Data Engineer II

Centene Corporation is a diversified national organization focused on improving health outcomes through technology. The Data Engineer II role involves developing and operationalizing data pipelines, ensuring data quality, and engaging with DevSecOps for continuous integration and deployment.

Responsibilities:

• Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.)
• Designs, develops, implements, tests, documents, and operates 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 insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions
• Develops, constructs, tests, and maintains architectures using programming language and tools
• Identifies ways to improve data reliability, efficiency, and quality; 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)
• 2 – 4 years of related experience
• Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.)
• Designs, develops, implements, tests, documents, and operates 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 insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions
• Develops, constructs, tests, and maintains architectures using programming language and tools
• Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated
• Complies with all policies and standards
• SQL
• Python
• Teradata
• Snowflake