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Amazon Data Management Jobs (NOW HIRING)

Amazon

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 ...

Amazon

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 ...

Amazon

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 ...

Amazon

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 ...

Amazon

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 ...

Amazon

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 ...

Amazon

Finance Manager, Amazon Devices

Seattle, WA · On-site

... management Summarize financial performance and drive Ad hoc analyses as needed for executive ... Learn and understand a broad range of Amazon's data resources and know how, when, and which to use.

Amazon

Finance Manager, Amazon Devices

Seattle, WA

... management Summarize financial performance and drive Ad hoc analyses as needed for executive ... Learn and understand a broad range of Amazon's data resources and know how, when, and which to use.

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Amazon Data Management information

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How much do amazon data management jobs pay per year?

As of Jul 29, 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.

Is data management a good career option?

Data management is a viable career choice, especially for roles like Amazon Data Management, which involve organizing, storing, and maintaining data using tools like databases and data warehouses. It offers opportunities in various industries, requires analytical skills, and often benefits from certifications in data management or related fields. The demand for data professionals continues to grow as organizations rely more on data-driven decision-making.

What is an Amazon Data Management job?

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.

How much does Amazon pay a Data Analyst?

Amazon Data Analysts typically earn an average salary ranging from $70,000 to $100,000 per year, depending on experience, location, and specific role responsibilities. Entry-level positions may start lower, while experienced analysts with advanced skills in SQL, Excel, and data visualization tools can earn higher salaries.

What does a typical day look like for someone in an Amazon Data Management role?

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 the Amazon Data Management position, and why are they important?

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 is Amazon's highest paying job?

At Amazon, the highest paying roles are typically executive positions such as Vice President or Senior Vice President, which can offer total compensation exceeding several million dollars annually, including base salary, bonuses, and stock options. These roles require extensive experience, leadership skills, and often involve overseeing large divisions or strategic initiatives.

How much do Amazon data center managers make?

Amazon data center managers typically earn between $80,000 and $150,000 annually, depending on experience, location, and responsibilities. They oversee data center operations, manage teams, and ensure system reliability, often requiring technical skills and certifications in data center management or related fields.
More about Amazon Data Management jobs
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:
Amazon Data Management jobs near you
Infographic showing various Amazon Data Management job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, 8% Hybrid, and 25% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Data Engineer, Amazon Ads

Amazon

Seattle, WA

$130K - $156K/yr

Full-time

Posted 27 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,021 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

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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