Data Engineer Jobs in Palo Alto, CA
Data Engineer jobs in Palo Alto are concentrated in the Stanford Research Park, Downtown University Avenue corridor, and the California Avenue district, across venture-backed tech startups, established semiconductor firms, and enterprise AI companies. Employers hiring right now include Tesla, Rivian, and SpaceXSI. Scan the live roles below and apply to whichever ones fit.
Find Data Engineer JobsOverview
Open roles624+
Top employerTesla
Work type57% On-site
Top credentialExperience equivalent to degree accepted
Companies hiring20
Showing 5 of 624+ Data Engineer jobs
Cloud & Data Tools Engineer
We won't show you this job again
Added 4d ago
Ford Motor Company
Cloud & Data Tools Engineer
Palo Alto, California
Added 4d ago
Internship, Data Engineer, Energy (Winter/Spring 2027)
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Added 4d ago
Tesla
Internship, Data Engineer, Energy (Winter/Spring 2027)
Palo Alto, California
Added 4d ago
Sr. Research Engineer, Synthetic Data
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Added 5d ago
CURSOR
Sr. Research Engineer, Synthetic Data
Palo Alto, California
Added 5d ago
Data Platform Engineer
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Added 6d ago
BrightAI
Data Platform Engineer
Palo Alto, California
Added 6d ago
Staff Mechanical Data Center Engineer, SI Hardware
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Added 1w ago
Tesla
Staff Mechanical Data Center Engineer, SI Hardware
Palo Alto, California
Added 1w ago
Added 4d ago
Cloud & Data Tools Engineer
Ford Motor Company·Palo Alto, California
Job functions:
Hybrid
10,000+ employees
Job Description
Overview
At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
- Build and deploy Docker container images and run supported applications on Google Cloud services, including Cloud Run.
- Help data team members deploy and maintain Streamlit applications, including troubleshooting deployment issues and providing light Python debugging support.
- Support Google Cloud sandbox environments used by the team; investigate common issues and coordinate with cloud support teams when needed.
- Manage and troubleshoot permissions exceptions and service-account access for Google Cloud and Ford Cloud Portal (FCP) resources, following applicable security and governance processes.
- Help users determine the appropriate account or service identity for a resource and investigate cases where the required service account or permission is unavailable.
- Coordinate with Global Data and Intelligence (GDIA) data stewards and other data owners to submit, track, and resolve data-access requests on behalf of team members.
- Perform data-stewardship activities for assets created or maintained by the team, including helping ensure that ownership, access, and supporting information are handled appropriately.
- Help prepare team web applications for the team’s internal web platform, including packaging, deployment, and basic troubleshooting.
- Support the team website and related applications, including resolving issues that affect usability or routine operation.
- Assist with data and content workflows for team communication tools, including troubleshooting image or other asset uploads to BigQuery-backed services where applicable.
- Document recurring procedures, known issues, and deployment or access guidance so that common tasks can be completed consistently.
- Work with GDIA, FCP, and relevant IT organizations to route requests, clarify requirements, and resolve issues that are outside the team’s direct control.
What success looks like:
- Team members can get access and get unblocked: data requests and cloud-access issues are routed, tracked, and resolved through clear, dependable processes.
- Development environments are dependable: team sandboxes and analysis tools are maintained, and recurring problems are documented and addressed efficiently.
- Applications are easier to deploy and support: team members receive practical help packaging and deploying internal applications, with common steps made repeatable.
- Access is handled responsibly: service accounts, permissions, and data-stewardship activities follow the appropriate security and governance expectations.
- Cross-team work is effective: requests involving GDIA, FCP, or IT partners are communicated clearly and followed through to resolution.
- Support becomes more sustainable: recurring fixes and operational knowledge are captured, reducing avoidable one-off troubleshooting.
- 3+ years experience in:
- Experience with Google Cloud Platform (GCP), particularly Cloud Run and BigQuery.
- Experience developing or supporting Streamlit applications.
- Familiarity with JupyterLab and cloud-based data-analysis environments.
- Experience supporting sandbox environments, service accounts, IAM permissions, or cloud access workflows.
- Experience working with data stewards, data owners, or enterprise IT and cloud-support teams.
- Experience packaging and deploying internal web applications or supporting a shared team application platform.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
This role is on site in Dearborn, MI, you will be required on-site 4x a week.
*This role is open to ONSITE Palo Alto AND Dearborn candidates*
*Visa Sponsorship IS NOT provided for this specific role*
*Relocation assistance IS provided for this specific role*
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
#LI-Onsite
#LI-DS2
Ford Motor Company
Cloud & Data Tools Engineer
Palo Alto, California
Added 4d ago10,000+ employees
Job functions:
Hybrid
Job Description
Overview
At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
- Build and deploy Docker container images and run supported applications on Google Cloud services, including Cloud Run.
- Help data team members deploy and maintain Streamlit applications, including troubleshooting deployment issues and providing light Python debugging support.
- Support Google Cloud sandbox environments used by the team; investigate common issues and coordinate with cloud support teams when needed.
- Manage and troubleshoot permissions exceptions and service-account access for Google Cloud and Ford Cloud Portal (FCP) resources, following applicable security and governance processes.
- Help users determine the appropriate account or service identity for a resource and investigate cases where the required service account or permission is unavailable.
- Coordinate with Global Data and Intelligence (GDIA) data stewards and other data owners to submit, track, and resolve data-access requests on behalf of team members.
- Perform data-stewardship activities for assets created or maintained by the team, including helping ensure that ownership, access, and supporting information are handled appropriately.
- Help prepare team web applications for the team’s internal web platform, including packaging, deployment, and basic troubleshooting.
- Support the team website and related applications, including resolving issues that affect usability or routine operation.
- Assist with data and content workflows for team communication tools, including troubleshooting image or other asset uploads to BigQuery-backed services where applicable.
- Document recurring procedures, known issues, and deployment or access guidance so that common tasks can be completed consistently.
- Work with GDIA, FCP, and relevant IT organizations to route requests, clarify requirements, and resolve issues that are outside the team’s direct control.
What success looks like:
- Team members can get access and get unblocked: data requests and cloud-access issues are routed, tracked, and resolved through clear, dependable processes.
- Development environments are dependable: team sandboxes and analysis tools are maintained, and recurring problems are documented and addressed efficiently.
- Applications are easier to deploy and support: team members receive practical help packaging and deploying internal applications, with common steps made repeatable.
- Access is handled responsibly: service accounts, permissions, and data-stewardship activities follow the appropriate security and governance expectations.
- Cross-team work is effective: requests involving GDIA, FCP, or IT partners are communicated clearly and followed through to resolution.
- Support becomes more sustainable: recurring fixes and operational knowledge are captured, reducing avoidable one-off troubleshooting.
- 3+ years experience in:
- Experience with Google Cloud Platform (GCP), particularly Cloud Run and BigQuery.
- Experience developing or supporting Streamlit applications.
- Familiarity with JupyterLab and cloud-based data-analysis environments.
- Experience supporting sandbox environments, service accounts, IAM permissions, or cloud access workflows.
- Experience working with data stewards, data owners, or enterprise IT and cloud-support teams.
- Experience packaging and deploying internal web applications or supporting a shared team application platform.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
This role is on site in Dearborn, MI, you will be required on-site 4x a week.
*This role is open to ONSITE Palo Alto AND Dearborn candidates*
*Visa Sponsorship IS NOT provided for this specific role*
*Relocation assistance IS provided for this specific role*
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
#LI-Onsite
#LI-DS2
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Find Data Engineer JobsData Engineer Job Market in Palo Alto
Who's Hiring
- Tesla240
- Rivian48
- SpaceXSI48S
- Pivotal32
- xAI16
Top Industries Hiring
- Technology & Software48
- Retail16
- Accounting & Auditing16
Data Engineer Jobs in Palo Alto: Frequently Asked Questions
How do I get a data engineer job in Palo Alto?
The most direct path is targeting Palo Alto's deep bench of AI and machine learning companies, semiconductor firms, and enterprise SaaS platforms concentrated in Stanford Research Park and along Page Mill Road. Candidates with hands-on pipeline experience in cloud-native environments and familiarity with large-scale model training data stand out. Connecting with Stanford's industry partnership network also opens doors to research-adjacent roles that rarely surface elsewhere.
Which companies hire data engineers in Palo Alto?
Companies currently hiring data engineers in Palo Alto include Tesla, Rivian, and SpaceXSI, per current listings on Migrate Mate as of November 2026. Palo Alto's employer mix leans heavily toward deep-tech and AI-focused organizations, alongside a strong cluster of financial technology and healthcare analytics firms with offices in the area.
Are there remote data engineer jobs in Palo Alto?
Yes, though roles tied to proprietary infrastructure or on-site data centers tend to require in-person presence. About 43% of data engineer openings tied to Palo Alto are remote or hybrid as of November 2026, reflecting how broadly analytical and pipeline work can be done off-site. The most fully remote openings typically involve cloud data platform work rather than hands-on hardware or lab-adjacent data engineering.
How can I get a data engineer job in Palo Alto with little or no experience?
The most realistic entry point is an associate or junior data analyst role at one of Palo Alto's mid-stage startups, which often hire for data generalists who grow into engineering work. Companies in Stanford Research Park with active university partnerships frequently recruit candidates who have completed Stanford or SLAC-affiliated research projects involving real datasets. Building a portfolio with public cloud certifications and open-source pipeline contributions sharpens your profile for these employers specifically.
Which industries hire the most data engineers in Palo Alto?
Most data engineer openings in Palo Alto sit in Technology & Software, Retail, and Accounting & Auditing, per current listings on Migrate Mate as of November 2026. Palo Alto's role as a hub for AI research commercialization, semiconductor design, and health technology drives outsized demand across those sectors compared to most other California cities.
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