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United States of America, Kansas City

Sr. Data Engineer - AI at Dairy Farmers of America, Inc. | Kansas City, United States

Company/Recruiter: Dairy Farmers of America, Inc.

Published on: Oct 5, 2026 · Closes Nov 4, 2026 11 views
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Opportunity type

Job

Location

United States of America, Kansas City

Work arrangement

Location-based; remote work not stated

Compensation

Not disclosed

Closing date

Nov 4, 2026

Employer

Dairy Farmers of America, Inc.

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MorrJobs preparation notes

Role shape: Responsibility-led role with a detailed skills profile.

Evidence to prepare: Connect your CV or portfolio to Extensive experience in data engineering.; Proficiency in designing and building data pipelines.. Use one concrete example that shows you can Design, develop, and maintain scalable and secure data pipelines..

Check before applying: Confirm that United States of America, Kansas City and the stated work arrangement suit you, check the closing date of Nov 4, 2026.

  • Apply before Nov 4, 2026.
  • The application route is available to verified Talent accounts.
  • Compensation is not disclosed in the listing; confirm it during the employer's process.
Dairy Farmers of America, Inc. is seeking a highly skilled Sr. Data Engineer - AI to join our dynamic team. In this senior technical role, you will be instrumental in designing, building, and supporting secure, scalable data pipelines that seamlessly connect enterprise data sources to advanced AI/ML models. You will play a crucial part in ensuring the accuracy and accessibility of data, empowering our organization to leverage cutting-edge artificial intelligence for enhanced decision-making and operational efficiency.

Job Overview

This position demands a seasoned Data Engineer with a proven track record in developing robust data solutions. You will collaborate closely with AI/ML teams to understand their data requirements and deliver high-quality, reliable data pipelines that drive innovation.

Key Responsibilities

  • Design, develop, and maintain scalable and secure data pipelines.
  • Integrate diverse enterprise data sources for AI/ML model consumption.
  • Ensure data accuracy, integrity, and availability.
  • Optimize data processing workflows for performance and efficiency.
  • Collaborate with data scientists and AI engineers.
  • Implement data governance and quality best practices.

Requirements

  • Extensive experience in data engineering.
  • Proficiency in designing and building data pipelines.
  • Experience with AI/ML data requirements.
  • Strong understanding of data warehousing and ETL/ELT concepts.
  • Excellent problem-solving and analytical skills.

What We Offer

  • Opportunity to work with advanced AI technologies.
  • A collaborative and innovative work environment.
  • Contribute to impactful data-driven initiatives.
  • Professional development and growth opportunities.

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