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.
Find JobsOverview
Showing 5 of 86+ Data Infrastructure Engineer jobs
About HeyGen
At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com. Visit our Mission and Culture doc here.
Position Summary:
At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV, Photo Avatar, Instant Avatar, Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success.
Key Responsibilities:
- Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include
- Large scale data acquisition
- Multi-modal data processing framework and applications
- Storage and computation efficiency
- AI model evaluation and productionization infrastructure
- Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions.
- Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement.
- Assist in budget planning and management of cloud resources and other infrastructure expenses.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Proven experience in managing infrastructure for large-scale AI or machine learning projects
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Proficiency in Python
- Experience optimizing computational workflows
- Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch.
Preferred Qualifications:
- Experience with GPU computing
- Experience with distributed data processing system
- Experience building large scale batch inference system
- Prior experience in a startup or fast-paced tech environment.
What HeyGen Offers
- Competitive salary and benefits package.
- Dynamic and inclusive work environment.
- Opportunities for professional growth and advancement.
- Collaborative culture that values innovation and creativity.
- Access to the latest technologies and tools.
HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About HeyGen
At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com. Visit our Mission and Culture doc here.
Position Summary:
At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV, Photo Avatar, Instant Avatar, Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success.
Key Responsibilities:
- Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include
- Large scale data acquisition
- Multi-modal data processing framework and applications
- Storage and computation efficiency
- AI model evaluation and productionization infrastructure
- Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions.
- Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement.
- Assist in budget planning and management of cloud resources and other infrastructure expenses.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Proven experience in managing infrastructure for large-scale AI or machine learning projects
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Proficiency in Python
- Experience optimizing computational workflows
- Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch.
Preferred Qualifications:
- Experience with GPU computing
- Experience with distributed data processing system
- Experience building large scale batch inference system
- Prior experience in a startup or fast-paced tech environment.
What HeyGen Offers
- Competitive salary and benefits package.
- Dynamic and inclusive work environment.
- Opportunities for professional growth and advancement.
- Collaborative culture that values innovation and creativity.
- Access to the latest technologies and tools.
HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
See All 86 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
- Nuro10
- Apple5
- Microsoft5
- General Motors (GM)3
- NVIDIA3
Top Industries Hiring
- Technology & Software48
- Artificial Intelligence11
- Automotive7
- Banking & Financial Services4
- Biotechnology & Pharmaceuticals4
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 Nuro, Apple, and Microsoft, based on current listings on Migrate Mate as of June 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, Mountain View, and Santa Clara 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 15% of data infrastructure engineer openings tied to California are remote or hybrid as of June 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 86 Data Infrastructure Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Jobs