Senior Data Engineer

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.

- Development and support an existing ETL processes in a cloud environment (AWS) consisting of Snowflake and Teradata.

- Helps guide the design and implementation of complex data management procedures within 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 with Snowflake and Terradata.

- Ensure quality of technical solutions as data moves across Centene’s AWS cloud 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.

- Experience with Big Data; Data Processing

- Experience with Control - M Scheduling

- 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 (AWS) infrastructure

- Experience with 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 - 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
Pay Range: $87,000.00 - $161,300.00 per year

At Centene, we connect people to the care they need to live healthier lives — and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday.

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also