Data Engineer Jobs in Santa Clara, CA
Data Engineer jobs in Santa Clara are in high demand, concentrated in the Central Expressway corridor, Mission College district, and the tech campuses along Great America Parkway, across semiconductor, cloud infrastructure, and enterprise software sectors. Employers hiring right now include NVIDIA, PlusAI, and Palo Alto Networks. Find a role that fits below and apply directly.
Find Data Engineer JobsOverview
Open roles656+
Top employerNVIDIA
Work type92% Hybrid
Top credentialBachelor of Science
Companies hiring16
Showing 5 of 656+ Data Engineer jobs
2027 PhD Data Center Networking Engineer Intern/Co-Op
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Added 1d ago
AMD
2027 PhD Data Center Networking Engineer Intern/Co-Op
Santa Clara, California
Added 1d ago
System Software Engineer, NPI Data Center Diagnostics
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Added 1d ago
NVIDIA
System Software Engineer, NPI Data Center Diagnostics
Santa Clara, California
Added 1d ago
Senior Software Engineer, Data Ingestion - Autonomous Vehicles
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Added 2d ago
NVIDIA
Senior Software Engineer, Data Ingestion - Autonomous Vehicles
Santa Clara, California
Added 2d ago
Software Development Engineer, SageMaker HyperPod Data Plane
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Added 1w ago
Amazon Web Services
Software Development Engineer, SageMaker HyperPod Data Plane
Santa Clara, California
Added 1w ago
Senior Staff Software Engineer | Security Data Platform | Expert in Python
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Added 1w ago
ServiceNow
Senior Staff Software Engineer | Security Data Platform | Expert in Python
Santa Clara, California
Added 1w ago
Added 1d ago
2027 PhD Data Center Networking Engineer Intern/Co-Op
AMD·Santa Clara, California
Job functions:
Hybrid
5,001-10,000 employees
Job Description
Overview:
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Responsibilities:
JOB DETAILS:
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
Qualifications:
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
As an AMD intern and co-op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.
JOB DETAILS:
- Location: San Jose, CA or Santa Clara,CA
- Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
- Duration:
- Spring/Summer Co-op: January 25, 2027 - August 13, 2027
- Summer Internship:
- Semester Students: May 24, 2027 - August 13, 2027
- Quarter Students: June 21, 2027 - September 10, 2027
- Summer/Fall Co-op:
- Semester Students: May 24, 2027 - December 10, 2027
- Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:
We are seeking a highly motivated Data Center Networking Engineering intern/co-op to join our team. In this role, you will:
- We will involve you in understanding AI/ML workloads, collective communication patterns, and cloud networking use cases, and applying those insights to develop realistic network traffic models.
- You will design and simulate networking algorithms and architectural models for large-scale cloud and AI/ML infrastructure networks.
- Your responsibilities will include identifying architecture, functionality, and performance challenges through simulation, analysis, and modeling.
- We will partner with you to evaluate performance versus complexity tradeoffs and explore networking solutions that can be incorporated into future AMD products.
- You will work closely with experienced engineers and receive mentorship while gaining hands-on exposure to data center and AI networking technologies.
WHO WE ARE LOOKING FOR:
- Currently enrolled at a U.S.-based university pursuing a Ph.D. or advanced M.S. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong background in network simulation frameworks such as ns-3 or OMNeT++.
- Knowledge of networking architecture and algorithm design.
- Experience with P4 programming and programmable networking concepts.
- Interest in data center, cloud, or AI/ML networking technologies.
- Experience with software development tools and workflows, including debuggers, GitHub, source code control systems, and performance profilers is a plus.
- Familiarity with networking product validation or system testing is a plus.
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
AMD
2027 PhD Data Center Networking Engineer Intern/Co-Op
Santa Clara, California
Added 1d ago5,001-10,000 employees
Job functions:
Hybrid
Job Description
Overview:
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Responsibilities:
JOB DETAILS:
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
Qualifications:
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
As an AMD intern and co-op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.
JOB DETAILS:
- Location: San Jose, CA or Santa Clara,CA
- Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
- Duration:
- Spring/Summer Co-op: January 25, 2027 - August 13, 2027
- Summer Internship:
- Semester Students: May 24, 2027 - August 13, 2027
- Quarter Students: June 21, 2027 - September 10, 2027
- Summer/Fall Co-op:
- Semester Students: May 24, 2027 - December 10, 2027
- Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:
We are seeking a highly motivated Data Center Networking Engineering intern/co-op to join our team. In this role, you will:
- We will involve you in understanding AI/ML workloads, collective communication patterns, and cloud networking use cases, and applying those insights to develop realistic network traffic models.
- You will design and simulate networking algorithms and architectural models for large-scale cloud and AI/ML infrastructure networks.
- Your responsibilities will include identifying architecture, functionality, and performance challenges through simulation, analysis, and modeling.
- We will partner with you to evaluate performance versus complexity tradeoffs and explore networking solutions that can be incorporated into future AMD products.
- You will work closely with experienced engineers and receive mentorship while gaining hands-on exposure to data center and AI networking technologies.
WHO WE ARE LOOKING FOR:
- Currently enrolled at a U.S.-based university pursuing a Ph.D. or advanced M.S. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong background in network simulation frameworks such as ns-3 or OMNeT++.
- Knowledge of networking architecture and algorithm design.
- Experience with P4 programming and programmable networking concepts.
- Interest in data center, cloud, or AI/ML networking technologies.
- Experience with software development tools and workflows, including debuggers, GitHub, source code control systems, and performance profilers is a plus.
- Familiarity with networking product validation or system testing is a plus.
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
See All 656+ Data Engineer Jobs in Santa Clara
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Find Data Engineer JobsData Engineer Job Market in Santa Clara
Who's Hiring
- NVIDIA173
- PlusAI86
- Palo Alto Networks86
- ServiceNow69
- CBRE35
Top Industries Hiring
- Electronics & Hardware52
- Artificial Intelligence52
- Technology & Software35
- Energy17
- Automotive17
Data Engineer Jobs in Santa Clara: Frequently Asked Questions
How do I get a data engineer job in Santa Clara?
Start by targeting Santa Clara's dominant sectors: semiconductor firms, cloud platform companies, and enterprise software providers clustered around the Mission College and Great America Parkway corridors. Hands-on experience with distributed systems, SQL, and pipeline orchestration tools stands out here. Networking through local tech meetups and applying directly to mid-size companies in the Central Expressway corridor gives candidates an edge in this concentrated, competitive market.
Which companies hire data engineers in Santa Clara?
Santa Clara data engineer roles are posted by NVIDIA, PlusAI, and Palo Alto Networks and others right now, based on current listings on Migrate Mate as of September 2026. The local employer mix skews heavily toward chip manufacturers, cloud infrastructure providers, and B2B software companies, many of which maintain large Santa Clara engineering campuses.
Are there remote data engineer jobs in Santa Clara?
Yes, though it varies by function: pipeline engineering and analytics roles tend to be more remote-friendly, while roles tied to on-premises hardware or lab environments typically require on-site presence. About 100% of data engineer openings tied to Santa Clara are remote or hybrid as of September 2026. Roles at cloud and SaaS companies in the Great America Parkway area lean most strongly toward hybrid arrangements.
How can I get a data engineer job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is through associate data engineer or data analyst roles at mid-size semiconductor and enterprise software companies, which tend to hire early-career candidates more actively than large tech giants. Building project experience with tools common in local stacks, such as Spark, Airflow, and Snowflake, and applying to internship pipelines at companies along the Mission College corridor gives entry-level candidates a concrete advantage.
Which industries hire the most data engineers in Santa Clara?
The sectors hiring the most data engineers in Santa Clara are Electronics & Hardware, Artificial Intelligence, and Technology & Software, based on current listings on Migrate Mate as of September 2026. Santa Clara's identity as a global hub for semiconductor design and cloud infrastructure means these sectors generate consistent, high-volume demand for data engineering talent year-round.
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