Data Enablement Engineer

BlueCross BlueShield of Tennessee is hiring a Data Enablement Engineer for their Operational Intelligence program. The role focuses on designing and building data infrastructure to support operational intelligence insights, including data pipelines and analytics solutions that inform staffing and performance management decisions.

Responsibilities:

• Designs, develops, and maintains ETL/ELT data pipelines, transformations, and datasets using SQL, Python, and Databricks, including delivery of new capabilities and enhancements
• Owns data models and curated data layers for a business domain, ensuring scalability, consistency, and alignment with established standards
• Develops and maintains BI datasets, semantic models, and reporting solutions, optimizing performance and supporting new and evolving business needs
• Defines and implements data validation and reconciliation processes within ETL/ELT frameworks, ensuring accuracy, consistency, and reliability of metrics
• Partners with business stakeholders, IT, and AI teams to translate business needs into technical requirements, refine solution design, and deliver scalable ETL/ELT‑driven data solutions
• Produces and maintains clear documentation of data logic, transformations, and metric definitions, including end‑to‑end ETL/ELT workflows, ensuring alignment with standards and enabling reuse

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent professional experience. Equivalent experience is defined as 4 years of professional work experience in a corporate environment
• 3+ years of experience in designing, developing, and maintaining data and analytics solutions using SQL, Python, and Databricks, including orchestrating and optimizing data pipelines and analytical datasets
• Experience with ETL/ELT frameworks, including designing and implementing pipelines and transformation
• Experience with BI tools (e.g., Power BI, Cognos) developing and optimizing semantic models and performance‑optimized reporting solutions
• Experience owning data pipelines, models, and metrics, and independently translating business needs into technical requirements to deliver new and enhanced data solutions
• Advanced proficiency in SQL and Python for building, optimizing, and maintaining data pipelines and analytical datasets
• Advanced proficiency in BI tools (e.g., Power BI, Cognos), including development and optimization of semantic models, datasets, and reporting solutions
• Strong understanding of relational database and data warehousing concepts, including designing scalable data models and structured data solutions
• Proficient in Databricks or similar cloud analytics platforms, including orchestrating and optimizing data pipelines and scalable data workflows
• Strong understanding of ETL/ELT processes, including designing pipelines, implementing transformation logic, and applying data quality controls