Manufacturing Data & AI Engineer

Salary: $138000 - 138000 per year Requirements: We require a bachelors degree in Computer Science, Data Science, Engineering, or a related technical discipline. We look for 4–6 years of experience in data engineering, analytics engineering, or software engineering with substantial data-focused responsibilities. We need strong proficiency in SQL, Python, data modeling, ETL development, and enterprise-scale data warehousing. We expect experience designing scalable data architectures and building analytics-ready datasets that support operational decision-making. We value working knowledge of AWS cloud services and data governance practices. Responsibilities: We design, build, and support scalable data pipelines, ETL workflows, and data warehouse solutions for manufacturing reporting and analytics. We create and maintain curated data models and datasets that deliver reliable manufacturing performance metrics. We integrate information from enterprise and manufacturing platforms such as SAP HANA, SAP MES, and operational databases. We identify operational pain points and partner with stakeholders to develop AI-enabled solutions and automation opportunities. We develop and refine Python-based data processing solutions and advanced SQL queries for analyzing complex datasets. Technologies: AI AWS Cloud Data Warehouse ETL Support Python SAP SQL More: We are supporting a leader in manufacturing and autonomous vehicle production, and this role sits within Manufacturing Operations with a focus on data architecture, analytics, and AI-enabled solutions. The position is based in Foster City, CA and offers a pay range of $73/hour plus benefits. We provide a strong benefits package that includes medical, dental, vision, HSA, FSA, supplemental life insurance, short- and long-term disability, business travel insurance, 401(k) with match, and weekly pay. Through our broader organization, we also offer the opportunity to work across innovative teams and contribute to next-generation autonomous vehicle production systems, while building your expertise in advanced data and AI technologies. last updated 26 week of 2026