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.
- 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.
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 with Other: • Experience working in a production cloud infrastructure
- Experience with one or more of the following
- Programming Tools; Python (Programming Language); SQL (Programming Language)
- Knowledge of Microsoft SQL Servers; SQL (Programming Language), Snowflake
Soft Skills:
- 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
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
Job Profile
401(k) Competitive benefits Competitive pay Comprehensive benefits package Flexible approach Flexible work schedules Health insurance Paid Time Off Stock purchase Stock purchase plans Tuition reimbursement Workplace flexibility
Tasks- Design data management procedures
- Develop data pipelines
- Engage with devsecops
- Ensure data quality
- Identify improvement opportunities
- Implement data structures
- Maintain real-time applications
Access Automation Business Business Intelligence Data engineering Data ingestion Data Management Data manipulation Data Mining Data pipeline optimization Data Pipelines Data Quality Data Transformation Data Validation DevSecOps Education Health Insurance Insurance Mathematics Microsoft SQL Server Orchestration Python Quality Assurance Real-time processing Snowflake SQL Statistics Technology
Experience2-4 years
EducationBachelor's degree Business Business Field Computer Science Engineering Equivalent Equivalent experience Mathematics Quantitative field Statistics
TimezonesAmerica/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