1

Data Processor Jobs in Seattle, WA (NOW HIRING)

You will design, build, and maintain robust data infrastructure to process large volumes of data from various sources. - Writing clean, maintainable code that adheres to best practices - Leveraging ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer 2

Seattle, WA · On-site

$121K - $188K/yr

Design and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud, apply data definitions, modeling, structures, and infrastructure technologies and adhere to good ...

Data Engineer with Security Clearance

Seattle, WA · On-site

$130K - $156K/yr

Collects, stores, processes, and analyzes raw and/or complex data from multiple sources, recommends ways to apply the data, chooses and designs optimal data solutions, and builds data processing ...

Processor

Seattle, WA · On-site

$30 - $34/hr

Maintains and updates records and files for processing of each loan; verifies for accuracy and completeness; performs data entry. May prepare credit reports and/or purchase contracts. Essential Job ...

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... PAML a Labcorp company is seeking a Specimen Processor to join our team in the Tukwila, WA Work ...

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

We process big data using advanced AWS services. We work closely with PMs, TPMs, SDEs, and Applied Scientists, and collaborate with other data teams outside of the Partner and Content Foundations ...

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... PAML a Labcorp company is seeking a Specimen Processor to join our team in the Tukwila, WA Work ...

Client Data Operations Analyst

Seattle, WA · On-site

$36.88 - $43.39/hr

Process Improvement: Keep detailed documentation of client interactions to identify trends and drive operational and process improvements for the data ops team and the product teams. * Project ...

Data Engineer - Manager

Seattle, WA · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... ELT) processes and data modeling solutions • Consistently evolve data processes and techniques following industry best practices • Establish and help define reports and dashboards used to ...

next page

Showing results 1-20

Data Processor information

See Seattle, WA salary details

$13

$23

$39

How much do data processor jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data processor in Seattle, WA is $23.06, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.43 per hour, depending on experience, location, and employer.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by Data Processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What Is a Data Processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a Data Processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.
What job categories do people searching Data Processor jobs in Seattle, WA look for? The top searched job categories for Data Processor jobs in Seattle, WA are:
Infographic showing various Data Processor job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,971 per year, or $23.1 per hour.
Data Engineer, Partner Experience

Data Engineer, Partner Experience

Amazon

Seattle, WA

$130K - $156K/yr

Full-time

Posted 3 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,965 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment

Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?
As part of the Prime Video team, you'll get to work on projects that are fast-paced, challenging, and varied. Also, you'll get to experiment with new possibilities, take risks, and collaborate with remarkable people.
We'll look for you to bring your diverse perspectives, ideas, and skill sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you!
Prime Video's Partner and Content Foundations (PCF) product and data organization obsesses over partners by delivering world-class tools that enable them to launch, grow, and scale their businesses across Prime Video's business lines.
PCF Data fulfills the data and analytics needs for the PCF organization by building scalable data infrastructure, automated pipelines, and trusted metrics that power supply chain analytics, catalog analytics, and content delivery measurement


The team owns core Catalog and Quality datasets, tracking content availability, on-time delivery, offer quality, and supply chain efficiency across Prime Video's global operations. By producing quality data, providing actionable insights, and enabling self-service analytics, PCF Data drives data-driven decision-making across Product, Tech, and Operations, consistent with the goal of Getting, Keeping, and Delighting Prime Video Viewers.
Key job responsibilities
We are seeking a talented Data Engineer to enhance PCF Data's core data infrastructure by implementing AWS services to build data pipelines, improve data accuracy, reduce latency, increase service stability, and ensure compliance with Amazon-wide data regulations. The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable architectures and migrating critical pipelines to serverless compute platforms

You will also contribute to AI enablement efforts, building the data foundations that power self-service analytics and AI-driven insight generation for our product teams.
As a Data Engineer on the team, you will work with very large datasets in one of the world's largest and most complex data lake and data warehouse environments. You will design, build, and maintain robust data infrastructure to process large volumes of data from various sources.
- Writing clean, maintainable code that adheres to best practices
- Leveraging AWS data processing services
- Possessing broad knowledge of different data types and when to use them
- Understanding data security and compliance standards to ensure alignment with company policies and regulations
- Using GenAI to improve efficiency and accelerate delivery
A day in the life
Write the design document to propose the solutions to resolve challenging data processing and data handling.
Meet with peers to discuss proposed solutions.
Review design documents with product managers, senior management, and Senior SDEs to communicate your approach and gather feedback.
Build data infrastructure and pipelines using AWS services.
About the team
We are a centralized data team supporting the Partner and Content Foundations. We process big data using advanced AWS services

We work closely with PMs, TPMs, SDEs, and Applied Scientists, and collaborate with other data teams outside of the Partner and Content Foundations organization to deliver products for Prime Video partners.


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