Job Type: Contract (W2 Only)
Contract Length: 6+ months
Pay Range: $60 – $65/hr
Start Date: ASAP
Location: Onsite - Foster City, CA
About the Opportunity:
Our client, a leader in the autonomous vehicle and robotics industry, is looking for a skilled Manufacturing Data & AI Engineer to join their team for a 6+ month engagement. This project involves supporting the development of intelligent manufacturing systems, scalable data architecture, and AI-enabled operational solutions across Manufacturing Operations. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.
Key Responsibilities & Deliverables:
This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:
- Design, develop, and maintain scalable data pipelines and ETL processes that support Manufacturing Operations reporting and decision-making.
- Build and manage curated data models and analytics-ready datasets, ensuring a trusted source of performance, quality, and operational metrics.
- Integrate data from enterprise and manufacturing systems, including SAP HANA, SAP MES, and other production databases.
- Identify operational challenges and partner with stakeholders to develop AI-enabled solutions, analytics tools, and automation opportunities to improve manufacturing performance.
- Establish robust data governance, validation, and monitoring frameworks to ensure the accuracy, consistency, and reliability of manufacturing data assets.
We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:
- 4–6 years of experience in Data Engineering, Analytics Engineering, or Software Engineering with significant data responsibilities.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline.
- Strong proficiency in SQL, Python, data modeling, ETL development, and enterprise-scale data warehousing solutions.
- Working knowledge of AWS cloud technologies and modern data platforms, with a strong understanding of data quality and governance principles.
- Experience translating complex business challenges into scalable technical solutions through data, analytics, and AI technologies.
- Preferred: Experience with SAP HANA or SAP MES, and experience supporting manufacturing, robotics, or supply chain environments.
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