Centene-posted 7 months ago
$62,400 - $112,400/Yr
Full-time • Entry Level
Ambulatory Health Care Services

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. 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. Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.) Designs, develops, implements, tests, documents, and operates 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 insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions Develops, constructs, tests, and maintains architectures using programming language and tools Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated Performs other duties as assigned Complies with all policies and standards.

  • Develops and operationalizes data pipelines for data consumption.
  • 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 data structures for business intelligence analytics.
  • Designs, develops, and maintains real-time processing applications and data pipelines.
  • Ensures quality of technical solutions as data moves across environments.
  • Provides insight into changing data environment and offers suggestions for solutions.
  • Develops, constructs, tests, and maintains architectures using programming languages and tools.
  • Identifies ways to improve data reliability, efficiency, and quality.
  • Performs other duties as assigned.
  • Complies with all policies and standards.
  • A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science).
  • 2 - 4 years of related experience or equivalent experience.
  • Experience with Big Data and Data Processing.
  • Experience with diagnosing system issues, engaging in data validation, and providing quality assurance testing.
  • Experience with Data Manipulation and Data Mining.
  • Experience working in a production cloud infrastructure.
  • Proficiency in one or more programming languages: C#, Java, Python, SQL.
  • Knowledge of Microsoft SQL Servers.
  • Intermediate knowledge in area of specialty.
  • Ability to identify basic problems and procedural irregularities.
  • Ability to work independently.
  • Competitive pay.
  • Health insurance.
  • 401K and stock purchase plans.
  • Tuition reimbursement.
  • Paid time off plus holidays.
  • Flexible work schedules (remote, hybrid, field, or office).
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