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Open Data Jobs (NOW HIRING)

Data Analyst

Queens, NY · On-site

$65K - $75K/yr

Collects, analyzes, correlates, and visualizes Census data and other publicly available datasets, including NYC Open Data, to support planning and decision-making across QPL's service areas and ...

The initiative aims to build a public-facing portal that provides open-source disability data for a broad range of users, including researchers, policymakers, advocates, technologists, journalists ...

*ONLY OPEN TO CURRENT FULL-TIME ANNUALLY PAID PARKS EMPLOYEES* Data Analytics at the division of Innovation & Performance Management is responsible for fostering a data-informed Parks by leveraging ...

US Remote About the company dbt Labs and Fivetran have merged to create the defining open data infrastructure platform for the modern enterprise. We create the data infrastructure for AI agents you ...

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Open Data information

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$46K

$165K

$243.5K

How much do open data jobs pay per year?

As of Jun 20, 2026, the average yearly pay for open data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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 cities are hiring for Open Data jobs? Cities with the most Open Data job openings:
What states have the most Open Data jobs? States with the most job openings for Open Data jobs include:
Infographic showing various Open Data job openings in the United States 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 $165,018 per year, or $79.3 per hour.
Software Development Engineer, Open Data Analytics Fundamentals Team

Software Development Engineer, Open Data Analytics Fundamentals Team

Amazon

Redmond, WA • On-site, Remote

$128K - $154K/yr

Full-time

Posted 20 hours ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,870 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon EMR is a web service that enables customers to run massive clusters with open-source data processing frameworks like Apache Spark, Hive, Presto, Hadoop, HBase and more, with the ability to effortlessly scale up and down as needed. EMR runs across multiple deployment modes - EC2, EKS, and Serverless - serving millions of clusters across all AWS regions.
The ODA Fundamentals team owns the end-to-end lifecycle of releases across Amazon EMR (EC2, EKS, Serverless), AWS Glue, and Amazon Athena. We build, validate, register, and distribute AMIs and Docker images that power every cluster

We own the Kamino pipeline - the automated system that takes open-source frameworks and packages them into production-ready releases. We also own patching (in-place and OS-level), region builds (launching services in new AWS regions), and release automation tooling.
We are looking for a Software Development Engineer to help us build the next generation of release automation. You will design and implement services that automate the build, validation, and distribution of releases across all deployment modes and services

You will work on distributed systems that must be reliable, scalable, and secure - our pipeline directly impacts every EMR, Glue, and Athena customer. You will also contribute to reducing operational toil through automation, improving release velocity, and ensuring our services are available in every AWS region.
Successful candidates will have strong software development skills, experience with distributed systems, and a bias for automation. You should be comfortable owning end-to-end delivery - from design through deployment and operations

Experience with CI/CD pipelines, infrastructure-as-code, or release engineering is a plus.
A day in the life
You will work across the full stack - from CDK infrastructure to Java/Python services to operational tooling. You will collaborate with engine teams (Spark, Hive, Presto), platform teams (EC2, EKS, Serverless, Glue, Athena), and security teams. You will participate in on-call rotations and drive operational excellence for the release pipeline.
About the team
The ODA Fundamentals team is part of Open Data Analytics Engines (ODA-E) within AWS

We are the team behind every EMR, Glue, and Athena release - responsible for building, patching, and distributing releases across all AWS regions and deployment modes. Our mission is to make releases fully automated, zero-touch, and always green. We are currently rebuilding our core infrastructure (Kamino) as a unified serverless architecture to replace platform-specific services.
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 Here at AWS, it's in our nature to learn and be curious.

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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 in the cloud.


What Amazon employees say

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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