Data Engineer at Jobs via Dice

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Data Engineer

Summary

The Data Engineer will support the design, development, and optimization of a modern data ecosystem including on-premise and Cloud platforms. This role will build and improve data pipelines, maintain reliable data warehouse structures, and help shape architectural standards for scalable analytics. This Data Engineer will partner closely with technology and business teams to deliver high-quality data that supports reporting, insights, and strategic decisions.

Responsibilities

• Build and maintain ETL pipelines that support data warehousing, analytics, and reporting.
• Develop scalable data solutions using Cloud data platforms and modern engineering practices.
• Optimize SQL queries, data models, and Cloud warehouse performance.
• Support data migrations including moving on-premise data sources to Cloud platforms.
• Collaborate with analytics teams to deliver accurate, reliable datasets and BI outputs.
• Apply dimensional modeling and data warehousing best practices.
• Use scripting languages to automate processes and streamline data operations.
• Assist in defining development standards, architectural patterns, and data engineering roadmap.
  
  

Requirements

• Two or more years of data engineering experience.
• Strong SQL skills with experience in platforms including SQL Server or Oracle.
• Experience working with Cloud data environments (Snowflake, Databricks, or similar).
• Proficiency in Python or other scripting languages.
• Background using BI and reporting tools (Sigma, Power BI, Tableau, Alteryx, or similar).
• Solid understanding of data warehousing concepts, dimensional modeling, and data lake architecture.
• Familiarity with data integration tools, orchestration frameworks, and automation workflows.
  
  

This is a 6-month Contract-to-hire opportunity with our Topeka, KS client. Employee benefits include Medical/Dental Benefits, Paid time off, Paid Holidays, and 401(k). H1-B Visa sponsorship is not available for this position. No third-parties, please.