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Aws Data Engineer Jobs in Washington, DC (NOW HIRING)

Interon IT Solutions

AWS Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Client is seeking an experienced AWS Data Engineer to design, build, and support scalable cloud-based data pipelines. The ideal candidate will have strong hands-on experience with Python, PySpark, ET ...

Sidram Technologies

AWS Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration: Fulltime /Contract Onsite: 5 Days Onsite need only USC and GC Rate: 60/hr on W2 Seeking an AWS Data ...

BTree Solutions, Inc.

SR. AWS DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

Job Title: SR. AWS DATA ENGINEER Location: Reston, VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 This position is for AWS Data Engineer. 5-7+ years experience with AWS data ...

Sidram Technologies

AWS Data Engineer - w2

Reston, VA · On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration: Fulltime /Contract Onsite: 5 Days Onsite need only USC and GC Rate: 60/hr on W2 Seeking an AWS Data ...

Teamware Solutions Inc

AWS Data engineer

Reston, VA · On-site

$119K - $143K/yr

Job Title: Data Engineer Location: Reston, VA (Hybrid) Type - Full Time H1 Transfer works ... Strong knowledge on AWS services such as (S3, RDS, EC2, Lambda, SQS, SNS, Redshift) * Excellent ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

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Showing results 1-20

All JobsAws Data Engineer JobsAws Data Engineer Jobs in Washington, DC

Aws Data Engineer information

See Washington, DC salary details

$50.3K

$146.5K

$200.4K

How much do aws data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for aws data engineer in Washington, DC is $146,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,300.00 and $155,300.00 per year, depending on experience, location, and employer.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

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

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

What is the difference between Aws Data Engineer vs Data Analyst?

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Washington, DC?

The most popular types of Aws Data Engineer jobs in Washington, DC are:

What are popular job titles related to Aws Data Engineer jobs in Washington, DC?

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

What job categories do people searching Aws Data Engineer jobs in Washington, DC look for?

The top searched job categories for Aws Data Engineer jobs in Washington, DC are:

Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $146,477 per year, or $70.4 per hour.

AWS Data Engineer

Interon IT Solutions

Chantilly, VA • On-site

$117K - $140K/yr

Contractor

Posted 6 days ago

Job description

JD:
Client is seeking an experienced AWS Data Engineer to design, build, and support scalable cloud-based data pipelines. The ideal candidate will have strong hands-on experience with Python, PySpark, ETL development, and AWS data services.
This person will work with engineering, analytics, and business teams to process large datasets and deliver reliable, production-ready data solutions.
 
Key Responsibilities
* Design, develop, and maintain scalable ETL and data-processing pipelines.
* Build data-engineering solutions using Python and PySpark.
* Process and transform large structured and unstructured datasets.
* Develop cloud-based data solutions using AWS services.
* Monitor data pipelines and troubleshoot data-quality and performance issues.
* Optimize ETL workflows for reliability, scalability, and efficiency.
* Partner with application, analytics, and business teams to understand data requirements.
* Perform unit testing, code reviews, deployments, and production support.
* Follow data security, governance, and engineering best practices.
* Document technical designs, workflows, and operational procedures.
 
Required Qualifications
* Minimum 7 years of data engineering experience.
* Strong hands-on experience with Python, PySpark, ETL, and AWS.
* Strong SQL and data-transformation skills.
* Experience processing large datasets in distributed environments.
* Understanding of data modeling and cloud-based data-pipeline architecture.
* Experience troubleshooting and supporting production data pipelines.
* Strong communication and problem-solving skills.
 
Preferred Qualifications
* Hands-on Databricks experience.
* Experience with cloud-based data lakes and distributed data-processing platforms.