You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene’s technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility.

Position Purpose: Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Engages with the DevSecOps Engineer during continuous integration and continuous deployment.

• Use different technologies to complete tasks such as data modeling, data transfers, authoring and consuming schema standards
• 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

Education/Experience: A Bachelor’s degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and Requires 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.

TECHNICAL SKILLS:

• One or more of the following skills are desired.
• dbt
• Snowflake

• Use different technologies to complete tasks such as data modeling, data transfers, authoring and consuming schema standards
• 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 standard