Senior Data Engineer
@ Centene Corporation

Hybrid
$116,700
Hybrid
Posted 24 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXX******* @centene.com
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Job Details

Position Purpose

The Senior Data Engineer at Centene Corporation develops and operationalizes data pipelines to make data available for advanced analytics and reporting. The role involves data ingestion, transformation, validation, and optimization, while engaging with DevSecOps for continuous integration and deployment.

Key Responsibilities

  • Design, develop, and maintain large-scale, high-volume data architectures.
  • Create and optimize real-time processing applications and data pipelines.
  • Collaborate with DevSecOps for continuous integration/deployment.
  • Ensure technical solution quality across Centene’s environments.
  • Guide team members on data management procedures and automation.

Technical & Soft Skills

The ideal candidate has experience with Big Data, cloud production environments, and proficiency in languages such as C#, Java, Python, and SQL. They are skilled in data manipulation, data mining, diagnostic problem solving, and quality assurance testing. A bachelor's degree in a quantitative field and 4-6 years experiences are required.

Compensation and Benefits

Pay Range: $85,300 - $158,100 per year. Centene offers competitive benefits including health insurance, 401K, stock purchase plans, tuition reimbursement, paid time off, holidays, and a flexible approach to work arrangements (remote, hybrid, field, or office).

Equal Opportunity and Inclusive Culture

Centene is committed to diversity and equal opportunity, ensuring all qualified applicants are considered. Accommodations are available upon request through recruiting@centene.com.

Key skills/competency

  • Data Pipelines
  • Data Ingestion
  • Data Transformation
  • Real-time Processing
  • Cloud Infrastructure
  • C#
  • Java
  • Python
  • SQL
  • DevSecOps
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How to Get Hired at Centene Corporation

🎯 Tips for Getting Hired

  • Research Centene's culture: Understand their mission and diversity practices.
  • Customize your resume: Tailor skills to data engineering needs.
  • Emphasize technical expertise: Highlight cloud, programming, and big data experience.
  • Prepare for technical queries: Be ready to discuss pipeline optimization and DevSecOps.

📝 Interview Preparation Advice

Technical Preparation

Review data pipeline automation techniques.
Brush up on cloud infrastructure best practices.
Practice coding in Python, Java, C#.
Study real-time data processing concepts.

Behavioral Questions

Describe solving a complex data issue.
Explain your teamwork in challenging projects.
Discuss handling tight deadlines.
Share conflict resolution experiences.

Frequently Asked Questions