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Data Engineering Jobs in Reston, VA (NOW HIRING)

Accenture Federal Services

Data Engineering Lead

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate ...

Lovelytics

Architect, Data Engineering

Arlington, VA · On-site +1

$170K - $190K/yr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization -- all delivered on Databricks, with deep partnerships across AWS, Azure ...

AAMC

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

Data Engineer is a key role on a centralized data engineering team that supports a wide range of data applications across the organization.This role focuses on building and maintaining reliable ...

MasterCard

Manager, Data Engineering

Arlington, VA · Hybrid

Title and Summary Manager, Data Engineering Overview: Mastercard Services Technology is seeking a Manager, Data Engineering to lead the delivery of data solutions that power client engagements across ...

Deloitte

Databricks Data Engineering Manager

Arlington, VA · On-site

$131K - $158K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

Deloitte

Databricks Data Engineering Manager

Rosslyn, VA · On-site

$130K - $156K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

MasterCard

Senior Principal, Data Engineering

Arlington, VA · On-site

$144K - $199K/yr

Title and Summary Senior Principal, Data Engineering Overview: Mastercard Services Technology is seeking a Senior Principal Data Engineer to help drive our mission of unlocking the full potential of ...

Citian

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

You exhibit excellent knowledge of data engineering disciplines, including experience working with large datasets in a Python/SQL environment. You will also have hands-on knowledge of the latest data ...

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All JobsData Engineering JobsData Engineering Jobs in Reston, VA

Data Engineering information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do data engineering jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data engineering in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Reston, VA? The most popular types of Data Engineering jobs in Reston, VA are:
What are popular job titles related to Data Engineering jobs in Reston, VA? For Data Engineering jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Reston, VA look for? The top searched job categories for Data Engineering jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Engineering jobs? Cities near Reston, VA with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $171,677 per year, or $82.5 per hour.
Data Engineering Lead

Data Engineering Lead

Accenture Federal Services

Arlington, VA • On-site

$131K - $158K/yr

Other

Re-posted 5 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 441 rated business services

Job description

Job Description

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate automated, end-to-end data pipelines, create and maintain data models and schemas, and contribute to the overall scalability, reliability, and security of the data platform. Implement data processing frameworks and technologies, design and optimize data storage solutions, and develop data transformation logic to support analytics requirements. Implement data quality checks and validation procedures, establish data lineage tracking mechanisms, and troubleshoot data pipeline issues. Collaborate with data scientists and analysts to understand data requirements, work with security teams to implement data protection measures, and stay current with data engineering technologies and best practices. Document data architecture and pipelines, participate in data governance activities, and contribute to continuous improvement of data engineering processes.

Must have:

  • 8 years of experience in data engineering, data pipeline design, and management
  • Must meet DoD 8140 requirements
  • Bachelor's degree (or 4 years of additional equivalent experience) in IT, Cybersecurity, Computer Science, Information Systems, Data Science, Software Engineering

Security Clearance:

  • Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position 

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