Staffing STEM OPT Jobs in California
F-1 STEM OPT staffing jobs in California are concentrated at firms like Apex Group, Insight Global, and Staffmark, with hiring hubs in San Jose, San Francisco, and Los Angeles. California's technology and life sciences sectors drive steady demand for quantitative analysts, data recruiters, and workforce analytics roles that qualify under STEM OPT authorization.
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Get Access To All JobsJOB TITLE: Manufacturing Data & AI Engineer
LOCATION: Foster City, CA (Onsite)
PAY RANGE: $65 - $75/hr.
DURATION: 6 Months
TOP 3 SKILLS:
- 4–6 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related technical field with significant data responsibilities.
- Strong proficiency in SQL, Python, data modeling, and ETL development.
- Experience designing scalable data architectures, enterprise-scale data warehousing solutions, and working knowledge of AWS cloud technologies.
Overview:
Client is seeking a highly motivated Manufacturing Data & AI Engineer to support the development of intelligent manufacturing systems, scalable data architecture, and AI-enabled operational solutions across Manufacturing Operations. Based onsite in Foster City, CA, this role will be responsible for building the data foundation that powers operational reporting, decision-making, process optimization, and future AI applications. The successful candidate will partner closely with Manufacturing, Program Management, Operations, and IT teams to transform manufacturing data into actionable insights and scalable business solutions. This role combines strong data engineering expertise with practical problem-solving to address real-world manufacturing challenges and help establish the next generation of data-driven autonomous vehicle production systems.
Responsibilities:
- Design, develop, and maintain scalable data pipelines, ETL processes, and data warehouse solutions that support Manufacturing Operations reporting, analytics, and decision-making.
- Build and manage curated data models and analytics-ready datasets that provide a trusted source of manufacturing performance, quality, and operational metrics.
- Integrate data from enterprise and manufacturing systems, including SAP HANA, SAP MES, production systems, quality systems, and operational databases.
- Identify operational challenges and partner with stakeholders to develop AI-enabled solutions, analytics tools, and automation opportunities that improve manufacturing performance.
- Develop and optimize Python-based data processing solutions and advanced SQL queries to transform, integrate, and analyze complex datasets.
- Establish robust data governance, validation, monitoring, and quality frameworks to ensure the accuracy, consistency, and reliability of manufacturing data assets.
- Support the long-term evolution of Manufacturing Operations data architecture, enabling advanced analytics, machine learning, automation, and intelligent manufacturing capabilities.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline.
- 4–6 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related technical field with significant data responsibilities.
- Strong proficiency in SQL, Python, data modeling, ETL development, and enterprise-scale data warehousing solutions.
- Experience designing scalable data architectures and building trusted, analytics-ready datasets that support operational decision-making.
- Working knowledge of AWS cloud technologies and modern data platforms, with strong understanding of data quality, governance, and monitoring principles.
Preferred Qualifications:
- Experience working with SAP HANA, SAP MES, or other manufacturing execution and enterprise resource planning systems.
- Experience developing data models and architectures that support AI, machine learning, and advanced analytics applications.
- Experience supporting manufacturing, industrial operations, robotics, autonomous systems, or supply chain environments.
- AWS Certified Data Engineer, AWS Solutions Architect, or equivalent cloud certification.
- Demonstrated ability to translate business challenges into scalable technical solutions through data, analytics, and AI technologies.
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
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JOB TITLE: Manufacturing Data & AI Engineer
LOCATION: Foster City, CA (Onsite)
PAY RANGE: $65 - $75/hr.
DURATION: 6 Months
TOP 3 SKILLS:
- 4–6 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related technical field with significant data responsibilities.
- Strong proficiency in SQL, Python, data modeling, and ETL development.
- Experience designing scalable data architectures, enterprise-scale data warehousing solutions, and working knowledge of AWS cloud technologies.
Overview:
Client is seeking a highly motivated Manufacturing Data & AI Engineer to support the development of intelligent manufacturing systems, scalable data architecture, and AI-enabled operational solutions across Manufacturing Operations. Based onsite in Foster City, CA, this role will be responsible for building the data foundation that powers operational reporting, decision-making, process optimization, and future AI applications. The successful candidate will partner closely with Manufacturing, Program Management, Operations, and IT teams to transform manufacturing data into actionable insights and scalable business solutions. This role combines strong data engineering expertise with practical problem-solving to address real-world manufacturing challenges and help establish the next generation of data-driven autonomous vehicle production systems.
Responsibilities:
- Design, develop, and maintain scalable data pipelines, ETL processes, and data warehouse solutions that support Manufacturing Operations reporting, analytics, and decision-making.
- Build and manage curated data models and analytics-ready datasets that provide a trusted source of manufacturing performance, quality, and operational metrics.
- Integrate data from enterprise and manufacturing systems, including SAP HANA, SAP MES, production systems, quality systems, and operational databases.
- Identify operational challenges and partner with stakeholders to develop AI-enabled solutions, analytics tools, and automation opportunities that improve manufacturing performance.
- Develop and optimize Python-based data processing solutions and advanced SQL queries to transform, integrate, and analyze complex datasets.
- Establish robust data governance, validation, monitoring, and quality frameworks to ensure the accuracy, consistency, and reliability of manufacturing data assets.
- Support the long-term evolution of Manufacturing Operations data architecture, enabling advanced analytics, machine learning, automation, and intelligent manufacturing capabilities.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline.
- 4–6 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related technical field with significant data responsibilities.
- Strong proficiency in SQL, Python, data modeling, ETL development, and enterprise-scale data warehousing solutions.
- Experience designing scalable data architectures and building trusted, analytics-ready datasets that support operational decision-making.
- Working knowledge of AWS cloud technologies and modern data platforms, with strong understanding of data quality, governance, and monitoring principles.
Preferred Qualifications:
- Experience working with SAP HANA, SAP MES, or other manufacturing execution and enterprise resource planning systems.
- Experience developing data models and architectures that support AI, machine learning, and advanced analytics applications.
- Experience supporting manufacturing, industrial operations, robotics, autonomous systems, or supply chain environments.
- AWS Certified Data Engineer, AWS Solutions Architect, or equivalent cloud certification.
- Demonstrated ability to translate business challenges into scalable technical solutions through data, analytics, and AI technologies.
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
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STEM OPT Staffing Job Roles in California
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Search Staffing Jobs in CaliforniaStaffing STEM OPT Sponsorship Jobs in California: Frequently Asked Questions
Which staffing companies sponsor F-1 STEM OPT visas in California?
Staffing firms with active California operations and documented F-1 STEM OPT hiring patterns include Apex Group, Insight Global, Staffmark, and Allegis Group. Technology-focused staffing agencies in Silicon Valley and life sciences staffing firms in the San Diego and South San Francisco corridors are among the most active, particularly for roles in data analysis, workforce planning, and technical recruiting operations.
Which cities in California have the most staffing F-1 STEM OPT sponsorship jobs?
San Jose and San Francisco lead in staffing STEM OPT hiring due to their concentration of technology clients requiring workforce analytics and talent operations support. Los Angeles follows, with staffing firms supporting entertainment, media, and healthcare sector clients. San Diego's biotech cluster generates demand at life sciences staffing agencies, and Sacramento has growing state-government and tech-adjacent staffing activity.
How do I find staffing F-1 STEM OPT sponsorship jobs in California?
Migrate Mate filters staffing job listings specifically by F-1 STEM OPT eligibility and California location, showing only employers with verified sponsorship history from DOL Labor Condition Application data. This saves you from applying to roles where sponsorship is listed as possible but not documented. Search by city or metro area to compare active openings at staffing firms across San Jose, Los Angeles, and San Diego.
What types of staffing roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify must fall under a STEM-designated Classification of Instructional Programs (CIP) code matching your degree. Within staffing, qualifying positions commonly include workforce data analyst, HR technology analyst, compensation analyst, and labor market research analyst. General staffing coordinator or account manager roles rarely qualify unless the position formally requires quantitative or technical degree-level work as its primary function.
Are there California-specific considerations for F-1 STEM OPT sponsorship in staffing?
California staffing employers must comply with both federal STEM OPT requirements and California's own worker classification laws, including AB5, which affects how staffing firms structure placements. Employers sponsoring STEM OPT must be enrolled in E-Verify and provide a formal training plan. California's strong employee-protection statutes also mean staffing agencies operating as joint employers carry compliance obligations that influence which firms actively sponsor STEM OPT workers.