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 is available for reporting and advanced analytics while engaging with DevSecOps for continuous integration and deployment.

Responsibilities:

• 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
• 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
• Experience with Big Data; Data Processing
• Experience with 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)
• 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 - Demonstrated analytical skills
• Intermediate - Demonstrated project management skills
• Intermediate - Demonstrates a high level of accuracy, even under pressure
• Intermediate - Demonstrates excellent judgment and decision making skills