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Amazon Data Warehouse Jobs (NOW HIRING)

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development ...

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs ... Daasity, Shopify/Amazon data * Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale)

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

Configure data warehouse platforms -- Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe ... Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 ...

Senior Data Engineer, NAST-CX Tech

Bellevue, WA · On-site

$129K - $155K/yr

Hadoop, Hive, Spark, EMR - Experience operating large data warehouses Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other ...

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

Configure data warehouse platforms - Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe ... Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 ...

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

... 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 ...

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Amazon Data Warehouse information

See salary details

$25K

$125.9K

$171K

How much do amazon data warehouse jobs pay per year?

As of Jul 23, 2026, the average yearly pay for amazon data warehouse in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Data Warehouse professional, and why are they important?

To excel as an Amazon Data Warehouse professional, you need strong SQL skills, data modeling experience, and a solid understanding of cloud data warehousing concepts, often backed by a degree in computer science or a related field. Familiarity with Amazon Redshift, AWS services (such as S3 and Glue), ETL tools, and related certifications like AWS Certified Data Analytics are highly valuable. Analytical thinking, attention to detail, and effective communication are essential soft skills for translating business requirements into scalable data solutions. These capabilities ensure efficient data management, high-quality analytics, and seamless collaboration with stakeholders in a dynamic, cloud-based environment.

Is it hard to get hired at Amazon Warehouse?

Getting hired at an Amazon Warehouse can be competitive, with requirements including physical stamina, ability to operate warehouse equipment, and sometimes prior experience. The application process involves assessments and interviews, and having relevant skills or certifications can improve chances of employment.

What are some common challenges faced by professionals working in Amazon Data Warehouse roles, and how can they be addressed?

Professionals in Amazon Data Warehouse roles often encounter challenges related to managing large-scale data integration, ensuring data quality, and optimizing query performance. Handling vast and diverse datasets requires efficient ETL (Extract, Transform, Load) pipelines and a solid understanding of AWS services like Redshift, S3, and Glue. Collaboration with data engineers, analysts, and stakeholders is essential to align data models with business requirements. Staying updated with the latest AWS features and best practices, along with continuous learning, can help address these challenges and contribute to successful project outcomes.

What is an Amazon Data Warehouse?

An Amazon Data Warehouse refers to a cloud-based storage system provided by Amazon Web Services (AWS) that is designed to store, manage, and analyze large volumes of structured and semi-structured data. The most popular solution is Amazon Redshift, which allows businesses to run complex queries and generate reports quickly. Data warehouses on AWS are scalable, cost-effective, and integrate with a wide range of data analytics tools, making them ideal for big data analytics and business intelligence operations.

How much do Amazon data centers pay?

Salaries for roles at Amazon data centers vary depending on the position, experience, and location, but generally range from $40,000 to $120,000 annually. Entry-level positions such as data center technicians often start around $50,000, while more specialized roles like data engineers or managers can earn higher salaries. Benefits typically include health insurance, paid time off, and opportunities for career advancement.

Will Amazon pay you $28 an hour to work from home?

Amazon Data Warehouse roles, such as data engineers or analysts, can offer pay rates around $28 an hour or higher, depending on experience and location. These positions often require skills in data management, SQL, and cloud platforms like AWS, and may be remote or on-site based on the role and company policies.

How much is Amazon Warehouse starting pay?

Amazon Warehouse associates typically start with an hourly pay rate of around $15 to $16, depending on location and shift. The role often requires physical tasks and may include benefits such as health insurance and employee discounts. Pay rates can increase with experience and performance.
More about Amazon Data Warehouse jobs
What cities are hiring for Amazon Data Warehouse jobs? Cities with the most Amazon Data Warehouse job openings:
What states have the most Amazon Data Warehouse jobs? States with the most job openings for Amazon Data Warehouse jobs include:
Infographic showing various Amazon Data Warehouse job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.
Data Engineer II, Amazon Publisher Monetization, Insights, APM Insights

Data Engineer II, Amazon Publisher Monetization, Insights, APM Insights

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 14 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,002 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Amazon Publisher Monetization (APM) team is shaping the future of monetization across Amazon's ad-supported publishers - Prime Video, Twitch, Fire TV, Amazon Stores, and Audio. Our mission: build Earth's most customer-centric advertising services.
We're looking for a Data Engineer to own and evolve the data foundations across APM's publisher portfolio. You'll drive architectural decisions that ensure every insight delivered to business teams is grounded in reliable, well-modeled data

The pipelines, models, and quality frameworks you build will enable trusted decision-making at scale - balancing customer experience with advertiser value.
Key job responsibilities
Design, develop, and optimize data models and end-to-end data pipelines across APM's publisher data, leveraging AWS services (such as Redshift, EMR, Airflow, Kinesis, Lambda) and internal Amazon tools
Drive architectural decisions for data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics agents, balancing short-term delivery with long-term scalability
Define and implement data quality standards across the datasets you own by building automated monitoring, investigating anomalies, and driving root-cause resolution with minimal guidance
Partner with business stakeholders to deeply understand their decision-making needs, translating ambiguous requirements into trusted, well-modeled data products
Lead the design of next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security while influencing team-wide technical direction
Support and mentor other engineers on data engineering best practices, code quality, and system design principles
A day in the life
As a Data Engineer on our team, you'll focus on architecting and maintaining the data pipelines and models that support our publisher monetization platform. You might spend your morning collaborating with analytics and business intelligence teams to understand evolving data requirements, then transition into designing schema improvements or optimizing query performance for our data warehouse. You'll work alongside software engineers to integrate new data sources, partner with product teams to validate data quality, and participate in design reviews where you'll help shape how we approach complex data challenges

Your work directly impacts the reliability of insights that business teams depend on to make strategic decisions about advertising inventory and publisher partnerships.
About the team
We are the APM Agentic Insights team, building scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization. Our mission is to create Earth's most customer-centric advertising services by ensuring that every insight delivered to business teams is grounded in reliable, well-modeled data. We work across organizational boundaries with data engineers, business intelligence engineers, scientists, and product teams to solve complex problems at scale

You'll join a group that values both technical excellence and collaborative problem-solving, where your contributions will directly shape how we serve our customers and partners.


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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