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

Booz Allen Hamilton

Data Engineer

Washington, DC

$99K - $225K/yr

Data Engineer The Opportunity: We are seeking a Data Engineer to build and maintain cloud-native ... Build and maintain dashboards and reporting assets in Amazon QuickSight, Tableau, or Power BI to ...

SZNS Solutions LLC

Data Engineer

Reston, VA

$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 ...

Redhorse Corporation

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0. • Experience engineering data pipelines across multiple security domains/classified networks. • Experience with multiple coding ...

OpenDataJobs

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Spark-based extract, transform, and load (ETL) with Glue, Amazon EMR, Lambda, and Step Functions ... Hands-on data engineering on AWS: Spark ETL (Glue, EMR), Python and PySpark, and S3 data-lake ...

OpenDataJobs

Data Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Spark-based extract, transform, and load (ETL) with Glue, Amazon EMR, Lambda, and Step Functions ... Hands-on data engineering on AWS: Spark ETL (Glue, EMR), Python and PySpark, and S3 data-lake ...

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Showing results 21-40

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

Amazon Data Engineer information

See Washington, DC salary details

$50.3K

$146.5K

$200.4K

How much do amazon data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for amazon 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 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, DC? The most popular types of Amazon Data Engineer jobs in Washington, DC are:
What are popular job titles related to Amazon Data Engineer jobs in Washington, DC? For Amazon Data Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Amazon Data Engineer jobs in Washington, DC look for? The top searched job categories for Amazon Data Engineer jobs in Washington, DC are:
Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $146,477 per year, or $70.4 per hour.

Cleared Data Engineer

Accenture Federal Services

Washington, DC

$129K - $155K/yr

Other

Re-posted yesterday

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 481 rated business services

Job description

The work: 

  • Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 
  • Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 
  • Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 
  • Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 
  • Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 
  • Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 
  • Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here's what you need: 

  • Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 
  • Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 
  • Experience with Python, SQL, Spark, and PySpark 
  • Experience with data platforms like Databricks, Palantir, and Snowflake 
  • Familiarity with data orchestration and data quality processes 

Bonus points if you have:

  • Experience working with federal clients 
  • Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 
  • Experience with Agile / Scrum 
  • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 
  • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

 Security Clearance:  

  • Active Top Secret or TS/SCI or TS/SCI with polygraph clearance

 #LI-DataAI

What Accenture Federal Services employees say

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Hours and flexibility

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