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Remote Data Platform Engineer Jobs in California

LottieFiles

Senior Platform Engineer

Palo Alto, CA · On-site +1

Develop and maintain internal services for authentication, file management system, data lake and ... Fully Remote Working Environment * Flexible Work Hours * A welcome gift and LottieFiles swagpack

LottieFiles

Senior Platform Engineer

Palo Alto, CA · On-site +1

Develop and maintain internal services for authentication, file management system, data lake and ... Fully Remote Working Environment * Flexible Work Hours * A welcome gift and LottieFiles swagpack

Saga

Senior Platform Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... If you would like more information about how your data is processed, please contact us.

Saga

Senior Platform Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... If you would like more information about how your data is processed, please contact us. apply for ...

Rad AI

Data Engineer

San Francisco, CA · On-site +1

$145K - $200K/yr

... platform, pipelines, and management tools. What You'll Be Doing: * Design and implement the data ... For roles listed as United States - Remote: * This role is open to candidates located anywhere in ...

PlayStation Global

Data Engineer II

Aliso Viejo, CA · Remote

$122K - $146K/yr

You bring passion and expertise to continuously improve the value that our data platform provides ... with geographically remote teams * Experience with Amazon Web Services at enterprise scale ...

Alignment Healthcare

Sr Data Engineer

Orange, CA · On-site +1

$122K - $146K/yr

As a Data Engineer, you will develop a new data engineering platform that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You ...

ZetaChain

Senior Platform Engineer

San Francisco, CA · On-site +1

$190K - $225K/yr

Our mission is to create blockchain technology that puts users in control of their data while ... About the Role We're looking for a Senior Platform Engineer to build and operate the infrastructure ...

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors ... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ...

LifeMD

Senior Platform Engineer

Huntington Beach, CA · On-site +1

$180K/yr

Mentor engineers, review designs and code, and set technical direction for platform standards ... boundaries, data migration, traffic cutover, rollback strategy * Strong observability chops ...

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Showing results 21-40

All JobsData Platform Engineer JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in California

Remote Data Platform Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do remote data platform engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote data platform engineer 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.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the most commonly searched types of Data Platform Engineer jobs in California?

The most popular types of Data Platform Engineer jobs in California are:

What are popular job titles related to Remote Data Platform Engineer jobs in California?

For Remote Data Platform Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Platform Engineer jobs in California look for?

The top searched job categories for Remote Data Platform Engineer jobs in California are:

What cities in California are hiring for Remote Data Platform Engineer jobs?

Cities in California with the most Remote Data Platform Engineer job openings:

Remote Data Platform Engineer jobs near you
Infographic showing various Remote Data Platform Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Manager, Software Engineering - Data Platform

San Francisco, CA • On-site, Remote

Figma
Specialized Design Services • 1 - 5K employees
Learn more about Figmaexternal

Full-time

Re-posted 5 days ago

Job description

Figma is a data-driven organization, and Data Platform builds the foundation that makes that possible. The platform powers everything from core business metrics and product analytics to the applied AI and experimentation systems that teams across the company rely on to build and make decisions. In this role, you'll lead engineers across Data Platform through their next phase of scale, setting technical direction, growing the team, and partnering broadly across the company.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:
  • Lead and grow a team of engineers building and operating Figma's data platform, owning delivery, technical direction, and team health
  • Set the roadmap and technical strategy for your sub area, and provide hands on technical leadership where the team needs it
  • Drive the reliability, scalability, and forward strategy of the platform as adoption grows across the engineering and product organization
  • Hire, grow, and coach engineers and tech leads, raising the bar and building a healthy, inclusive, high-performing team
  • Partner with Data Science, Product, Finance, and Engineering to identify the highest-leverage priorities and drive alignment
  • Make sound build versus buy decisions, including evaluating and managing platform vendors where it makes sense
  • Keep delivery predictable while balancing near-term execution with long-term platform investment
We'd love to hear from you if you have:
  • 3+ years managing engineers, including senior ICs or tech leads, with a track record of building and scaling high-performing teams
  • Demonstrated experience building and scaling data platform or data infrastructure systems in a production, online environment
  • A strong software engineering background with senior or staff-level technical depth before moving into management, and enough current depth to set direct technical direction
  • Strong partnership mentality and the ability to manage multiple cross-functional stakeholder groups such as Data Science, Product, Finance, and Engineering
  • Ability to set technical direction, drive alignment, and prioritize clearly under ambiguity, paired with strong written communication
While it's not required, it's an added plus if you also have:
  • Expertise in large-scale data processing systems, including batch, streaming, or applied AI and ML workloads
  • Familiarity with experimentation or feature flagging platforms
  • A track record of evaluating and managing vendor relationships
  • A demonstrated ability to develop tech leads and scale hiring at pace
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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