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Open Data Jobs in Seattle, WA (NOW HIRING)

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Open Data information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do open data jobs pay per year?

As of Jul 31, 2026, the average yearly pay for open data in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 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 Seattle, WA? For Open Data jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Open Data jobs in Seattle, WA look for? The top searched job categories for Open Data jobs in Seattle, WA are:
Open Data jobs near you
Infographic showing various Open Data job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.

Director of Engineering for Open Data Analytics Engines, Data Processing & Experience

Amazon

Redmond, WA

Full-time

Posted 11 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,025 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

AWS Open Data Analytics Engines is a suite of fully managed, high-performance analytics services built on popular open-source frameworks, enabling customers to process, analyze, and derive insights from massive datasets with speed, flexibility, and cost efficiency. Open Data Analytics Engines make it easy for organizations to run petabyte-scale analytics using familiar open-source tools without the operational burden of managing infrastructure.
AWS Open Data Analytics Engines encompasses services purpose-built for large-scale data processing, interactive querying, real-time streaming, and machine learning workloads.

The platform leverages open-source engines such as Apache Spark, Presto/Trino, Apache Flink, and Apache Hive, delivering seamless integration with the broader AWS ecosystem. Compute and storage are decoupled, enabling elastic scaling, fine-grained cost optimization, and support for diverse data lake architectures.
As Director of Engineering for Open Data Analytics Engines, you will own the strategy and technical roadmap for innovations in engine efficiency, features, and performance.

You'll lead a group of top talent in the design, development, and operation of next-generation open-source analytics services on AWS, driving advances in query planning and optimization, distributed execution, and cost-performance across the portfolio.
Key job responsibilities
Grow and lead a software development organization responsible for building key AWS analytics services based on open-source engines.
Drive the design, implementation, testing, and deployment of managed analytics services spanning batch processing, interactive queries, and real-time streaming.


Own the strategy and technical roadmap for innovations in engine efficiency, query planning and optimization, and performance - setting the direction for how AWS advances the state of the art in open-source analytics.
Draw from your deep and broad technical and management expertise to mentor senior engineers and managers, complete hands-on technical work, and provide leadership on complex technical issues, design tradeoffs, and feature and schedule prioritization.
Work with senior executives to develop business targets and resource requirements, influence technical and business strategy, hire talented engineers and managers, and conceive innovative new solutions for customers.


A day in the life
Leading the Open Data Analytics Engines team gives you the opportunity to:
Work on industry-defining products in the rapidly evolving open-source data analytics space
Solve challenging problems in distributed query execution, query planning and optimization, stream processing, resource scheduling, and performance optimization at cloud scale
Build products that deliver the power of open-source analytics with the reliability, security, and ease-of-use customers expect from AWS
Work for a company that is a recognized leader in cloud computing
Be involved in the fast-growing cloud analytics and data lake market
Develop and execute a strategic roadmap for the future of open-source analytics on AWS

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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