Senior Data Engineer

Centene Corporation is a diversified national organization focused on improving health outcomes through technology. The Senior Data Engineer will develop and operationalize data pipelines, ensuring data quality and availability for advanced analytics while guiding the design of complex data management procedures.

Responsibilities:

• Helps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.)
• Provides guidance to data engineers in the design, development, implementation, testing, documenting, and operating of large-scale, high-volume, high-performance data structures for business intelligence analytics
• Designs, develops, and maintains real-time processing applications and real-time data pipelines
• Ensure quality of technical solutions as data moves across Centene’s environments
• Provides senior level knowledge and insight into the changing data environment, data processing, data storage, and utilization requirements for the company and drives the team toward viable solutions
• Develops, constructs, tests, and maintains architectures using advanced programming language and tools
• Drives ways to improve data reliability, efficiency, and quality and deploys a solution; use data to discover tasks that can be automated
• Performs other duties as assigned
• Complies with all policies and standards

Requirements:

• A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
• 4 – 6 years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position
• Guidance in the design, development, implementation, testing, documenting, and operating of large-scale, high-volume, high-performance data structures for business intelligence analytics
• Design, develop, and maintain real-time processing applications and real-time data pipelines
• Ensure quality of technical solutions as data moves across Centene's environments
• Provide senior level knowledge and insight into the changing data environment, data processing, data storage, and utilization requirements for the company
• Develop, construct, test, and maintain architectures using advanced programming language and tools
• Drive ways to improve data reliability, efficiency, and quality and deploy a solution
• Use data to discover tasks that can be automated
• Comply with all policies and standards
• SQL
• ETL
• Teradata
• Snowflake