Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics)
Engages with the DevSecOps Engineer during continuous integration and continuous deployment
Designs and implements standardized data management procedures
Designs, develops, implements, tests, documents, and operates large-scale, high-volume, high-performance data structures for business intelligence analytics
Ensures quality of technical solutions as data moves across Centene’s environments
Provides insight into the changing data environment, data processing, data storage, and utilization requirements
Develops, constructs, tests, and maintains architectures using programming languages and tools
Identifies ways to improve data reliability, efficiency, and quality

Requirements

A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
2 – 4 years of related experience
Experience with SQL and/or PL-SQL
Teradata or Snowflake desired
Hands on experience with Python or other languages
Experience with Power BI or other data visualization tools
Knowledge of CI/CD including automated deployments (Gitlab or other tools)
Familiarity diagnosing system issues, data validation and quality assurance testing
Implementation of common engineering best practices including documentation in project management tools such as JIRA

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPL-SQLPythonTeradataSnowflakePower BIdata pipelinesdata management proceduresdata structuresdata validation

Soft Skills

problem-solvingcommunicationcollaborationattention to detailanalytical thinking