Data Engineer Jobs in San Jose, CA
Data Engineer jobs in San Jose, California are concentrated in Silicon Valley's core tech and semiconductor corridors, from North San Jose and Downtown to the Santana Row and Almaden Valley business clusters, with strong demand in cloud infrastructure, real-time analytics, and machine learning pipelines. Employers actively hiring include TikTok, ByteDance, and TikTok USDS JV. See the openings below and apply to the ones that match your experience.
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About Tessera Labs
Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more.
Our mission is to bring real AI automation to the enterprise—delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI.
We're backed by Andreessen Horowitz and Foundation Capital, and built by leaders from Meta AI, Google Research, Microsoft AI, SAP, Oracle, and Salesforce. We move fast, operate with extreme ownership, and build at the frontier of applied AI. Our ethos in one line: enterprise serious, AI forward.
About the role
We’re looking for a Data Platform Engineer to build the software that connects enterprise systems and makes their data usable across applications, analytics, and AI.
You’ll work at the intersection of backend engineering and data systems, building reusable capabilities for connecting to, querying, moving, and processing data.
This role is open to remote candidates, with a preference for those based in the Bay Area.
What you’ll do
At least 4+ years of experience as a Data Platform Engineer
Build core data platform capabilities. Develop services and APIs for data access, query execution, ingestion, and synchronization.
Make integrations reusable. Build connector frameworks and abstractions that support different systems and access patterns without requiring bespoke implementations.
Improve performance and resource efficiency. Identify bottlenecks in querying and data movement; apply partitioning, parallelism, and effective memory and storage management.
Own execution reliability. Build orchestration, retries, checkpointing, and observability so workloads recover predictably from failures and maintain data correctness.
Take capabilities from design to production. Work with product and engineering teams to define interfaces, make architectural tradeoffs, and operate what you build.
What you’ll bring
Strong Python and SQL, with experience building maintainable, tested production software.
Experience developing backend services, data infrastructure, or data platform components, beyond configuring pipelines.
A solid understanding of relational databases, query optimization, data formats, and the tradeoffs between querying data in place and materializing it elsewhere.
Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging.
The ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs.
Nice to have
Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure.
Experience building connector libraries, developer-facing APIs, or shared platforms used by other engineering teams is especially relevant.
Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code.
Why Tessera Labs
Build AI products that solve complex, real-world enterprise problems
Work at the intersection of AI, ERP systems, and automation
High ownership, high impact, and direct influence on product direction
Collaborate with a deeply technical and customer-focused team
No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs’ name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
Compensation Range: $200K - $300K
About Tessera Labs
Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more.
Our mission is to bring real AI automation to the enterprise—delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI.
We're backed by Andreessen Horowitz and Foundation Capital, and built by leaders from Meta AI, Google Research, Microsoft AI, SAP, Oracle, and Salesforce. We move fast, operate with extreme ownership, and build at the frontier of applied AI. Our ethos in one line: enterprise serious, AI forward.
About the role
We’re looking for a Data Platform Engineer to build the software that connects enterprise systems and makes their data usable across applications, analytics, and AI.
You’ll work at the intersection of backend engineering and data systems, building reusable capabilities for connecting to, querying, moving, and processing data.
This role is open to remote candidates, with a preference for those based in the Bay Area.
What you’ll do
At least 4+ years of experience as a Data Platform Engineer
Build core data platform capabilities. Develop services and APIs for data access, query execution, ingestion, and synchronization.
Make integrations reusable. Build connector frameworks and abstractions that support different systems and access patterns without requiring bespoke implementations.
Improve performance and resource efficiency. Identify bottlenecks in querying and data movement; apply partitioning, parallelism, and effective memory and storage management.
Own execution reliability. Build orchestration, retries, checkpointing, and observability so workloads recover predictably from failures and maintain data correctness.
Take capabilities from design to production. Work with product and engineering teams to define interfaces, make architectural tradeoffs, and operate what you build.
What you’ll bring
Strong Python and SQL, with experience building maintainable, tested production software.
Experience developing backend services, data infrastructure, or data platform components, beyond configuring pipelines.
A solid understanding of relational databases, query optimization, data formats, and the tradeoffs between querying data in place and materializing it elsewhere.
Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging.
The ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs.
Nice to have
Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure.
Experience building connector libraries, developer-facing APIs, or shared platforms used by other engineering teams is especially relevant.
Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code.
Why Tessera Labs
Build AI products that solve complex, real-world enterprise problems
Work at the intersection of AI, ERP systems, and automation
High ownership, high impact, and direct influence on product direction
Collaborate with a deeply technical and customer-focused team
No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs’ name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
Compensation Range: $200K - $300K
See All 656+ Data Engineer Jobs in San Jose
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Find Data Engineer JobsData Engineer Job Market in San Jose
Who's Hiring
- TikTok229
- ByteDance107
- TikTok USDS JV38
- Adobe31
- Google31
Top Industries Hiring
- Technology & Software46
- Electronics & Hardware23
- Aerospace & Defense8
- Consulting & Professional Services8
Data Engineer Jobs in San Jose: Frequently Asked Questions
How do I get a data engineer job in San Jose?
Focus your search on San Jose's dominant sectors: enterprise software, semiconductor design, cybersecurity, and cloud infrastructure. Roles concentrate in North San Jose's tech campuses and the Downtown innovation corridor. Candidates with hands-on experience in distributed systems, Apache Spark, or cloud platforms like AWS and Google Cloud have an edge here, since San Jose employers tend to prioritize deep technical skill over generalist data backgrounds.
Which companies hire data engineers in San Jose?
Companies currently hiring data engineers in San Jose include TikTok, ByteDance, and TikTok USDS JV, per current listings on Migrate Mate as of September 2026. The local employer mix runs from large established tech and semiconductor firms to mid-size SaaS and cybersecurity companies, making San Jose one of the most concentrated markets for data engineering talent in the country.
Are there remote data engineer jobs in San Jose?
Yes, data engineering work is relatively remote-friendly given its desk-based, code-heavy nature. About 31% of data engineer openings tied to San Jose are remote or hybrid as of September 2026, reflecting the tech industry's continued flexibility. Pipeline development and analytics work tends to be the most remote-eligible, while roles tied to on-premise infrastructure or hardware-adjacent data systems at semiconductor firms typically require on-site presence.
How can I get a data engineer job in San Jose with little or no experience?
The most realistic entry path in San Jose is targeting associate data engineer or data analyst roles at mid-size SaaS or cloud companies in North San Jose, which often hire junior candidates willing to work across the stack. Building a portfolio with public datasets and contributing to open-source projects signals readiness to local hiring teams. Community college and San Jose State University data programs also carry direct credibility with area employers.
Which industries hire the most data engineers in San Jose?
San Jose data engineer roles concentrate in Technology & Software, Electronics & Hardware, and Aerospace & Defense, based on current listings on Migrate Mate as of September 2026. San Jose's position as the heart of Silicon Valley means semiconductor, cloud, and enterprise software companies consistently generate the highest volume of data engineering openings, driven by large-scale infrastructure and product analytics needs.
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