Centene Corporation-posted 4 days ago
Full-time • Mid Level
Hybrid • Northampton, MA
5,001-10,000 employees

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 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
  • A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 2 – 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.
  • Experience with Big Data
  • Data Processing
  • diagnosing system issues, engaging in data validation, and providing quality assurance testing
  • Experience with Data Manipulation
  • Data Mining
  • Experience working in a production cloud infrastructure
  • one or more of the following C# (Programming Language); Java (Programming Language); Programming Concepts; Programming Tools; Python (Programming Language); SQL (Programming Language)
  • Knowledge of Microsoft SQL Servers
  • SQL (Programming Language)
  • 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
  • competitive pay
  • health insurance
  • 401K and stock purchase plans
  • tuition reimbursement
  • paid time off plus holidays
  • a flexible approach to work with remote, hybrid, field or office work schedules
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service