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Software Engineer Data Infrastructure Jobs in California

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $400K/yr

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data ... This role is focused on building tools and software components that offload, store, manipulate and ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $400K/yr

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data ... This role is focused on building tools and software components that offload, store, manipulate and ...

Gamma

Software Engineer, Data Systems

San Francisco, CA · On-site

$134K - $162K/yr

Gamma is a company focused on building data infrastructure for massive scale. In this role, you ... Required : • 10+ years as a data or software engineer with deep expertise in distributed systems ...

Airtable

Software Engineer, Data

San Francisco, CA · On-site

$196K - $278K/yr

As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data ... Product & AI Data Infrastructure This team builds and owns the foundational data pipelines that ...

Sift

Staff Software Engineer, Data

El Segundo, CA · On-site

The Staff Software Engineer, Data will design and build scalable data infrastructure to support advanced engineering teams, defining core architecture for a telemetry platform that ingests millions ...

Sift

Staff Software Engineer, Data

San Francisco, CA · On-site

The Staff Software Engineer, Data will design and build scalable data infrastructure to support advanced engineering teams, defining core architecture for a telemetry platform that ingests millions ...

fal

Senior Software Engineer, Data

San Francisco, CA · On-site

$144K - $190K/yr

As a Senior Data Engineer at fal, you will build the data infrastructure that turns internal ... Required : • 5+ years of experience as a software or data engineer, with a software-engineering ...

Gamma

Software Engineer, Data Systems

San Francisco, CA · On-site

$134K - $162K/yr

About the role You'll own Gamma's data infrastructure and architecture as we scale to hundreds of ... years as a data or software engineer with deep expertise in distributed systems, data ...

Droyd

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

They are seeking a Staff Software Engineer on data infrastructure to own the pipelines that carry data from robot to model, architecting ingestion from edge devices and ensuring fleet data is ...

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All JobsSoftware Engineer Data Infrastructure JobsSoftware Engineer Data Infrastructure Jobs in California

Software Engineer Data Infrastructure information

See California salary details

$43.9K

$128K

$175.2K

How much do software engineer data infrastructure jobs pay per year?

As of Aug 10, 2026, the average yearly pay for software engineer data infrastructure in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

How does a software engineer data infrastructure typically collaborate with data scientists and other engineering teams?

As a Software Engineer in Data Infrastructure, you'll frequently work alongside data scientists, analysts, and other engineering teams to ensure that data pipelines and storage systems are reliable, scalable, and efficient. Collaboration often involves translating data requirements into technical solutions, troubleshooting data flow issues, and optimizing infrastructure for both performance and cost. Regular meetings, code reviews, and cross-functional planning sessions are common, allowing you to gain insights from various perspectives and ensure the infrastructure meets the evolving needs of the organization.

What is the difference between Software Engineer Data Infrastructure vs Data Engineer?

AspectSoftware Engineer Data InfrastructureData Engineer
Required CredentialsBachelor's in CS or related, often with certifications in cloud or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentDevelops and maintains data infrastructure, collaborates with data teamsBuilds data pipelines, manages data storage and processing systems
Employer & Industry UsageTech companies, data-driven organizations, cloud providersFinance, healthcare, tech firms, any industry with large data needs
Common Search & ComparisonYesYes

Software Engineer Data Infrastructure and Data Engineer roles often overlap in skills and work environment, focusing on building and maintaining data systems. However, Software Engineers Data Infrastructure tend to focus more on the underlying infrastructure and integration, while Data Engineers emphasize data pipeline development and data management. Both roles are essential in data-driven organizations and require similar credentials and industry usage.

What is a software engineer data infrastructure?

Software Engineer Data Infrastructure are professionals who design, build, and maintain the underlying systems and tools that enable organizations to collect, store, process, and analyze large volumes of data efficiently. They work on creating scalable data pipelines, managing databases, and ensuring data reliability and security. Their work supports data scientists, analysts, and business teams by providing robust, high-performance infrastructure for all data-related operations.

What are the key skills and qualifications needed to thrive as a software engineer data infrastructure, and why are they important?

To thrive as a Software Engineer Data Infrastructure, you need strong programming skills (such as Python, Java, or Scala), a solid understanding of distributed systems, and experience with data modeling and storage solutions, often backed by a degree in computer science or a related field. Familiarity with technologies like Hadoop, Spark, Kafka, SQL/NoSQL databases, and cloud platforms, as well as certifications in cloud or big data, are highly valued. Excellent problem-solving abilities, collaboration, and clear communication distinguish top performers in this role. These skills ensure robust, scalable, and reliable data infrastructure that supports organizational analytics and business goals.
What are popular job titles related to Software Engineer Data Infrastructure jobs in California? For Software Engineer Data Infrastructure jobs in California, the most frequently searched job titles are:
What job categories do people searching Software Engineer Data Infrastructure jobs in California look for? The top searched job categories for Software Engineer Data Infrastructure jobs in California are:
Software Engineer Data Infrastructure jobs near you
Infographic showing various Software Engineer Data Infrastructure job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Helix AI Engineer, Data Infrastructure

Figure

San Jose, CA • On-site

$150K - $400K/yr

Full-time

Re-posted 11 days ago

Job description

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It's time to build.
Figure's vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.
Responsibilities

  • Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
  • Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
  • Implement optimal data transmission and storage solutions for all stages of Figure's data pipeline from recording to neural network training
  • Work together with AI researchers to support new kinds of data workflows

Requirements

  • Strong software engineering fundamentals
  • Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
  • Minimum of 4 years of professional, full-time experience building reliable backend systems
  • Experience with Linux and command line tools
  • Experience with Python
  • Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).

Bonus Qualifications

  • Experience managing cloud infrastructure (AWS, Azure, GCP)
  • Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
  • Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
  • Experience building data annotation and dataset management tools.

The US base salary range for this full-time position is between $150,000 - $400,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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