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# Sr. Data Engineer - AI

- **Company:** Dairy Farmers of America
- **Location:** Kansas City, KS, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Information Systems, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Distributed Computing Environment, Machine Learning, DataOps, Software Engineering, TypeScript, Data Logging, Vue.js, Information Technology, Data Lineage, Machine Learning Operations, Front End Software Development, Data Delivery, Data Pipelines
- **Published:** August 18, 2026
- **Apply:** https://www.kansasworks.com/jobs/13642444

## About the Role

+ Undergraduate degree in Computer Science, Data Engineering, Information Systems, or related field

 + 8+ years data engineering, software development, or related experience, including work on data pipelines for AI/ML systems

## Description

Serve in a senior-level technical role designing, building, and supporting secure, scalable data pipelines that connect enterprise data sources to AI/ML models. Ensure data is accurate, current, compliant, and aligned with enterprise AI governance standards while independently solving complex integration challenges and advancing data engineering best practices. Provide practical front-end development support using TypeScript, JavaScript, Vue, and Quasar to help deliver intuitive AI-enabled applications.

Job Duties and Responsibilities:

 + Design, build, and optimize scalable ETL/ELT pipelines that ingest, transform, and integrate structured and unstructured enterprise data for AI/ML model training and inference

 + Ensure data is accurate, current, reliable, and secure through cleansing, normalization, validation, automation, continuous updates, monitoring, and error handling

 + Troubleshoot complex integration and performance issues, remove bottlenecks, and apply appropriate techniques such as caching, distributed processing, and specialized ETL patterns

 + Own key AI data infrastructure components and ensure they are scalable, maintainable, and supported by effective monitoring, logging, documentation, data lineage, and quality metrics

 + Apply enterprise architecture, AI governance, privacy, security, coding, and CI/CD standards to data solutions and communicate risks or limitations to leadership

 + Partner with Software engineers, data architects, domain experts, product teams, and platform teams to align data solutions with model requirements, business goals, and enterprise standards

 + Develop and support front-end components for AI-enabled applications using TypeScript, JavaScript, Vue, and Quasar to deliver intuitive, maintainable user experiences

 + Independently deliver assigned work, influence cross-team decisions, promote data engineering best practices, and evaluate technologies that improve AI data delivery

 + The requirements herein describe the general nature and level of work performed by the employee but are not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as needed


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