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Data Platform Engineer Jobs in California (NOW HIRING)

PlayStation Global

Data Platform Engineer

San Mateo, CA · On-site

$130K - $156K/yr

Data Platform Engineer We're looking for a highly motivated, hands-on Data Platform Engineer to help build, maintain, and evolve our cloud-based data platform on AWS and Databricks. This role is ...

PlayStation Global

Data Platform Engineer

San Mateo, CA · On-site

$125K - $188K/yr

Data Platform Engineer We're looking for a highly motivated, hands-on Data Platform Engineer to help build, maintain, and evolve our cloud-based data platform on AWS and Databricks. This role is ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and modernizing the company's enterprise data platforms across on-premises and cloud environments. This role ...

Quantix

Data Platform Engineer

San Francisco, CA

$134K - $162K/yr

Data Platform Engineer Location: San Francisco, CA Type: Direct Hire Our client in the San Francisco, CA area is looking for a Data Platform Engineer to join their team on a direct hire basis. This ...

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.

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

GSK

Senior Data Platform Engineer

South San Francisco, CA · On-site

$137K - $165K/yr

Data Platform Engineers take full ownership of delivering high-performing, high-impact data platform as products, and services, from a description of a problem customer Data Engineers are trying to ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

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 ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site

$125K - $155K/yr

As a Data 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 ...

Figma

Data Platform Engineer

San Francisco, CA · On-site

$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.

Trulioo

Data Platform Engineer

San Diego, CA · On-site

$120K - $150K/yr

Position Summary We are seeking a skilled Data Platform Engineer with a proven track record of innovation to design, build, and maintain robust data systems that power person and business search and ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

What you'll do The Data and AI Platform Engineer will design, build, and operate our nextgeneration data and AI platform, enabling highquality analytics, data science, and AI/ML capabilities at scale.

Docusign

Sr. Data Platform Engineer

San Francisco, CA · On-site

$134K - $161K/yr

What you'll do The Data and AI Platform Engineer will design, build, and operate our next-generation data and AI platform, enabling high-quality analytics, data science, and AI/ML capabilities at ...

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Showing results 1-20

All JobsData Platform Engineer JobsData Platform Engineer Jobs in California

Data Platform Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data platform engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for 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 in the Data Platform Engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a Data Platform Engineer job?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a Data Platform Engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

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 Data Platform Engineer jobs in California? For Data Platform Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in California look for? The top searched job categories for Data Platform Engineer jobs in California are:
What cities in California are hiring for Data Platform Engineer jobs? Cities in California with the most Data Platform Engineer job openings:
Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in California as of June 2026, with employment types broken down into 2% As Needed, 82% Full Time, 8% Part Time, 2% Temporary, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Data Platform Engineer

Data Platform Engineer

PlayStation Global

San Mateo, CA • On-site

$130K - $156K/yr

Other

Posted 12 days ago

Job description

San Diego Studio, maker of MLB The Show, is looking to add a Data Platform Engineer to our All-Star line-up.
Data Platform Engineer

We're looking for a highly motivated, hands-on Data Platform Engineer to help build, maintain, and evolve our cloud-based data platform on AWS and Databricks. This role is ideal for an engineer with experience in DevOps, platform engineering, or cloud infrastructure who is interested in expanding into Data Engineering while supporting a modern data ecosystem.

You will work closely with Data Engineering and Data Science teams to maintain reliable, secure, and scalable infrastructure, improve platform operations, and contribute to data pipeline development and platform tooling.
The interview process will include multiple rounds of virtual interviews. Candidates who advance to the final stage will be required to participate in an onsite interview at the San Diego Studio.

Responsibilities

Platform Administration & Cloud Infrastructure

  • Support administration of AWS services and Databricks environments.
  • Maintain platform configurations, access controls, and security best practices.
  • Assist with vendor and platform partner relationships.
  • Contribute to monitoring, troubleshooting, operational support, and reliability improvements.

Infrastructure & DevOps

  • Develop and maintain Infrastructure as Code using Terraform.
  • Improve environment provisioning and configuration management across development and production environments.
  • Support CI/CD workflows for infrastructure and platform deployments.
  • Implement and maintain operational best practices for cloud infrastructure.

Data Platform & Engineering Support

  • Support development and maintenance of data pipelines and integrations using Python, Spark, SQL, and AWS services such as API Gateway, EC2, DynamoDB, and Glue.
  • Assist with data quality validation, testing, code reviews, and documentation.
  • Collaborate with Data Engineering and Data Science teams to support analytics, machine learning, and telemetry initiatives.
  • Contribute to platform tooling and process improvements that increase team productivity and reliability.

Cost & Operational Governance

  • Support cloud cost management through resource tagging, budgeting, usage monitoring, and optimization efforts.
  • Assist with rightsizing compute, storage, and workload configurations.
  • Help identify opportunities to improve efficiency and reduce operational costs.

Required Qualifications

  • 2+ years of experience in platform engineering, DevOps, cloud infrastructure, or related engineering roles.
  • Hands-on experience with AWS services in production environments.
  • Experience working with Databricks.
  • Experience with CI/CD tools and workflows, such as GitHub Actions or Jenkins.
  • Familiarity with AWS Cost Management tools, CloudWatch, CloudTrail, and related operational tooling.
  • Understanding of security fundamentals, including IAM/RBAC, least privilege access, network controls, encryption, and secrets management.
  • Strong communication and collaboration skills in a cross-functional environment.
  • Interest in expanding into Data Engineering and supporting data-driven platforms.

Preferred Qualifications

  • Proficiency in Python and SQL.
  • Experience with AWS data services such as Glue, Kinesis, or Lambda.
  • Exposure to Spark and distributed data processing.
  • Experience developing or supporting data pipelines and ETL workflows.

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