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Amazon Data Engineer Jobs in Washington (NOW HIRING)

Senior Data Engineer

Herndon, VA

$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 ...

AWS Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration ... Design and optimize data storage and querying in Amazon Redshift * Write performant SQL for data ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0241347 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

The Data Engineer works with moderate supervision across two equally weighted domains: (1) large ... Experience with foundation model APIs (Anthropic Claude, Amazon Nova, OpenAI, or similar) * Memory ...

Data Engineer

Washington, DC · 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 ...

New

Senior IT Data Engineer

Washington, DC · On-site

$65 - $75/hr

Amazon Aurora, Snowflake, Databricks, Amazon Redshift. * Ability to use infrastructure as code (IaC) such as Terraform, AWS CloudFormation to build and configure data systems as part of a DevOps ...

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 ...

Showing results 41-60

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 Aug 14, 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 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.

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 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 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 job categories do people searching Amazon Data Engineer jobs in Washington look for?

The top searched job categories for Amazon Data Engineer jobs in Washington 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 76% Full Time, and 24% Contract. Highlights an 85% In-person, 7% Hybrid, and 8% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Senior Data Engineer

VTG

Herndon, VA

$109K - $148K/yr

Full-time

Re-posted 27 days ago


Job description

Overview

VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to solve difficult technical problems.

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly impact the efficiency and effectiveness of data processing, setting the stage for advanced data analysis and decision-making. The ideal candidate will bring a proven track record of building and implementing ETL processes, with a keen eye for optimizing data for various enterprise applications. If you have a passion for data engineering and are ready to take on a challenge that marries technical prowess with mission-critical analysis, this is the opportunity for you.


What will you do?
  • As a Data Engineer in this role, you will be at the forefront of transforming financial data into actionable insights for a mission-driven customer.

  • Your primary responsibility will be to develop, optimize, and maintain robust ETL processes and data pipelines.

  • You will leverage your expertise in Python and SQL to condition and normalize both raw and structured data, enhancing its usability and searchability within downstream enterprise tools. Your work will be pivotal in implementing cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks.

  • Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable workflows to support the team's objectives.

  • Your success in this position will be bolstered by your ability to work independently as well as collaboratively with a team of technical experts, data managers, and operational stakeholders. Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a cloud environment. While not mandatory, a background in Kubernetes will give you an edge, as will any experience with financial data and language translation models.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Education:UNAVAILABLEEmployment Type: FULL_TIME