Salary
💰 $62,400 - $112,400 per year
About the role
- 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.
- Assist with implementing automated processes. Engages with the DevSecOps Engineer during continuous integration and continuous deployment.
- Designs and implements standardized data management procedures around data staging, ingestion, preparation, provisioning, and destruction (scripts, programs, automation, assisted by automation, etc.)
- Assist with implementing automated processes
- 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) and 2–4 years of related experience, or equivalent experience.
- Technical Skills: One or more of the following skills are desired: AWS, SQL, Python, Excel