Manufacturing Data & AI Engineer

Certainly! Here's a compelling public job description for the Manufacturing Data & AI Engineer position, crafted to attract high-quality candidates:

Job Title: Manufacturing Data & AI Engineer

Overview:
Are you passionate about transforming manufacturing operations through innovative data solutions and artificial intelligence? We’re seeking a highly motivated Manufacturing Data & AI Engineer to be at the forefront of developing intelligent manufacturing systems, scalable data architectures, and AI-enabled operational tools. This pivotal role empowers you to design the foundation for data-driven decision-making, process optimization, and the deployment of next-generation autonomous vehicle production systems. Collaborate closely with manufacturing, IT, and operations teams to turn complex data into actionable insights that drive operational excellence.

Required Skills:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related technical field
• 4–6 years of experience in Data Engineering, Analytics Engineering, or Software Engineering with a focus on manufacturing data
• Proficiency in SQL, Python, and ETL development
• Extensive experience designing scalable data architectures and enterprise data warehouses on platforms such as AWS, Snowflake, Databricks, or Azure
• Strong understanding of data modeling, governance, validation, and monitoring principles
• Hands-on experience with SAP HANA, SAP MES, PostgreSQL, Redshift, Snowflake, and cloud infrastructure management
• Ability to develop Python-based data processing solutions and optimize complex queries
• Knowledge of data integration from enterprise systems and manufacturing execution systems (MES, ERP)

Nice to Have Skills:

• Experience with machine learning, AI, and advanced analytics supporting manufacturing or autonomous systems
• Familiarity with Gemini, OpenAI, Anthropic, Snowflake Cortex AI, and C++
• Cloud certifications such as AWS Certified Data Engineer or Solutions Architect
• Exposure to IoT, telemetry, robotics, or supply chain environments

Preferred Education and Experience:

• Bachelor’s degree in a related discipline; Master’s preferred
• 4–6+ years of relevant experience in data engineering within manufacturing or industrial contexts

Other Requirements:

• Location: Onsite in Foster City, CA
• Availability to start: ASAP
• Work Authorization: W2 only
• Travel: Not required
• This role is on-site; remote work is not available for this position.

DeWinter Group and Maris Consulting are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We post pay scales which are based on our client pay ranges. DeWinter, Maris, and our clients have the right to modify the requirements of the role which can impact the pay ranges posted.

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