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Data Quality Agent Jobs (NOW HIRING)

... AI agent workflows. * Experience with cloud and infrastructure technologies, including AWS/GCP ... Experience building data quality frameworks, AI evaluation pipelines, or dataset management ...

... agent platform. The role sits within the Data & AI team and works across all investment and ... Build data quality monitoring, issue management, and remediation workflows * Develop executive ...

New

$61K - $79K/yr

... quality, agent behaviour, regression detection, and guardrail/safety testing * Develop reliable ... Partner closely with Engineering Managers, Product Managers, Designers, ML/Data Science, and other ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... quality and agent performance with monitoring and feedback loops -- catching regressions early and tying improvements to outcomes (e.g., cleaner pipeline, faster cycle times, higher adoption and ...

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As of Sep 13, 2026, the average hourly pay for data quality agent in the United States is $38.08, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $50.48 per hour, depending on experience, location, and employer.

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Infographic showing various Data Quality Agent job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $79,207 per year, or $38.1 per hour.

Data Engineer, Ring Agent Platforms

Hawthorne, CA • On-site

Amazon
IT Services • 10K+ employees

Full-time

Re-posted 24 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,177 frontline employees who took The Breakroom Quiz


Job description

We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and AI initiatives. You will own the end-to-end data lifecycle - ingestion, transformation, modeling, quality enforcement, and delivery - ensuring that analysts, scientists, and AI systems have access to reliable, well-structured data at scale.
You will use AI development IDEs and generative AI tooling daily to accelerate your work, and you will build multi-agent solutions that automate common data engineering tasks - pipeline generation, data quality enforcement, testing, and operational response. The goal is to turn repeatable patterns into agent-driven workflows that raise velocity and consistency across the team.
You will also contribute to the shared data platform when needed - improving developer tooling, maintaining infrastructure, and supporting the services that the broader data org depends on.
About the team
The Data and Agents Organization spans data engineering, business intelligence, applied science, and agentic AI

The org is structured into three primary groups: one focused on core data platforms, tooling, and pipeline infrastructure; another focused on AI/ML models, business analytics, shared data models, product analytics, and strategic science initiatives; and a third focused on building a multi-agent AI platform that enables teams to compose, deploy, and orchestrate autonomous AI agents at scale. Capacity is balanced across direct business support, strategic new development, and operational health.


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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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US