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Amazon Data Management Jobs (NOW HIRING)

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ... Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the ...

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ... Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the ...

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ... Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the ...

Data Engineer, Amazon Ads

Seattle, WA

$130K - $156K/yr

... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ... Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the ...

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ... Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the ...

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ... Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the ...

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Amazon Data Management information

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$31K

$97.1K

$172K

How much do amazon data management jobs pay per year?

As of Aug 19, 2026, the average yearly pay for amazon data management in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is an Amazon Data Management?

An Amazon Data Management job involves handling, organizing, and analyzing large volumes of data to support business operations and decision-making. Professionals in this role work with databases, data pipelines, and analytics tools to ensure data accuracy, accessibility, and security. They may collaborate with engineering, product, and business teams to optimize data workflows and generate insights. Strong skills in SQL, data modeling, and cloud platforms like AWS are often required.

What does an Amazon Data Management do?

A typical day in Amazon Data Management involves collaborating with cross-functional teams to gather data requirements, ensuring the accuracy and security of large datasets, and troubleshooting data-related issues. You may work on designing and optimizing database systems, preparing reports for business stakeholders, or automating data workflows using Amazon Web Services tools. The role often includes regular stand-up meetings, hands-on technical work, and documentation tasks. You will have opportunities to learn new technologies, solve complex problems, and contribute to key business initiatives in a dynamic, data-driven environment.

What are the key skills and qualifications needed to thrive in Amazon Data Management?

To thrive in Amazon Data Management, you need strong analytical skills, expertise in data modeling, and a solid understanding of database management systems, often supported by a degree in Computer Science, Information Systems, or a related field. Familiarity with tools such as SQL, AWS data services (like Redshift, S3, and DynamoDB), and data visualization platforms is typically required, and certifications like AWS Certified Data Analytics can be advantageous. Excellent attention to detail, problem-solving abilities, and effective communication are important soft skills in this position. These capabilities are critical for ensuring data integrity, optimizing workflows, and supporting data-driven decision-making in fast-paced environments.

What careers use Amazon Data Management?

Careers that involve Amazon Data Management include data analysts, data engineers, and database administrators who work with Amazon Web Services (AWS) tools to organize, store, and analyze large datasets. These roles often require knowledge of cloud computing, data security, and tools like Amazon S3, Redshift, or DynamoDB to manage data efficiently in cloud environments.
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What states have the most Amazon Data Management jobs?

States with the most job openings for Amazon Data Management jobs include:

What job categories do people searching Amazon Data Management jobs look for?

The top searched job categories for Amazon Data Management jobs are:

Infographic showing various Amazon Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Data Engineer, Amazon Ads

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 18 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

This is a ground-up, greenfield build - Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.
What we're building:
- A finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) - the team building the next generation of agentic AI advertising products
- Pipelines and models that turn raw data into decisions for greenfield products
- Self-service reporting that scales spanning Engineering, Science, PM-T, and Design across multiple AI native advertising products
This is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.
We're looking for a senior Data Engineer who brings:
- Deep SQL fluency and 3+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale
- Hands-on depth with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)
- Strong dimensional data modeling judgment - fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision
- Python (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL
- A willingness to set the bar - define data quality, lineage, SLA, and reliability standards for the org and hold the line on them
- The ability to operate in ambiguity - turn open-ended finance and program questions into durable data products with minimal scoping help
- Excitement about leading the data partnership with Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows
- AI-native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent
Key job responsibilities
- Own it end-to-end - set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer
- Build the tools - architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth
- Land the data - integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer
- Move fast - deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive asks with bias for action
- Simplify complexity - turn messy, multi-source data into well-documented dimensional models that scale with the org
- Raise the bar - drive code and design reviews and set data quality and pipeline reliability standards


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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