Senior Data Engineer

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.

• 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).
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.
• Experience with Big Data; Data Processing
• Experience with Other: diagnosing system issues, engaging in data validation, and providing quality assurance testing
• Experience with Data Manipulation; Data Mining
• Experience working in a production cloud infrastructure
• Experience with one or more of the following C# (Programming Language); Java (Programming Language); Programming Concepts; Programming Tools; Python (Programming Language); SQL (Programming Language)
• Knowledge of Microsoft SQL Servers; SQL (Programming Language)

Soft Skills:

• Intermediate - Seeks to acquire knowledge in area of specialty
• Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
• Intermediate - Ability to work independently
• Intermediate …