Data Infrastructure Engineer Jobs in California
Data Infrastructure Engineer jobs in California are among the most active in the country, concentrated in cloud computing, enterprise software, fintech, and streaming media, with openings at every level from associate infrastructure engineer through principal and staff engineer. The largest hiring metros are the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, and Salesforce maintain major engineering operations. The most in-demand specialties right now are distributed systems, cloud-native pipeline architecture, and Kubernetes-based infrastructure. Find a role that fits below and apply directly.
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Showing 5 of 77+ Data Infrastructure Engineer jobs
Minimum qualifications:
- Bachelor's degree in Computer Science, or equivalent practical experience.
- Experince in Python with modern toolchains and frameworks (e.g., uv, ruff, FastAPI, Pydantic).
- Experience building and operating data pipelines (e.g., one or more of Apache Beam, Dataflow, Flink, and Spark), and with trade-offs between batch and streaming designs.
- Experience with data storage solutions (e.g., SQL/Postgres, NoSQL, blob storage, search indexes, vector databases) and the trade-offs between them.
- Experience using coding agents to develop code and tests to specification.
Preferred qualifications:
- Experience with infrastructure-as-code (e.g., Terraform) and serverless or container platforms (e.g., Cloud Run, GKE).
- Experience implementing access control and security in data systems (e.g., row-level security, IAM, VPC Service Controls), or working with sensitive or regulated data.
- Experience with document processing at scale (e.g., OCR, PDF/Office rendering, e-discovery or load-file formats).
- Experience in start-up-like environments where priorities can change quickly, and joy in learning new technologies and teaching teammates.
- Exposure to production systems that rely heavily on ML models, including batch inference with large language models.
About the job
At DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Act like an owner ask questions, propose solutions, build consensus, and drive execution from concept to delivery.
- Build agent capabilities design and implement skills, plugins and typed tools for LLM agents that search, read, reason over and cite large private corporate.
- Engineer for production an intense focus on code and product quality, testing, CI/CD, monitoring and on-call. Keep live systems healthy while the next generation is built.
- Implement fine-grained, per-document access controls across search indexes, databases and storage, and make sure every access is logged.
- Multiply your impact with AI: use the latest AI coding agents to move fast, and help the team do the same.
Minimum qualifications:
- Bachelor's degree in Computer Science, or equivalent practical experience.
- Experince in Python with modern toolchains and frameworks (e.g., uv, ruff, FastAPI, Pydantic).
- Experience building and operating data pipelines (e.g., one or more of Apache Beam, Dataflow, Flink, and Spark), and with trade-offs between batch and streaming designs.
- Experience with data storage solutions (e.g., SQL/Postgres, NoSQL, blob storage, search indexes, vector databases) and the trade-offs between them.
- Experience using coding agents to develop code and tests to specification.
Preferred qualifications:
- Experience with infrastructure-as-code (e.g., Terraform) and serverless or container platforms (e.g., Cloud Run, GKE).
- Experience implementing access control and security in data systems (e.g., row-level security, IAM, VPC Service Controls), or working with sensitive or regulated data.
- Experience with document processing at scale (e.g., OCR, PDF/Office rendering, e-discovery or load-file formats).
- Experience in start-up-like environments where priorities can change quickly, and joy in learning new technologies and teaching teammates.
- Exposure to production systems that rely heavily on ML models, including batch inference with large language models.
About the job
At DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Act like an owner ask questions, propose solutions, build consensus, and drive execution from concept to delivery.
- Build agent capabilities design and implement skills, plugins and typed tools for LLM agents that search, read, reason over and cite large private corporate.
- Engineer for production an intense focus on code and product quality, testing, CI/CD, monitoring and on-call. Keep live systems healthy while the next generation is built.
- Implement fine-grained, per-document access controls across search indexes, databases and storage, and make sure every access is logged.
- Multiply your impact with AI: use the latest AI coding agents to move fast, and help the team do the same.
See All 77 Data Infrastructure Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsData Infrastructure Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Data Infrastructure Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Science & Research
- Distribution & Wholesale
- Biotechnology & Pharmaceuticals
What California Employers Look For
The qualifications that appear most often in data infrastructure engineer jobs across California.
- Bachelor's degree in computer science, computer engineering, or a related technical field
- Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
- Proficiency building and maintaining large-scale distributed data pipelines and storage systems
- Strong command of infrastructure-as-code tools including Terraform, Ansible, or Pulumi
- Experience with containerization and orchestration technologies, particularly Kubernetes and Docker
- Familiarity with streaming and batch processing frameworks such as Apache Kafka or Apache Spark
Data Infrastructure Engineer Jobs in California: Frequently Asked Questions
How do you become a data infrastructure engineer in California?
Most California employers expect a bachelor's degree in computer science, information systems, or a closely related engineering discipline as the baseline. There is no state-issued license required to work as a data infrastructure engineer in California. From there, the practical path is building cloud and distributed systems skills, earning vendor certifications such as the Google Professional Data Engineer or AWS Certified Data Analytics credential, and gaining hands-on experience through internships, open-source contributions, or roles at California's dense concentration of cloud-focused tech companies.
How much do data infrastructure engineers make in California?
Data infrastructure engineers in California earn a median of about $170,160 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $101,200 for the lowest 10% to over $227,900 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data infrastructure engineers in California?
Employers hiring data infrastructure engineers in California right now include Meta, ByteDance, and OpenAI, based on current listings on Migrate Mate as of November 2026. California's outsized concentration of cloud, enterprise software, and media-tech companies makes it one of the deepest markets in the country for this role.
Which California cities have the most data infrastructure engineer jobs?
San Francisco, San Jose, and Menlo Park have the most data infrastructure engineer openings in California. The Bay Area's density of cloud and enterprise software headquarters drives the bulk of demand, while Los Angeles reflects the infrastructure needs of media, streaming, and ad-tech firms, and San Diego is home to a growing cluster of biotech and defense-adjacent data engineering teams.
Are there remote data infrastructure engineer jobs in California?
Yes, and more than most fields. About 47% of data infrastructure engineer openings tied to California are remote or hybrid as of November 2026, reflecting how much of the work happens through code, cloud consoles, and distributed tooling rather than on-site hardware. The most fully remote opportunities tend to center on pipeline development, infrastructure-as-code, and cloud architecture, while roles involving physical data center operations or hardware provisioning are more likely to require an on-site presence.
How can I get hired as a data infrastructure engineer in California with little or no experience?
The most realistic entry path is coming in through an adjacent systems or data role rather than applying directly to senior infrastructure positions. Associate site reliability engineer, junior data engineer, and DevOps associate titles at California's mid-size cloud and SaaS companies frequently bring in candidates without dedicated infrastructure backgrounds. Large employers like Google, Apple, and Netflix run structured university hiring programs and internships that feed directly into infrastructure teams. A portfolio of Terraform configurations, a deployed Kubernetes project on GitHub, or a completed Google Cloud or AWS associate certification gives California hiring managers a concrete reason to move forward with an entry-level candidate.
Where can I find and apply to data infrastructure engineer jobs in California?
You can find and apply to data infrastructure engineer jobs in California on Migrate Mate, which lists current openings tied to California employers and locations. Find roles that fit your experience and apply directly from the listing.
See All 77 Data Infrastructure Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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