Data Contributor Jobs at Lam Research with Visa Sponsorship
Data Contributor roles at Lam Research sit at the intersection of semiconductor manufacturing and data infrastructure, supporting the systems that drive process control and equipment analytics. Lam Research has a consistent track record of sponsoring international talent across engineering and data functions, making it a realistic target for visa-dependent candidates.
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Get Access To All JobsRequisition ID 197646
Date posted 04/20/2026
Work Location Model On-site Flex
Work Location Fremont-CA
Work Country United States
The impact you’ll make
In this role, you will directly contribute to Lam’s Enterprise AI strategy by building the scalable, AI-ready data foundation that powers generative AI, machine learning, and advanced analytics across the company. You will define and deliver modern data architecture, trusted data products, and production-grade data pipelines that enable Enterprise AI use cases at scale.
What you’ll do
- Architect and build scalable, production-grade data pipelines and data products on Azure, Microsoft Fabric, and related cloud data platforms to support Enterprise AI use cases.
- Design and implement data architecture patterns, including Medallion architecture and curated data layers, to improve data quality, usability, and governance for AI and analytics workloads.
- Develop and optimize large-scale data processing solutions using Python, SQL, Spark, and modern Azure data services to support high-volume, high-performance workloads.
- Build AI-ready data assets for machine learning and generative AI applications, including vector search, Retrieval-Augmented Generation (RAG), graph-based use cases, and semantic data models.
- Partner closely with AI/ML engineers, data scientists, business teams, and platform teams to translate AI use-case requirements into scalable, governed, and production-ready data solutions.
- Drive architecture decisions for data integration, storage, transformation, and serving layers that support the long-term Enterprise AI roadmap.
- Contribute to engineering quality through CI/CD, automation, observability, and operational readiness practices for data pipelines and platforms.
- Document architecture decisions, technical designs, and operating procedures to support maintainability, operational readiness, and long-term platform sustainability.
Who we’re looking for
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field.
- 8+ years of experience in data engineering, data architecture, platform engineering, or related technical roles.
- Strong hands-on experience designing and building cloud-based data solutions on Microsoft Azure.
- Strong proficiency in Python, SQL, and Spark for data transformation, pipeline development, and large-scale data processing.
- Experience with modern data architecture patterns, including Lakehouse and Medallion architecture, and building production-grade data pipelines that integrate data from multiple enterprise systems.
- Experience partnering with cross-functional teams to deliver scalable technical solutions that support business and platform goals.
Preferred qualifications
- Experience with Microsoft Fabric, Azure Databricks, Azure Data Factory, Synapse, or related Azure data services.
- Experience supporting AI/ML or generative AI use cases, including data preparation for model training, inference, vector search, or Retrieval-Augmented Generation (RAG) workflows.
- Experience with graph data models, knowledge graph technologies, or graph databases such as Neo4j.
- Experience with Azure AI Search, event-driven ingestion patterns, CI/CD for data engineering, and monitoring or observability practices for data platforms.
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $141,000.00 - $307,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
Requisition ID 197646
Date posted 04/20/2026
Work Location Model On-site Flex
Work Location Fremont-CA
Work Country United States
The impact you’ll make
In this role, you will directly contribute to Lam’s Enterprise AI strategy by building the scalable, AI-ready data foundation that powers generative AI, machine learning, and advanced analytics across the company. You will define and deliver modern data architecture, trusted data products, and production-grade data pipelines that enable Enterprise AI use cases at scale.
What you’ll do
- Architect and build scalable, production-grade data pipelines and data products on Azure, Microsoft Fabric, and related cloud data platforms to support Enterprise AI use cases.
- Design and implement data architecture patterns, including Medallion architecture and curated data layers, to improve data quality, usability, and governance for AI and analytics workloads.
- Develop and optimize large-scale data processing solutions using Python, SQL, Spark, and modern Azure data services to support high-volume, high-performance workloads.
- Build AI-ready data assets for machine learning and generative AI applications, including vector search, Retrieval-Augmented Generation (RAG), graph-based use cases, and semantic data models.
- Partner closely with AI/ML engineers, data scientists, business teams, and platform teams to translate AI use-case requirements into scalable, governed, and production-ready data solutions.
- Drive architecture decisions for data integration, storage, transformation, and serving layers that support the long-term Enterprise AI roadmap.
- Contribute to engineering quality through CI/CD, automation, observability, and operational readiness practices for data pipelines and platforms.
- Document architecture decisions, technical designs, and operating procedures to support maintainability, operational readiness, and long-term platform sustainability.
Who we’re looking for
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field.
- 8+ years of experience in data engineering, data architecture, platform engineering, or related technical roles.
- Strong hands-on experience designing and building cloud-based data solutions on Microsoft Azure.
- Strong proficiency in Python, SQL, and Spark for data transformation, pipeline development, and large-scale data processing.
- Experience with modern data architecture patterns, including Lakehouse and Medallion architecture, and building production-grade data pipelines that integrate data from multiple enterprise systems.
- Experience partnering with cross-functional teams to deliver scalable technical solutions that support business and platform goals.
Preferred qualifications
- Experience with Microsoft Fabric, Azure Databricks, Azure Data Factory, Synapse, or related Azure data services.
- Experience supporting AI/ML or generative AI use cases, including data preparation for model training, inference, vector search, or Retrieval-Augmented Generation (RAG) workflows.
- Experience with graph data models, knowledge graph technologies, or graph databases such as Neo4j.
- Experience with Azure AI Search, event-driven ingestion patterns, CI/CD for data engineering, and monitoring or observability practices for data platforms.
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $141,000.00 - $307,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
See all 28+ Data Contributor at Lam Research jobs
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Get Access To All JobsTips for Finding Data Contributor Jobs at Lam Research Jobs
Align Your Portfolio to Semiconductor Data Workflows
Lam Research's Data Contributor roles focus on equipment telemetry, process data pipelines, and yield analytics. Before applying, tailor your portfolio to show experience with time-series data, sensor data ingestion, or manufacturing execution system integrations rather than general analytics work.
Target Roles Flagged for Sponsored Positions
Use Migrate Mate to filter Data Contributor openings at Lam Research by visa sponsorship availability, so you're only spending time on postings where international candidates are actively considered, not just theoretically eligible.
Verify Your OPT Timeline Against Lam Research's Hiring Cycle
F-1 OPT gives you 12 months of work authorization, with a potential 24-month STEM extension. Lam Research's hiring cycles for technical roles often run 8 to 12 weeks from application to offer, so map your authorization expiry against that window before applying.
Prepare for a Labor Condition Application Before Your Start Date
For H-1B sponsorship, Lam Research must file a Labor Condition Application with the DOL before your petition reaches USCIS. Understanding that this step precedes your I-129 filing helps you set realistic start date expectations with your hiring manager during offer negotiations.
Differentiate Yourself Through Fab-Adjacent Data Experience
Candidates who can reference experience with data systems adjacent to chip fabrication, such as statistical process control outputs, defect classification datasets, or equipment log parsing, move faster through Lam Research's technical screening than those with only enterprise or web analytics backgrounds.
Clarify Sponsorship Scope During the Offer Stage
Some employers sponsor H-1B status but stop short of supporting Green Card filings through PERM. Ask directly whether Lam Research's sponsorship package for Data Contributors includes EB-2 or EB-3 green card processing, and get confirmation in writing before accepting an offer.
Data Contributor at Lam Research jobs are hiring across the US. Find yours.
Find Data Contributor at Lam Research JobsFrequently Asked Questions
Does Lam Research sponsor H-1B visas for Data Contributors?
Yes, Lam Research sponsors H-1B visas for Data Contributor roles. The company has a consistent history of filing H-1B petitions across its engineering and data functions. Because the H-1B is subject to an annual cap and lottery, timing your application cycle correctly matters. Most candidates on F-1 OPT or a prior H-1B transfer are the strongest near-term fits for these roles.
How do I apply for Data Contributor jobs at Lam Research?
Applications go through Lam Research's careers portal at lamresearch.com/careers. Before applying, confirm the posting explicitly mentions visa sponsorship or that the role falls within a function where Lam Research has historically sponsored. Migrate Mate surfaces Lam Research Data Contributor openings filtered by sponsorship eligibility, which saves you from applying to roles where international candidates aren't being considered.
Which visa types are commonly used for Data Contributor roles at Lam Research?
H-1B is the primary long-term work visa for Data Contributors at Lam Research, given the role's specialty occupation requirements. F-1 OPT and STEM OPT extension are common entry points for recent graduates. TN visas apply for Canadian and Mexican nationals in qualifying data roles. For permanent residence, Lam Research has supported EB-2 and EB-3 pathways through PERM labor certification.
What qualifications does Lam Research expect for Data Contributor roles?
Lam Research typically expects a bachelor's degree or higher in computer science, data engineering, statistics, or a related technical field. Hands-on experience with SQL, Python, and data pipeline tooling is standard. Familiarity with manufacturing or semiconductor data environments, such as equipment log analysis, process control datasets, or yield metrics, meaningfully strengthens your application over candidates with only commercial or web analytics backgrounds.
How do I understand the timeline from offer to work authorization at Lam Research?
If you're transitioning from F-1 OPT to H-1B, USCIS standard processing runs several months after the April lottery. Premium processing reduces the adjudication window to 15 business days but doesn't accelerate the Labor Condition Application that DOL must certify first. Plan for a gap between offer acceptance and your authorized start date, and confirm with Lam Research's HR team whether they use premium processing for Data Contributor petitions.
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