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Remote Data Platform Engineer Jobs in California

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 ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/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 ...

Figma

Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $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.

Pano

Platform Engineer

San Francisco, CA · On-site +1

$146K - $220K/yr

About Pano: We are a 175+ person growth-stage hybrid-remote start-up, headquartered in San ... other data feeds, Pano AI produces a real-time picture of threats in a geographic region and ...

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 ...

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 ...

SAIC

Data Ops Engineer VFDE

San Diego, CA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... You'll partner closely with data engineers, platform engineers, and analytics teams to deliver ...

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 ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and ...

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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 Jul 20, 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 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 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 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

Data Platform Engineer

QuickLaunch Analytics

Santa Cruz, CA • On-site, Remote

$132K - $158K/yr

Full-time

Re-posted 18 days ago

Job description

Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be considered.


AtQuickLaunchAnalytics, we help organizations simplify the complex world of data. As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.

This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting.You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.

WhatYou'llDo

  • Design and deploy modern data platforms in Azure Databricks, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization
  • Build scalable data pipelines and Lakehouse solutionsusing Python, SQL, and orchestration across Databricks and Microsoft Fabric
  • Lead customer implementations and technical delivery, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments
  • Develop and manage ETL/ELT integrationsacross third-party tools and custom APIs, ensuring reliable, production-grade data workflows
  • Implement secure, high-performance data architectures, including Unity Catalog,OneLakesecurity, networking (VPNs, private endpoints), and cost optimization
  • Partner directly with customers as a technical advisor, translating business needs into data platform solutions and driving best practices across Databricks and Fabric

Who You Are

  • Strong hands-on experience withDatabricksand/or Fabric,Spark,Python, and SQL, with the ability to build and troubleshoot production-grade data pipelines
  • Solid foundation indatabase concepts and data modeling, with experience working across structured and semi-structured datasets
  • Experience withETL/ELT tools and data integration, including tools likeFivetranand building/customizingAPI-based data pipelines
  • Comfortable working incustomer-facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric
  • Working knowledge ofidentity and access management concepts(e.g., Entra ID users, groups, and permissions)
  • Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently
  • Ability to communicate effectively with both technical and non-technical customers and team members

Nice to Have

  • Experience usingAI and automation toolsto streamline workflows, including exposure toAI agents or intelligent automation frameworks
  • Experience configuring private endpoints in Azure, including networking setup and DNS configuration
  • Understanding of Power BI and Fabric licensing and how licensing mightimpactdeployment approach
  • Familiarity withLinux environmentsand cloud-based data ecosystems


Working Location: Remote(USA)or hybrid (Santa Cruz County, CA)


Compensation:The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus.

About Us:

AtQuickLaunchAnalytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years,we'vehelped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.

We'rea team of 35+ professionals with deepexpertisein Power BI, Databricks, and Azure Cloud. Our culture is built onownership, collaboration, and continuous learning, reflected in strong outcomes for both our customers and our team.

If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact,we'dlove to hear from you.

Apply