Data & AI Engineer

• Work with business and IT stakeholders to understand business processes and desired outcomes before designing technical solutions.
• Design, build, and maintain data pipelines that bring data from ERP, financial, manufacturing, and other enterprise systems into our central data platform.
• Build and maintain data models and reusable data assets for reporting, applications, and AI, and monitor data quality and reliability.
• Develop dashboards, reports, and semantic models that turn data into useful business information.
• Build integrations and automations between enterprise applications using APIs and data pipelines, replacing manual work wherever possible.
• Develop AI applications, such as natural-language interfaces built on large language models and retrieval-augmented generation (RAG), and train, tune, and deploy machine learning models when they fit the problem.
• Use AI-assisted development tools to build, test, and document faster while holding to sound standards for source control, testing, security, and maintainability.
• Support and troubleshoot deployed solutions.

• Evaluate emerging technologies and build prototypes to test their business value
• Help shape data, integration, and AI engineering standards and architecture decisions
• Support existing applications and solutions as required
• Perform related duties and/or special projects as assigned

• Data engineering: building and running data pipelines (ETL/ELT) and analytical data models
• SQL and relational database design
• Python or another modern programming language
• Analytical and problem-solving skills, with the ability to break complex problems into practical solutions
• Working knowledge of APIs and system integration
• Hands-on use of AI-assisted development tools
• Demonstrated clear written and verbal communication skills

• Learn the business process first and let it, not the technology, drive the solution
• Work independently with limited direction, and work well with others
• Learn unfamiliar tools, systems, and business processes quickly
• Balance experimentation with the reliability, security, and supportability that enterprise systems require
• Question assumptions and find better approaches

• Bachelor's degree in computer science, information systems, data science, engineering, mathematics, or a related field, or equivalent demonstrated technical capability and professional experience
• Demonstrated data engineering skills: pipelines you have built and run, from raw data to a usable result, through professional work, internships, or substantial projects
• Strong SQL and Python skills
• Hands-on experience taking a technical solution from prototype to working use
• 2–5 years of relevant experience is typical, but candidates at any level may be considered based on demonstrated ability, learning agility, and accomplishments

• Databricks experience (highly desirable)
• Microsoft Azure and related cloud services
• Machine learning model development and tuning, and generative AI development (LLM APIs, RAG, AI agents)
• Git-based source control and CI/CD practices

• Ability to perform the normal physical requirements of an office and computer-based professional position

• On-site in Turlock, CA, with flexibility for some work from home
• Primarily office and technology environments; may require occasional travel to company facilities and interaction with employees in manufacturing, warehouse, and other operational environments

Our company is an equal opportunity employer committed to non-discriminatory employment practices abiding by the regulations as outlined by the EEOC. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.