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# Data Engineer II

- **Company:** Randstad
- **Location:** Missouri City, TX, United States (Remote available)
- **Salary:** $95,160 - $115,960
- **Contract:** Contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, C Sharp (Programming Language), Cloud Computing, Continuous Delivery, Continuous Integration, Data Validation, Data Cleansing, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Structures, Data Systems, Database Queries, Programming Tools, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Standard Sql, SQL Databases, Data Processing, Data Storage Technologies, Data Ingestion, Sql Optimization, Snowflake, Information Technology, Data Management, Data Pipelines, Devsecops, Workday, Programming Languages
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/27bdddfb-4b69-4fcf-b7ea-9a83681e0f91

## About the Role

Bachelors

skills:

AI tools,using AI tools,Big Data,large-scale data,C#,cloud infrastructure,continuous deployment,continuous integration,data ingestion,Data Mining,data pipelines,data pipeline,data pipeline development,scalable data pipelines,Data Processing,Data Manipulation,data solutions,data transformation,data transformations,data validation,complex queries,DevSecOps,ETL,data engineering,computer science,Java (Programming Language),Microsoft SQL Servers,performance optimization,performance tuning,Programming Language,Programming Tools,Python (Programming Language),Python,SQL (Programming Language),SQL,Snowflake,SQL - Advanced,SQL skills,Workday,adaptable,detail-oriented,communication,Soft Skills,troubleshooting,Strong problem-solving,Ability to work independently,proactive,collaborative,advanced analytics,AI-assisted development,automation,automating,business needs,collect data,data quality,diagnosing,establish facts,mathematics,statistics,metrics,production support,Programming Concepts,collaboration
skills,sponsorship,quality assurance testing,learn quickly,hard skills

## 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

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 architecture 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

Comply with all policies and standards