[Remote] Data Engineer I

Note: The job is a remote job and is open to candidates in USA. Centene Corporation is a diversified national organization focused on improving health outcomes through technology. They are seeking a Data Engineer I to develop and operationalize data pipelines for reports and advanced analytics, ensuring data quality and efficiency in processing. The role involves designing data management procedures and maintaining data integrity across various environments.

Responsibilities

• Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics). This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration, and engaging with 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
• 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

Skills

• 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; C# (Programming Language); Java (Programming Language); JavaScript (Programming Language); Programming Concepts; Programming Tools; 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

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

Company Overview

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