1

Amazon Data Engineer Jobs in Washington (NOW HIRING)

Data Engineer II, Amazon Leo

Arlington, VA · On-site

$131K - $158K/yr

... Amazon Leo will serve communities and organizations operating in places without dependable internet access. As a Data Engineer in Leo's Global Business Operations (GBO), you will be one of the ...

Posted today

Data Engineer

Silver Spring, MD · On-site

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Build AI-enabled data solutions using Amazon Bedrock , RAG pipelines , and vector search ...

Data Engineer

Suitland, MD

$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 ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Amazon Redshift, or BigQuery. • Leverage frameworks like Apache Spark, Databricks, or Apache ...

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 ... Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon ...

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 ... Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon ...

Data Engineer, PXT Central Science

Arlington, VA · On-site

$131K - $158K/yr

Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral ... As a Data Engineer on PXTCS, you'll work side by side with economists, data scientists, software ...

AMAZON.COM SERVICES LLC Offered Position: Data Engineer III Job Location: Arlington, Virginia Job Number: AMZ9444040 Position Responsibilities: Design, develop, implement, test, document, and operate ...

Data Engineer

Washington, DC

$129K - $155K/yr

Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and PySpark ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Data Engineer

Washington, DC

$129K - $155K/yr

Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and PySpark ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

AWS Data Engineer Location: McLean, VA Type: Contract-to-Hire Compensation: $150,000.00 - $170,000 ... Build and manage a scalable lakehouse on Amazon S3 using Apache Iceberg and open columnar formats ...

New

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

AWS Data Engineer Location: McLean, VA Type: Contract-to-Hire Compensation: $150,000.00 - $170,000 ... Build and manage a scalable lakehouse on Amazon S3 using Apache Iceberg and open columnar formats ...

New

AWS Data Engineer

Mclean, VA · On-site

$170K/yr

AWS Data Engineer Location: McLean, VA Type: Contract-to-Hire Compensation: $150,000.00 - $170,000 ... Amazon Athena, Amazon EMR, AWS Glue, and Amazon Redshift. • Optimize performance and cost ...

New

Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS ... Experience with data engineering projects supporting data science, AI/ML implementations, and ...

next page

Showing results 1-20

Amazon Data Engineer information

See Washington salary details

$50.4K

$146.9K

$201K

How much do amazon data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for amazon data engineer in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What is an Amazon data engineer?

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.

What do Amazon data engineers do?

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 are the key skills and qualifications needed to thrive as an Amazon data engineer?

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.

Is an Amazon Data Engineer in demand?

Amazon Data Engineers are in high demand due to the company's extensive data infrastructure needs, with skills in cloud platforms like AWS, data pipelines, and SQL being highly sought after. The role offers strong job growth prospects as organizations increasingly rely on data-driven decision making.

What are the most commonly searched types of Amazon Data Engineer jobs in Washington?

The most popular types of Amazon Data Engineer jobs in Washington are:

What are popular job titles related to Amazon Data Engineer jobs in Washington?

For Amazon Data Engineer jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Amazon Data Engineer jobs?

Cities in Washington with the most Amazon Data Engineer job openings:

Infographic showing various Amazon Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer II, Amazon Leo

Amazon

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Posted 16 hours ago

Posted today


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,147 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.
As a Data Engineer in Leo's Global Business Operations (GBO), you will be one of the architects and engineers building up the cloud data infrastructure for use across Leo

You will be working directly on AWS to build internal tools used across the hundreds of Business Intelligence Engineers and Scientists to build business-critical reports and ML Models. You will design the data models used by these teams to efficiently dive deep into the business and extract insights. Getting in pre-launch, you have creative influence to drive this engineering direction on a native stack and your outputs will be critical to the success of Leo's ambitious mission.
Key job responsibilities
In this role, you will:
- Develop Leo data products, infrastructure and ETL pipelines to ingest, parse and transform Geospatial datasets from external & internal APIs using AWS big data technologies (Glue, S3, Redshift, MWAA, EMR, Data Zone, Lambda, etc.)
- Work alongside Data Scientists, Applied Scientists, Software Engineers and Simulation Engineers to develop appropriate data assets for statistical modeling, system integration and capacity simulations
- Improve existing solutions and come up with next generation Leo's Data Architecture to improve scale, quality and performance
- Implement data governance best practices to ensure data accuracy, consistency, and compliance with security and privacy regulations.
- Develop and maintain scripts to automate processes to generate structured datasets for forecasting POR and system inputs, with focus on efficiency and scalability
- Build data dictionary, catalog and governance plan and manage and audit all of the registered data via internal mechanisms
- Provide technical guidance and support to data consumers to leverage Global Planning data assets
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S

citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the team


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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