Sr. Data Engineer - AI at Dairy Farmers of America, Inc. | Kansas City, United States
Company/Recruiter: Dairy Farmers of America, Inc.
✦ AI Summary
Dairy Farmers of America, Inc. is seeking a highly skilled Sr.
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MorrJobs editorial notes
Our reading of this this opportunity Sr. Data Engineer Ai opening: it is a responsibility-led role with a detailed skills profile role for candidates who can show evidence that matches the responsibilities and requirements published by Dairy Farmers of America, Inc.. The notes below are MorrJobs guidance based on this listing, not claims made by the employer.
What to demonstrate
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..
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.
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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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