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Open Data Jobs in California (NOW HIRING)

Data & Analytics Engineer

Calabasas, CA

$121K - $145K/yr

Contribute to completion of open data model workstreams across inventory, media, and product functions * Expand data source connectivity and pipeline coverage across marketing and fulfillment systems

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/yr

Contribute to completion of open data model workstreams across inventory, media, and product functions * Expand data source connectivity and pipeline coverage across marketing and fulfillment systems

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

Contribute to completion of open data model workstreams across inventory, media, and product functions * Expand data source connectivity and pipeline coverage across marketing and fulfillment systems

Data Center PM

Mountain View, CA · On-site

$142K/yr

Job opening : Data Center Program Manager on W2 Location: Mountain view, CA (ONSITE) Contract on W2 Qualifications: * Bachelor's degree in computer science, electrical engineering, industrial ...

With a specialized focus on modern Data Lakehouse architectures, open table formats (Apache Iceberg), open catalog standards (Iceberg REST Catalog, Apache Polaris), and SAP's core data strategy (SAP ...

With a specialized focus on modern Data Lakehouse architectures, open table formats (Apache Iceberg), open catalog standards (Iceberg REST Catalog, Apache Polaris), and SAP's core data strategy (SAP ...

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Showing results 1-20

Open Data information

See California salary details

$45.4K

$162.9K

$240.3K

How much do open data jobs pay per year?

As of Jun 15, 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:
Infographic showing various Open Data job openings in California as of June 2026, with employment types broken down into 72% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.
Sr. Worldwide GTM Specialist - Analytics, Open Data Architecture, Data & AI GTM

Sr. Worldwide GTM Specialist - Analytics, Open Data Architecture, Data & AI GTM

Amazon

San Francisco, CA • On-site, Remote

$79.25 - $106/hr

Full-time

Posted 25 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,854 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The AWS Analytics GTM team is seeking a Senior Worldwide GTM Specialist to help accelerate adoption of open data architectures on AWS. This role will focus on driving strategic GTM initiatives that position AWS as a foundational platform for interoperable, multi-engine data and AI architectures built on open table formats such as Apache Iceberg, with AWS analytics services serving as key components of these modern architectures.
Open data architectures are becoming increasingly important as customers seek greater flexibility, interoperability, and reduced lock-in across analytics and AI environments. AWS is uniquely positioned to help customers build modern architectures that enable multiple analytics and AI engines to operate against shared open data foundations

This role will help define and scale the GTM strategies, customer engagement models, and field motions that support this vision globally.
This individual will work closely with the Principal GTM lead for open data architecture initiatives while independently owning and executing key components of the worldwide motion. The role requires a combination of strategic thinking, technical fluency, and execution rigor to help scale repeatable customer and field engagement patterns globally.
The ideal candidate has experience spanning modern analytics architectures, GTM strategy, and cross-functional execution. They should be comfortable discussing open table formats, interoperable analytics architectures, and multi-engine data platforms with customers and specialists while also driving scalable GTM programs that accelerate adoption and pipeline growth.
Key job responsibilities
Develop and execute GTM strategies that accelerate adoption of open data architectures and interoperable analytics patterns on AWS
Position AWS analytics services within multi-engine analytics and AI environments leveraging open table formats such as Apache Iceberg
Identify and scale repeatable customer engagement models, architectural GTM plays, and modernization strategies that drive adoption of AWS analytics services
Partner across AWS analytics, specialist, and partner organizations to define and operationalize best practices for interoperable and hybrid analytics architectures
Build scalable field enablement, positioning, and guidance for open data architecture strategies and multi-engine analytics patterns
Analyze customer adoption trends, competitive dynamics, and market signals to identify growth opportunities and influence GTM priorities
About the team
Diverse Experiences
AWS values diverse experiences

Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams

Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony

Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US