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Remote Data Platform Engineer Jobs in California

Data Platform Engineer

Union City, CA · Remote

$130.40K - $156.60K/yr

Remote, USA Job Type: Full-Time Experience Required: 5 to 8 years Eligibility: Male/Female both can apply Role Description We are looking for a Data Platform Engineer to build and improve the ...

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134.70K - $161.80K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience as a Data Platform Engineer or ML/AI Engineer with significant handson work in Snowflake ...

Data Platform Engineer

San Francisco, CA · On-site +1

$134.90K - $162K/yr

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma's next generation of AI-driven products and data experiences.

As a Platform Engineer at Cube , you will be responsible for designing, building, and maintaining ... in a remote, async environment. * Fluent English. Bonus points: * Experience operating data ...

We are actively seeking a Platform Engineer to join our Cloud Operations team. This is a high ... This role is fully remote for candidates who reside outside the 30 mile radius of one of our ...

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112.60K - $154.60K/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 ...

Device Experience Platform Developer

San Jose, CA · Remote

$115.20K - $218.65K/yr

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

Lead Platform Engineer

Cupertino, CA · Remote

$126.50K - $166.60K/yr

About the Team The Enterprise Data Platform team builds and operates secure, compliant, and ... Advanced Terraform expertise, including reusable module design, remote state management, provider ...

New

Senior Staff Engineer, Data

San Jose, CA · Remote

$188K - $282K/yr

Exposure to AI/ML data pipelines or real-time analytics platforms. #BI-Remote #LI-Hyrbid #LI-JM1 This job posting is for our Senior Staff Engineer, Data the base pay range for this position is $188 ...

Senior Staff Engineer, Data

San Jose, CA · Remote

$188K - $282K/yr

Exposure to AI/ML data pipelines or real-time analytics platforms. #BI-Remote #LI-Hyrbid #LI-JM1 This job posting is for our Senior Staff Engineer, Data the base pay range for this position is $188 ...

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Showing results 1-20

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 May 29, 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 are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

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 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 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:
Infographic showing various Remote Data Platform Engineer job openings in California as of May 2026, with employment types broken down into 1% Internship, 76% Full Time, 13% Part Time, 9% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Data Platform Engineer

Data Platform Engineer

Vurke Inc

Union City, CA • Remote

$130.40K - $156.60K/yr

Full-time

Posted 15 days ago


Job description

Data Platform Engineer

Job Title: Data Platform Engineer
Location: Remote, USA
Job Type: Full-Time
Experience Required: 5 to 8 years
Eligibility: Male/Female both can apply

Role Description

We are looking for a Data Platform Engineer to build and improve the underlying data infrastructure, services, and operational capabilities that power analytics, reporting, and machine learning use cases. In this role, you will focus on the technical platform side of data, including scalability, orchestration, storage patterns, reliability, and engineering standards. You will collaborate with data engineers, analysts, software teams, and platform stakeholders to ensure that the data environment is robust, efficient, and ready for growing business demands. This role is ideal for someone who enjoys building long-term technical foundations for data-driven organizations.

Key Responsibilities
  • Build and improve data platform infrastructure and services
  • Support orchestration, storage, and reliability of data systems
  • Standardize data engineering environments and workflows
  • Improve performance and scalability of data infrastructure
  • Work with cross-functional teams on platform requirements
  • Troubleshoot platform issues affecting analytics workflows
  • Maintain data platform documentation and standards
Required Skills
  • Data platform engineering
  • Pipeline and orchestration awareness
  • Scalability thinking
  • Troubleshooting
  • Performance optimization
  • Documentation
  • Platform reliability
  • Cross-team collaboration