Project Overview
Client is looking for a Data Engineer II to support large-scale data initiatives that help improve health outcomes for more than 28 million members. This role focuses on building and optimizing data pipelines, enabling high-quality data for reporting, analytics, and real-time processing across the organization.
Key Responsibilities
- Build, maintain, and optimize data pipelines for ingestion, transformation, validation, orchestration, and quality.
- Work with DevSecOps Engineers to support CI / CD integration and deployment.
- Develop standardized procedures for data staging, ingestion, preparation, provisioning, and secure data destruction.
- Design, test, document, and operate large-scale, high-volume data structures for analytics and business intelligence.
- Create and support real-time processing applications and streaming data pipelines.
- Ensure data accuracy, consistency, and integrity across Centene environments.
- Assess evolving data requirements and recommend improvements to storage, processing, and utilization.
- Develop, test, and maintain data architectures using approved programming languages and tools.
- Identify areas to improve data reliability, efficiency, quality, and automation opportunities.
- Adhere to all Centene policies, standards, and security requirements.
- Perform additional responsibilities as assigned.
Required Qualifications
Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, or a related quantitative / business field.2 4 years of relevant data engineering experience.Equivalent experience may be considered.Technical & Soft Skills
Technical Skills
Experience with one or more of the following :
Big Data platforms and data processing toolsData validation, QA testing, and diagnosing system issuesData mining and data manipulationCloud-based production environmentsProgramming with :C#
JavaPythonSQLMicrosoft SQL Server and SQL-based toolsSoft Skills
Strong analytical and problem-solving abilitiesAble to work independently with minimal guidanceComfortable identifying issues, gathering information, and drawing logical conclusionsMotivated to deepen technical expertise and stay current in the field