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Amazon Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Yorktown, VA · On-site

$101K - $121K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a ...

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and PySpark ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

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Amazon Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do amazon data engineer jobs pay per year?

As of Jun 18, 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 does a data engineer do at Amazon?

A data engineer at Amazon designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with large datasets using tools like SQL, Spark, and AWS services, ensuring data quality and accessibility for analytics and machine learning applications.

What engineers make $500,000?

Senior data engineers, especially those working at large tech companies like Amazon, can earn $500,000 or more annually, including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in data architecture, cloud platforms, and programming, as well as a strong track record of project delivery.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system optimization. Skills in programming, cloud platforms, and data management remain essential for the role.

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 is the salary of a data engineer in Amazon?

The salary of a data engineer at Amazon typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Amazon data engineers often work with tools like AWS, Spark, and Python, and may receive additional benefits such as bonuses and stock options.
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:
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What cities in Virginia are hiring for Amazon Data Engineer jobs? Cities in Virginia with the most Amazon Data Engineer job openings:
Software Development Engineer II, Amazon Security Data Engineering

Software Development Engineer II, Amazon Security Data Engineering

Amazon

Herndon, VA • On-site

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,863 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

If you thrive in a fast-paced, innovative environment and are interested in pushing the boundaries of what's possible with big data, cloud computing, and security analytics, Amazon Security Platform Engineering is the place for you. We support a suite of services and products to ingest, optimize and query petabyte scale datasets efficiently, and enable critical security use cases such as incident response, security analytics, threat-hunting, and low-latency detection.
Successful candidates for this position will possess:
Strong software engineering fundamentals, including expertise in object-oriented design, algorithms, and data structures
Experience building and operating scalable, fault-tolerant, distributed systems
Proficiency in Java, Scala or Python with a solid understanding of multi-threading and memory management
Knowledge of big data compute engines such as open table formats like Apache Iceberg, and Apache Spark, Trino, Flink.
Excellent verbal and written communication skills
Self-motivation and the ability to deliver high-quality results in a fast-paced environment.
Key job responsibilities
Build and support Amazon Security's Data Lake, consisting of services for data cataloging, optimization, compaction, re-organization, and indexing at petabyte scale.
Drive technical vision and contribute to the roadmap for systems that manage petabyte-scale data catalogs supporting Apache Iceberg, AWS Glue, Parquet, and other formats.
Design and implement distributed systems for data optimization that balance multiple latency scenarios from minute-level batch detections to month-spanning threat hunting queries.
Modernize security intelligence platform's data catalog and governance services to provide customers with rule-based access controls and fine-grained data access.
Build and support query platform services for query scheduling, routing, auditing, and engine built on Apache Spark.
Optimize data ingestion and cataloging systems that handle petabytes of data.
Partner with data engineers and security teams across AWS, Amazon Stores, Digital, and other business units to understand requirements and deliver platform capabilities.
Uphold software engineering best practices, code quality standards, and operational excellence.
Explore and build AI driven data discovery capabilities using catalog metadata to help security analysts find relevant datasets faster.
Work with AI/ML powered developer tools across the full SDLC, from AI assisted code reviews and design to agentic operational response
About the team
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
* Diverse Experiences: Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
* Inclusive Team Culture: In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
* Training & Career Growth: We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
* Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 3+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Herndon - 143,700.00 - 194,400.00 USD annually

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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