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A leading healthcare enterprise is seeking a Data Engineer I to develop and operationalize data pipelines. The position focuses on data quality and integrity, ensuring effective data management and collaboration with teams. Candidates should have a Bachelor's degree in a quantitative field and some experience with data analysis and programming.
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Centene Corporation is a leading healthcare enterprise committed to helping people live healthier lives. The Data Engineer I role focuses on developing and operationalizing data pipelines to enhance health outcomes through advanced analytics, ensuring data quality and integrity while collaborating with DevSecOps teams.
Responsibilities:
• Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics).
• 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
• Ensures 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 offer 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
• Helps maintain the integrity and security of company data
• Performs other duties as assigned
• Complies with all policies and standards
Qualifications:
• A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
• 0 – 2 years of related experience
• Experience with Data Analysis; Data Collection
• Knowledge of Data Quality; Data Validation; QA testing tools (Quality Center, QTP and Load Runner); Quality Assurance
• Experience with Cloud Applications; Cloud Computing
• Experience with Big Data; Data Manipulation; Data Mining; Power Tool Operation; Python; Tableau (Business Intelligence Software)
• Experience building / operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience with Big Data; Python (Programming Language); SQL (Programming Language)
• Experience with Microsoft SQL Servers; SQL Server System
• Beginner - Seeks to acquire knowledge in area of specialty
• Beginner - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
• AWS and Snowflake preferred
Company:
Centene Corporation is a leading healthcare enterprise committed to helping people live healthier lives. Centene Corporation has a track record of offering H1B sponsorships.
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