Senior Data Engineer

Humana Inc. is a leading U.S. healthcare company that focuses on delivering care and service to improve health outcomes. They are seeking a Senior Data Engineer to design, build, and maintain data processing solutions that transform data into actionable insights, collaborating closely with cross-functional teams to ensure high standards of data quality and reliability.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and workflows using Azure Databricks
• Develop and maintain SAS programs and SSIS packages for intermediate and downstream data processing
• Write, optimize, and maintain complex SQL queries to support data transformation and analytical use cases
• Design and build ETL/ELT pipelines integrating data from multiple internal and external source systems
• Select, implement, and support Big Data tools and frameworks for data processing and integration
• Monitor, troubleshoot, and resolve complex data processing issues, applying root cause analysis and preventative fixes
• Optimize data pipelines for performance, scalability, reliability, and cost efficiency
• Recommend and support infrastructure improvements to meet evolving data volume and processing demands
• Partner with product management and SRE teams to define requirements and translate them into actionable engineering work
• Collaborate effectively with engineers, stakeholders, and cross functional teams to ensure alignment on data strategy, architecture, and outcomes

Requirements:

• Bachelor's degree in a science, engineering, or computing related discipline or equivalent practical experience
• 8+ years of experience designing and building production grade batch data pipelines for data ingestion and transformation
• 8+ years of overall experience in data engineering or related roles
• Strong proficiency in the following technologies: SQL, Databricks, Python, Apache Spark, Git, Azure Services (Synapse, Azure ADLS Gen 2)
• Strong understanding of relational database principles, data modeling, database management, and data warehousing
• Strong knowledge of Big Data querying tools
• Experience optimizing large-scale data pipelines and ETL workflows
• Excellent communication and interpersonal skills
• Experience working on cloud migrations and legacy modernization
• Experience working with Snowflake
• Experience working in a healthcare space and designing systems to protect member PHI and PII