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Remote Data Platform Engineer Jobs in California

Tessera Labs

$200K - $250K/yr

This role is open to remote candidates, with a preference for those based in the Bay Area. What you'll do * At least 2+ years of experience as a Data Platform Engineer * Build core data platform ...

New

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... data. As aData Platform Engineer, you will play a critical role in designing, building, and ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Tessera Labs

$200K - $300K/yr

This role is open to remote candidates, with a preference for those based in the Bay Area. What you'll do * At least 4+ years of experience as a Data Platform Engineer * Build core data platform ...

New

Office Hours

Platform Engineer

OR · On-site +1

$160K - $180K/yr

Senior Platform Engineer (SF, NYC, or Remote) About Us Office Hours is an on-demand expert network ... Data & messaging: Operate PostgreSQL, MongoDB / Atlas, OpenSearch / Elasticsearch, and Temporal.

Block

Senior Software Engineer, Data Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... The Role We're hiring an experienced software engineer to build and own the data platform that ...

EDO

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... Our environment is AWS-heavy and data-intensive, with heavy use of EC2, RDS, S3, SageMaker, MWAA ...

EDO

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... Our environment is AWS-heavy and data-intensive, with heavy use of EC2, RDS, S3, SageMaker, MWAA ...

Sysdig

AI Platform Engineer

San Francisco, CA · On-site +1

Build governance into the platform - route workflows by data sensitivity, enforce least privilege ... Remote Sysdig may use responsible AI tools in connection with its recruitment and hiring efforts.

Sysdig

AI Platform Engineer

San Francisco, CA · Remote

Build governance into the platform - route workflows by data sensitivity, enforce least privilege ... Remote Sysdig may use responsible AI tools in connection with its recruitment and hiring efforts.

Together AI

Platform Engineer, Model Shaping

OR · On-site +1

$200K - $290K/yr

You will also interact with other engineering teams at Together (such as Commerce, Data Engineering ... remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our ...

Adobe

Device Experience Platform Developer

San Jose, CA · Remote

$115K - $218K/yr

Device Experience Platform Engineer - NexthinkJob Summary The Device Experience Platform Engineer ... Own platform health, data quality, and reliability. Establish standards and protocols. Digital ...

omni

Software Engineer, Growth Data Platform

San Francisco, CA · On-site +1

$134K - $162K/yr

About Omni Omni is the AI analytics platform that turns company data into a trusted source of truth ... If you are based anywhere else in the US, the role is remote. Why join us * Passionate, close-knit ...

AccelerateHC

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

... platform managing billing, operations, and automation. The company is fully remote across the US ... As a Data Migration Engineer on the client's migration delivery team, the role will own customer ...

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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.

Data Platform Engineer

On-site, Remote

Tessera Labs
See more jobs at Tessera Labsexternal

$200K - $250K/yr

Full-time

Posted 3 days ago

New

Job description

About Tessera Labs
Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more.
Our mission is to bring real AI automation to the enterprise-delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI.
We're backed by Andreessen Horowitz and Foundation Capital, and built by leaders from Meta AI, Google Research, Microsoft AI, SAP, Oracle, and Salesforce. We move fast, operate with extreme ownership, and build at the frontier of applied AI. Our ethos in one line: enterprise serious, AI forward.
About the role
We're looking for a Data Platform Engineer to build the software that connects enterprise systems and makes their data usable across applications, analytics, and AI.
You'll work at the intersection of backend engineering and data systems, building reusable capabilities for connecting to, querying, moving, and processing data.
This role is open to remote candidates, with a preference for those based in the Bay Area.
What you'll do
  • At least 2+ years of experience as a Data Platform Engineer
  • Build core data platform capabilities. Develop services and APIs for data access, query execution, ingestion, and synchronization.
  • Make integrations reusable. Build connector frameworks and abstractions that support different systems and access patterns without requiring bespoke implementations.
  • Improve performance and resource efficiency. Identify bottlenecks in querying and data movement; apply partitioning, parallelism, and effective memory and storage management.
  • Own execution reliability. Build orchestration, retries, checkpointing, and observability so workloads recover predictably from failures and maintain data correctness.
  • Take capabilities from design to production. Work with product and engineering teams to define interfaces, make architectural tradeoffs, and operate what you build.
What you'll bring
  • Strong Python and SQL, with experience building maintainable, tested production software.
  • Experience developing backend services, data infrastructure, or data platform components, beyond configuring pipelines.
  • A solid understanding of relational databases, query optimization, data formats, and the tradeoffs between querying data in place and materializing it elsewhere.
  • Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging.
  • The ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs.
Nice to have
  • Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure.
  • Experience building connector libraries, developer-facing APIs, or shared platforms used by other engineering teams is especially relevant.
  • Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code.
Why Tessera Labs
  • Build AI products that solve complex, real-world enterprise problems
  • Work at the intersection of AI, ERP systems, and automation
  • High ownership, high impact, and direct influence on product direction
  • Collaborate with a deeply technical and customer-focused team

No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs' name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.

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