Data Engineer Jobs in Sunnyvale, CA
Data Engineer jobs in Sunnyvale concentrate in the downtown core, the Lawrence Expressway corridor, and the Mathilda Avenue tech cluster, with the heaviest demand coming from semiconductor, cloud infrastructure, and enterprise software firms. Employers actively hiring include Apple, Google, and DoorDash. See the openings below and apply to the ones that match your experience.
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Showing 5 of 656+ Data Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in Python or C++.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in Python or C++.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
See All 656+ Data Engineer Jobs in Sunnyvale
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Find Data Engineer JobsData Engineer Job Market in Sunnyvale
Who's Hiring
- Apple290
- Google137
- DoorDash31
- Intone Networks31
- General Motors (GM)31
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
Data Engineer Jobs in Sunnyvale: Frequently Asked Questions
How do I get a data engineer job in Sunnyvale?
The clearest path is targeting Sunnyvale's dense concentration of semiconductor, cloud, and SaaS companies, where data engineering roles sit inside product, platform, and infrastructure teams. Familiarity with large-scale distributed systems and real-time pipelines carries significant weight here. Candidates who can demonstrate experience with modern data stack tools and have worked in high-throughput, low-latency environments tend to stand out against the strong local talent pool.
Which companies hire data engineers in Sunnyvale?
Employers hiring data engineers in Sunnyvale right now include Apple, Google, and DoorDash, based on current listings on Migrate Mate as of September 2026. Sunnyvale's employer mix leans heavily toward established tech companies and mid-stage startups in semiconductor design, cloud services, and enterprise SaaS, many headquartered along the Highway 237 and Central Expressway corridors.
Are there remote data engineer jobs in Sunnyvale?
Yes, though availability depends on the role, since data engineers working with on-premises infrastructure or embedded hardware systems are more likely to be required on site. About 20% of data engineer openings tied to Sunnyvale are remote or hybrid as of September 2026, reflecting broader flexibility across the local tech sector. Pipeline, analytics, and cloud-focused roles in Sunnyvale tend to offer the most remote scheduling flexibility.
How can I get a data engineer job in Sunnyvale with little or no experience?
The most realistic entry path in Sunnyvale is through a data analyst or analytics engineer role at a mid-size SaaS or semiconductor firm, where junior hires build pipeline and transformation skills on the job. Many Sunnyvale companies run internship and new-grad programs that feed directly into data engineering tracks. Building proficiency with SQL, Python, and a cloud platform like BigQuery or Redshift, then applying to companies with structured rotational programs, significantly improves your chances locally.
Which industries hire the most data engineers in Sunnyvale?
Most data engineer openings in Sunnyvale sit in Technology & Software and Electronics & Hardware, per current listings on Migrate Mate as of September 2026. Sunnyvale's role as a global center for semiconductor R&D and cloud infrastructure means these sectors generate steady, year-round hiring demand rather than cyclical spikes.
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