Centene Corporation

Data Engineer II

Centene Corporation

full-time

Posted on:

Location Type: Remote

Location: Remote • Arizona, Florida, Montana, Washington • 🇺🇸 United States

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Salary

💰 $62,400 - $112,400 per year

Job Level

JuniorMid-Level

Tech Stack

CloudJavaPythonSQL

About the role

  • Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics)
  • Engage with the DevSecOps Engineer during continuous integration and continuous deployment
  • Design and implement standardized data management procedures around data staging, ingestion, preparation, provisioning, and destruction
  • Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics
  • Ensure quality of technical solutions as data moves across Centene’s environments
  • Develop architectures using programming language and tools
  • Identify 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 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 with Other: 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;
  • Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
  • Ability to work independently
Benefits
  • competitive pay
  • health insurance
  • 401K and stock purchase plans
  • tuition reimbursement
  • paid time off plus holidays
  • flexible approach to work with remote, hybrid, field or office work schedules

Applicant Tracking System Keywords

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

Hard skills
data pipelinesdata management proceduresdata stagingdata ingestiondata preparationdata provisioningdata destructiondata structuresdata manipulationdata mining
Soft skills
problem identificationdata validationquality assuranceindependent work
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