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Senior Amazon Data Engineer Jobs in Reston, VA (NOW HIRING)

VTG

Senior Data Engineer

Herndon, 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 ...

RecruitTalent LLC.

Senior IT Data Engineer

Washington, DC · On-site

$65 - $75/hr

Senior IT Data Engineer Personnel Qualifications * At least seven years of experience evaluating ... Amazon Aurora, Snowflake, Databricks, Amazon Redshift. * Ability to use infrastructure as code (IaC ...

VTG

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 ...

VTG

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 ...

GDIT

Senior Data Engineer

Falls Church, VA · On-site

$147K - $199K/yr

Skills: Amazon Web Services (AWS), Data Architecture Development, Database Architecture ... Senior Data Engineer * Data Engineer Senior (C.5.4) - Designs, builds, and operates enterprise ...

Techno Talent Inc.

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Data Engineer (2 Openings) Location: Rockville, MD or Tysons Corner, VA Work Setting: Onsite We are ... Experience with Amazon EKS / EMR on EKS * Big Data technologies: Hadoop, Hive, Trino * Strong ...

New

Bigbear.ai

Data Engineer

Washington, DC

$109K - $146K/yr

Integrate data pipelines with Amazon Web Services (AWS) , leveraging services such as S3, Lambda ... Bachelor's degree in computer science, Engineering, Information Systems, or a related field * 4-8 ...

Accenture Federal Services

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

Lancesoft

Senior Data Engineer

Reston, VA · On-site

$70 - $75/hr

Senior Data Engineer Location: Remote Pay Range: $70/hr. To $75/hr. On w2. Profile: Data Analyst ... Amazon Q;Google Cloud AI;Google Cloud Smart Analytics;Tableau AI In this role you will: Data ...

Deloitte

Sr Databricks Data Engineer

Rosslyn, VA

$130K - $156K/yr

... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Experience with ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Deloitte

Sr Databricks Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • Experience with ...

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All JobsSenior Amazon Data Engineer JobsSenior Amazon Data Engineer Jobs in Reston, VA

Senior Amazon Data Engineer information

See Reston, VA salary details

$84.3K

$131.4K

$182.1K

How much do senior amazon data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for senior amazon data engineer in Reston, VA is $131,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $149,800.00 per year, depending on experience, location, and employer.

How much does a senior data engineer make at Amazon?

A senior data engineer at Amazon typically earns between $120,000 and $180,000 annually, depending on experience, location, and specific team. Compensation may also include bonuses and stock options, with proficiency in tools like AWS and SQL often required.

What engineer makes $500,000 a year?

Senior Amazon Data Engineers can earn $500,000 or more annually, especially with extensive experience, specialized skills in big data tools like Spark and Hadoop, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, reflecting their critical role in managing large-scale data infrastructure.

What are the key skills and qualifications needed to thrive as a Senior Amazon Data Engineer, and why are they important?

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What does a Senior Amazon Data Engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

How much does a L4 data engineer make at Amazon?

A Level 4 (L4) data engineer at Amazon typically earns between $100,000 and $130,000 annually, depending on experience and location. Compensation may also include bonuses and stock options, with roles requiring proficiency in data pipelines, SQL, and cloud tools like AWS.

What are some common challenges faced by Senior Amazon Data Engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

What is the salary of l5 data engineer in Amazon?

An L5 Data Engineer at Amazon typically earns a base salary ranging from $120,000 to $160,000 annually, depending on experience and location. Total compensation often includes bonuses and stock options, reflecting Amazon's competitive pay structure for senior technical roles.
What are the most commonly searched types of Amazon Data Engineer jobs in Reston, VA? The most popular types of Amazon Data Engineer jobs in Reston, VA are:
What are popular job titles related to Senior Amazon Data Engineer jobs in Reston, VA? For Senior Amazon Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Senior Amazon Data Engineer jobs in Reston, VA look for? The top searched job categories for Senior Amazon Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Senior Amazon Data Engineer jobs? Cities near Reston, VA with the most Senior Amazon Data Engineer job openings:
Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon Data Engineer job openings in Reston, VA as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $131,426 per year, or $63.2 per hour.
Data Engineer, Central InfraOps Analytics Team

Data Engineer, Central InfraOps Analytics Team

Amazon

Herndon, VA

Full-time

Posted 22 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

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

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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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