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Open Data Jobs in California (NOW HIRING)

Socket.dev

Senior Staff Software Engineer

San Francisco, CA · On-site

$150 - $200/hr

On the platform engineering team, you'll work on some of our most challenging problems, from building an open data lake for health records, to building dev ops for our next 100x growth, to defining ...

New

NexHealth

Senior Staff Software Engineer

San Francisco, CA

$144K - $190K/yr

On the platform engineering team, you'll work on some of our most challenging problems, from building an open data lake for health records, to building dev ops for our next 100x growth, to defining ...

NexHealth

Senior Software Engineer, Platform

San Francisco, CA · On-site

$144K - $190K/yr

On the platform engineering team, you'll work on some of our most challenging problems, from building an open data lake for health records, to building dev ops for our next 100x growth, to defining ...

J. Paul Getty Trust, The

Software Engineer

Los Angeles, CA · On-site

$100K - $136K/yr

Getty is dedicated to using Linked Open Data across our architecture, and to the use of IIIF for access to rich media assets. About the Getty Getty is among the most prestigious cultural heritage ...

Esri

Contract Specialist

Redlands, CA · On-site

Experience with open-source software and open data licensing considerations * Knowledge of privacy, artificial intelligence and security * Work experience using Conga and Salesforce #LI-KH4 #LI ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Retire reports that nobody opens. Data quality and reliability * Write dbt tests on every model: not-null, unique, relationships, accepted values, and custom business rules. * Add freshness checks ...

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Showing results 21-40

All JobsOpen Data JobsOpen Data Jobs in California

Open Data information

See California salary details

$45.4K

$162.9K

$240.3K

How much do open data jobs pay per year?

As of Aug 7, 2026, the average yearly pay for open data in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is open data?

Open data refers to data that is made publicly available for anyone to access, use, and share without restrictions. It is typically provided by governments, organizations, or institutions in formats that are easy to read and process, such as CSV or JSON files. The goal of open data is to promote transparency, innovation, and informed decision-making by making information freely available to the public. Open data can be used in a variety of fields, including research, journalism, business, and civic engagement.

What is the difference between Open Data vs Data Analyst?

AspectOpen DataData Analyst
Required CredentialsNone specific; open data is publicly availableBachelor's degree in data science, statistics, or related field
Work EnvironmentPublic repositories, government portals, open data platformsCorporate offices, consulting firms, or data teams within organizations
Employer & Industry UsageGovernment agencies, research institutions, NGOsBusinesses, marketing, finance, healthcare sectors
Common Search & Comparison IntentUnderstanding open data sources and accessibilityAnalyzing data to derive insights for decision-making

Open Data involves publicly available datasets used for research, transparency, or public benefit, while Data Analysts interpret and analyze data to support organizational decisions. Both roles require analytical skills, but Data Analysts typically have specialized training and work within private or corporate environments, whereas Open Data focuses on data sharing and accessibility for the public or research purposes.

What are some common challenges faced by professionals working in open data roles when collaborating with different departments?

Professionals in Open Data roles often encounter challenges such as varying data standards across departments, differing levels of data literacy, and concerns about data privacy or security. Building consensus on data sharing protocols and ensuring data quality can require extensive communication and advocacy. Effective Open Data specialists foster collaboration by translating technical concepts into accessible language and working closely with IT, legal, and policy teams to align on best practices and compliance.

What are the key skills and qualifications needed to thrive as an open data specialist, and why are they important?

To thrive as an Open Data Specialist, you need strong data analysis skills, proficiency in data management, and a background in fields such as information science, statistics, or computer science. Familiarity with open data platforms, data visualization tools, and knowledge of data standards or metadata schemas are typically required, along with relevant certifications like Certified Open Data Practitioner. Excellent communication, collaboration, and problem-solving skills help translate complex data findings to diverse audiences and stakeholders. These abilities are crucial for ensuring data transparency, accessibility, and impactful use of open data resources.
What are popular job titles related to Open Data jobs in California? For Open Data jobs in California, the most frequently searched job titles are:
What job categories do people searching Open Data jobs in California look for? The top searched job categories for Open Data jobs in California are:
Open Data jobs near you
Infographic showing various Open Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Senior Staff Software Engineer

Socket.dev

San Francisco, CA • On-site

$150 - $200/hr

Other

Posted 2 days ago

New

Job description

Requirements
  • 10+ years of experience as a software engineer, with a focus on building scalable back-end systems and platforms
  • Deep experience integrating and scaling storage systems, cloud-native services, and related open source projects, including the Kubernetes ecosystem, AWS, and PostgreSQL
  • Knowledge of common DevOps tools and practices
  • Firm grasp of quality and security engineering principles. You understand not just the what, but also the why
  • A vision for what great software and great engineering looks like, and the technical expertise and leadership skills to make that vision a reality
  • Excellent systems-level thinking. You can understand all the different components of a distributed system, how they interact, and how customer journeys and data flows touch each part
  • Excellent written and verbal communication skills. You can communicate technical concepts to business stakeholders, and business needs to the engineering team
What the job involves
  • On the platform engineering team, you’ll work on some of our most challenging problems, from building an open data lake for health records, to building dev ops for our next 100x growth, to defining and building the next generation of health record system integrations for the industry
  • Keep up with our exponentially growing customer base and associated dataset, scaling our data processing and storage layer from terabytes to petabytes and beyond
  • Build and maintain bidirectional, real-time integrations with dozens of EHRs, scaling to hundreds or thousands of integrations
  • Drive improvements to our core systems to unlock 100x growth in the number of practices, patients, and developers relying on our platform
  • Own cross-functional projects end to end, from technical design and decomposition to a successful launch and rollout
  • Partner with engineering leaders and product managers to generate, prioritize, and deliver on ambitious engineering goals
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