Data Engineer Mid

Job Summary

Our client, a leading enterprise organization, is seeking a Data Engineer Mid to join its data engineering team. This is an approximately 12-month contract opportunity focused on designing, building, maintaining, and optimizing data infrastructure and pipelines. The Data Engineer will work on collecting, managing, and transforming raw data into usable formats for analysis and other data consumers. The ideal candidate will have very strong SQL skills, experience building, debugging, and improving data pipelines, and preferably hands-on experience with Databricks and end-to-end ETL development.


Contract Details

• Contract type and duration: Contract, approximately 12 months (11/2/2026 – 11/2/2027)
• Work location: Irving, TX
• Work arrangement: Hybrid, 3 days onsite per week
  

Core Responsibilities

• Design, build, maintain, and optimize data infrastructure and pipelines
• Collect, manage, and transform raw data into usable formats for analysis and other data consumers
• Build and develop data pipelines to support data processing requirements
• Debug, troubleshoot, and improve existing data pipelines
• Support end-to-end ETL development and data transformation processes
• Work with Databricks for data pipeline development and ETL activities, preferably
  

Required Skills/Experience (Must-Haves)

• Very strong hands-on SQL skills
• Experience building data pipelines
• Experience debugging and troubleshooting data pipelines
• Experience improving and optimizing existing data pipelines
• Understanding of data engineering and data transformation processes
  

Preferred Skills/Experience (Nice-to-Haves)

• Hands-on experience with Databricks
• Experience developing end-to-end ETL processes
• Experience designing, building, and maintaining data infrastructure
• Experience optimizing data pipelines for performance and reliability
  

Key Competencies & Behaviors

• Demonstrates very strong SQL skills and the ability to work with data effectively
• Builds and maintains data pipelines to support data processing requirements
• Identifies, debugs, and resolves issues within existing data pipelines
• Improves data pipelines and supports efficient data processing
• Understands end-to-end ETL processes and data transformation
• Works with data engineering technologies, preferably Databricks
  

Work Environment

• Location: Irving, TX
• Work arrangement: Hybrid, 3 days onsite per week
• Department: Data Engineering
  

Compensation & Benefits

• Pay Range: The approximate pay rate for this position is between $38.50 and $55.00 per hour. Please note that the pay rate provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered
  

About KellyMitchell

At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.


Marketing Disclosure

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