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# Data Engineer I

- **Company:** Randstad
- **Location:** Saint Lewis, NC, United States
- **Experience:** Starter
- **Salary:** $83,512.0 - $104,312.0
- **Contract:** Contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Data Analysis, Big Data, C Sharp (Programming Language), Cloud Computing, Continuous Delivery, Continuous Integration, Data Validation, Data Cleansing, Data Integrity, Data Transformation, Data Mining, Data Structures, Programming Tools, Distributed Systems, HP Loadrunner, HP Quality Centers, HP Quicktest Professional, Python (Programming Language), Microsoft SQL Server, Power BI, Standard Sql, SQL Databases, Tableau (Software), Data Processing, Data Storage Technologies, Data Ingestion, Snowflake, Information Technology, Data Management, Data Pipelines, Devsecops, Workday, Programming Languages
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/f49014ca-dc76-48ec-93b8-6038a92e22e5

## About the Role

AI tools,Big Data,large data sets,C#,Cloud Applications,Cloud Computing,continuous deployment,continuous integration,Data Analysis,data ingestion,Data Mining,data extraction,data pipelines,data pipeline,Data Manipulation,data transformation,data validation,DevSecOps,distributed systems,Load Runner,Quality Center,QTP,computer science,Java (Programming Language),JavaScript (Programming Language),Microsoft SQL Servers,SQL Server,Power BI,Programming Language,Programming Tools,Python,Python (Programming Language),SQL (Programming Language),SQL,Snowflake,sql code,SQL skills,Tableau,Workday,Soft Skills,advanced analytics,automate,Business Intelligence Software,dashboards,Data Collection,collect data,Data Quality,establish facts,mathematics,statistics,metrics,Programming Concepts,QA testing,Quality Assurance,performing root cause analysis,hard skills,Power Tool

## Description

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 architecture 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