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Amazon Data Engineer Jobs in Virginia (NOW HIRING)

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

GDIT

Data Engineer

Falls Church, VA · On-site

$128K - $173K/yr

Amazon Web Services (AWS), Analytics, Data Movement Certifications: None Experience: 3 + years of ... Data Engineer * Builds and maintains Advana ingestion, transformation, and storage pipelines ...

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Amazon Data Engineer information

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$44.1K

$128.6K

$176K

How much do amazon data engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for amazon data engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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.

What are the most commonly searched types of Amazon Data Engineer jobs in Virginia? The most popular types of Amazon Data Engineer jobs in Virginia are:
What are popular job titles related to Amazon Data Engineer jobs in Virginia? For Amazon Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Amazon Data Engineer jobs in Virginia look for? The top searched job categories for Amazon Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Amazon Data Engineer jobs? Cities in Virginia with the most Amazon Data Engineer job openings:
Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.
Data Engineer, Central InfraOps Analytics Team

Data Engineer, Central InfraOps Analytics Team

Amazon

Herndon, VA • On-site

Full-time

Re-posted 12 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,936 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

As a Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization. The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, operations, logistics, engineering and equipment management.
Key job responsibilities
Design, develop, and maintain ETL pipelines to ingest data into the data warehouse and data lake
Create and optimize logical data models that drive physical design for the Infrastructure Operations organization
Implement data quality measures and ongoing monitoring to ensure data integrity
Build scalable, efficient, and maintainable data solutions that support business intelligence needs
Optimize data storage and query performance across various data platforms
Develop automated processes to replace manual data operations
Collaborate with business stakeholders to understand data and reporting requirements
Translate business questions into data solutions that drive decision-making
Mentor and develop peers in data engineering best practices
Participate in code reviews, design discussions, and team planning
Improve self-service access to data for business users
Enhance code quality and dependency management
Automate manual processes to increase efficiency
Identify and resolve root causes of complex data problems
A day in the life
At AWS, the Data Engineer fully embraces the "You Build It, You Own It" philosophy, taking complete ownership of data solutions from conception through deployment and ongoing maintenance

You design architectures, implement pipelines, and remain responsible for their health and evolution as business needs change.
Each day begins with reviewing pipeline alerts and data quality metrics, followed by a 15-30 minute team stand-up to align on priorities and discuss blockers. You'll spend time monitoring infrastructure, reviewing logs for ETL pipeline health and data lake performance, then dedicate time to address stakeholder queries and prioritizing incoming requests via email, Slack and intake forms. The majority of your time is spent developing and maintaining ETL pipelines that ingest infrastructure operational data from global data centers, which includes writing code, debugging issues, optimizing queries, and implementing quality checks

The role requires frequent context switching between developing new data models, supporting existing infrastructure, and consulting on data utilization.
Key challenges you'll tackle include unifying and understanding fragmented data from diverse data center systems, enabling infrastructure monitoring, supporting analytics for capacity planning, driving optimization through data insights, automating manual processes, creating self-service access for business users, maintaining quality across massive datasets, ensuring compliance with strict security requirements, designing for scale as AWS expands globally, and modernizing legacy systems to reduce technical debt.
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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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