issue remediation
• Performs other duties as assigned
• Complies with all policies and standards

Requirements:

• Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
• 4–6 years of relevant experience in data engineering, analytics, or a related field
• 3+ years of experience with SQL and Python
• Experience working with modern data platforms and tools (e.g., Snowflake, dbt, GitLab, Power BI)
• Experience designing and maintaining scalable data pipelines and data models
• Experience working with healthcare data (e.g., claims, provider, pharmacy datasets)
• Familiarity with modern data architecture patterns (e.g., medallion architecture)
• Snowflake Certifications (Core, Specialty [e.g., Snowpark], or Advanced [e.g., Data Engineer, Data Analyst])
• GitLab Certifications (e.g., Fundamentals, CI/CD Associate)
• Microsoft Certified: Power BI Data Analyst Associate