FreshRemote.Work

Data Engineer II

Remote-MO, United States

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

Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science).
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.

Preferred Skills:

  • Experience with batch processing support using Control-M scheduler and Informatica/IDMC systems
  • Flexibility with work hours with occasional weekend/late night support
  • Reconcile and triage data issues
  • Conduct extensive analysis and revision of batch schedules to resolve issues

Technical Skills:

  • One or more of the following skills are desired.
  • Experience with Big Data; Data Processing
  • Experience with Other: 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
  • Experience with 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)

Pay Range: $62,400.00 - $112,400.00 per year

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules.  Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.  Total compensation may also include additional forms of incentives.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.


Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

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Job Profile

Regions

North America

Countries

United States

Restrictions

Field Field or office work schedules Holidays Hybrid LA MO Office Remote

Benefits/Perks

401(k) Competitive benefits Competitive pay Comprehensive benefits Comprehensive benefits package Flexible approach Flexible Work Schedule Health insurance Holidays Hybrid work Paid Time Off Remote work options Stock purchase Stock purchase plans Tuition reimbursement Workplace flexibility

Tasks
  • Automate data tasks
  • Automation
  • Data manipulation
  • Data transformation
  • Design and maintain data structures
  • Develop data pipelines
  • Develop real-time data applications
  • Ensure data quality
  • Identify data improvements
  • Implement data management procedures
  • Resolve issues
  • Testing
  • Troubleshoot data issues
Skills

Access Advanced Analytics Analysis Analytics Automation Batch processing Benefits Big Data Business Business Intelligence C Cloud Cloud Infrastructure Continuous Deployment Continuous Integration Control-m C programming Data analysis Data Architecture Data Automation Data destruction Data efficiency Data ingestion Data Management Data manipulation Data Mining Data Pipeline Optimization Data Pipelines Data preparation Data processing Data provisioning Data Quality Data reliability Data Staging Data Transformation Data Validation Deployment DevSecOps Education Flexibility Health Insurance Health outcomes Informatica Infrastructure Insurance Java Management Mathematics Microsoft SQL Server Office Work Orchestration Performance Data Procedures Programming Programming concepts Provisioning Python Python programming Quality Assurance Real-time processing Reports SQL Statistics Technology Testing Transformation Triage Utilization Workplace Flexibility

Experience

2-4 years

Education

AS Bachelor Bachelor's Bachelor's degree Bachelor's in a quantitative or business field Business Business Field Computer Science Education Engineering Equivalent Equivalent experience Insurance Management Mathematics Statistics

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9