Centene is looking for a Data Engineer I to develop and operationalize data pipelines, making data available for reports and advanced analytics. You will design standardized data management procedures and large-scale data structures to support business intelligence. We use technology to improve health outcomes around the world and offer a fresh perspective on workplace flexibility.

What You'll Do

Develop and operationalize data pipelines for ingestion, transformation, validation, optimization, and orchestration.
Design and implement standardized data management procedures for staging, preparation, provisioning, and destruction.
Design, develop, implement, test, document, and operate large-scale, high-volume data structures for business intelligence analytics.
Design, develop, and maintain real-time processing applications and data pipelines.
Ensure the quality of technical solutions as data moves across environments.
Provide insight into the changing data environment and suggest solutions.
Develop, construct, test, and maintain architectures using programming languages and tools.
Identify ways to improve data reliability, efficiency, and quality, using data to discover automatable tasks.
Help maintain the integrity and security of company data.

What We're Looking For

A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and 0 – 2 years of related experience.
Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope, and skill.
Or completion of a Centene-sponsored emerging talent program.

Nice to Have

Experience with Data Analysis and Data Collection.
Knowledge of Data Quality, Data Validation, QA testing tools (Quality Center, QTP, Load Runner), and Quality Assurance.
Experience with Cloud Applications and Cloud Computing.
Experience with Big Data, Data Manipulation, Data Mining, Power Tool Operation, Python, and Tableau.
Experience building or operating highly available, distributed systems for extraction, ingestion, and processing of large data sets.
Experience with Big Data, C#, Java, JavaScript, Programming Concepts, Programming Tools, Python, and SQL.
Experience with Microsoft SQL Servers and SQL Server System.