Lead Data Engineer - Primary Care

Humana is a healthcare services company focused on creating integrated and personalized experiences for patients. The Lead Data Engineer will oversee data processing architectures and solutions, ensuring efficient data conversion to insights, while leading the development of data warehouses and collaborating on data governance frameworks.

Responsibilities:

• You will ingest data from internal and external sources using cloud native platforms and software development best practices and patterns
• You will develop software tools using artificial intelligence, machine learning, and big data to turn data into insights that improve member outcomes
• You will exercise decision-making on complex issues regarding job responsibilities and related tasks, requiring analysis of variable factors and determining the best course of action
• You will lead the development of PCO Analytics' data warehouse using Medallion architecture and Kimball modeling to deliver optimized, business-ready data marts and star schemas for analytics
• You will lead the Information Architecture of PCO Analytics, establishing well-governed processes to ensure holistic metadata, reference data management, ontologies, and semantic layers
• You will collaborate with partners to develop data governance frameworks and standards

Requirements:

• Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience
• Expertise in Medallion architecture and Kimball dimensional modeling
• Experience integrating semantic and organizational data assets with leading AI platforms
• 2+ years of project leadership experience
• Advanced experience working with big and complex data sets within large organizations
• Advanced in SQL, Snowflake, Databricks, or other data systems
• 2+ years' experience in dbt
• Proficiency in understanding Healthcare related data
• Ability to work within the EST time zone
• Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
• Experience creating analytics solutions for several healthcare sectors
• Cloud certification in leading cloud or AI platform such as Snowflake, Azure, Databricks, AWS, or GCP