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Amazon Data Engineer Jobs (NOW HIRING)

Sr. Data Engineer, Amazon Fuse

Miami, FL · On-site

$109K - $131K/yr

... Amazon, including millions of Prime products and our full catalog of Prime Video. The Fuse Data Analytics (DA) team is looking for a Sr. Data Engineer to influence Fuse's decisions and direction ...

Controls Engineer, Amazon Data Services, Inc

Dublin, OH · On-site

$80K - $104K/yr

... Data Center Engineering Operations, with a deep understanding of electrical and mechanical data ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Mindlance is a company seeking a Data Engineer to support programs involving cloud data pipelines ... Responsibilities : • Build continuous, event-driven streaming pipelines using Amazon EventBridge ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Amazon Redshift, or BigQuery. * Big Data Processing : Leverage frameworks like Apache Spark ...

Amazon Data Services, Inc. Position: Business Intel Engineer II - AMZ27162.1 Location: Seattle, WA Multiple Positions Available: Support senior management by managing metrics reporting and performing ...

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Amazon Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do amazon data engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for amazon data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Data Engineer position, and why are they important?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What types of projects and data challenges do Amazon Data Engineers typically work on in their day-to-day roles?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What is an Amazon Data Engineer job?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

More about Amazon Data Engineer jobs
What cities are hiring for Amazon Data Engineer jobs? Cities with the most Amazon Data Engineer job openings:
What are the most commonly searched types of Amazon Data Engineer jobs? The most popular types of Amazon Data Engineer jobs are:
What states have the most Amazon Data Engineer jobs? States with the most job openings for Amazon Data Engineer jobs include:
What job categories do people searching Amazon Data Engineer jobs look for? The top searched job categories for Amazon Data Engineer jobs are:
Infographic showing various Amazon Data Engineer job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 33% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Sr. Data Engineer, Amazon Fuse

Sr. Data Engineer, Amazon Fuse

Amazon

Miami, FL • On-site

$109K - $131K/yr

Full-time

Posted 8 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,921 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you interested in using AI and data to drive the next phase of Amazon's growth?
Amazon Fuse (https://www.amazonfuse.com/) helps third party subscription-based businesses better serve their customers by offering the selection, convenience and value customers have come to know and love from Amazon, including millions of Prime products and our full catalog of Prime Video.
The Fuse Data Analytics (DA) team is looking for a Sr. Data Engineer to influence Fuse's decisions and direction using data insights. The ideal candidate is data-curious and possesses a strong analytical mindset

They excel at communicating with stakeholders and turning ambiguity and conjecture into actionable recommendations. They find opportunities where data will lead to better outcomes and mobilize the DA team to meet them.
In this role, you will be a technical expert with growing scope and impact. You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for business impact

We are seeking someone who can thrive in a fast-paced, high-energy work environment where we add value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who think like owners to develop themselves, their colleagues, and their team.
You use AI tools (e.g., coding assistants, generative AI) to accelerate pipeline development, improve code quality, and automate repetitive data engineering tasks while building and maintaining data pipelines that power AI-driven products and proactively identifying opportunities to embed AI into data workflows such as data validation, transformation logic, and documentation.
Key job responsibilities
- Architect, develop, and maintain scalable data infrastructure and data pipelines, leveraging AI tools to accelerate development and improve code quality.
- Extract, transform, and load data from a variety of sources using SQL, scripting, and AWS big data technologies.
- Design and implement ETL pipelines and BI solutions, identifying opportunities to embed AI into data workflows such as data validation and transformation logic.
- Collaborate with business owners, SDEs, and BI Engineers to explore new data sources and deliver insights.
- Stay up to date with advancements in big data and AI technologies and contribute to pilot projects.
- Proactively identify and resolve data-related issues reducing operational load on the team, using AI-assisted automation where applicable.


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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