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# Manufacturing Data & AI Engineer

- **Company:** Manpower
- **Location:** Foster City, CA, United States
- **Experience:** Experienced
- **Salary:** $151,840.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Operational Databases, SAP (Applications), SAP HANA, Software Engineering, SQL Databases, Technical Data Management Systems, Data Processing, Freeform SQL, Information Technology, Data Pipelines
- **Published:** June 18, 2026
- **Apply:** https://dejobs.org/x/x/6DD9E9D279B8405284E2D2FD4B606904/job/

## About the Role

Our client, a leader in manufacturing and autonomous vehicle production, is seeking a Manufacturing Data & AI Engineer to join their team. As a Manufacturing Data & AI Engineer, you will be part of the Manufacturing Operations supporting data architecture, analytics, and AI-enabled solutions. The ideal candidate will have strong problem-solving skills, collaboration abilities, and a proactive mindset, which will align successfully in the organization., * 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 significant data responsibilities.
 * Proficiency in SQL, Python, data modeling, ETL development, and enterprise-scale data warehousing solutions.
 * Experience designing scalable data architectures and building analytics-ready datasets supporting operational decision-making.
 * Working knowledge of AWS cloud technologies and data governance principles.

## Description

* Design, develop, and maintain scalable data pipelines, ETL processes, and data warehouse solutions supporting manufacturing reporting and analytics.
 * Build and manage curated data models and datasets that provide trusted manufacturing performance metrics.
 * Integrate data from enterprise and manufacturing systems such as SAP HANA, SAP MES, and operational databases.
 * Identify operational challenges and collaborate with stakeholders to develop AI-enabled solutions and automation opportunities.
 * Develop and optimize Python-based data processing solutions and advanced SQL queries for complex datasets analysis.


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