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Data Engineering Jobs in Reston, VA (NOW HIRING)

KDA Consulting Inc

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Guidehouse

Data Engineer

Arlington, VA

$113K - $188K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

Guidehouse

Data Engineer

Mclean, VA

$102K - $170K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

FANTOM CORPORATION

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Required : • Must be fully cleared with a recent polygraph • Must be willing and able to work fully onsite at the location listed in this posting • 3+ years of experience in Data Engineering or ...

Guidehouse

Data Engineer

Mclean, VA

$102K - $170K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

Guidehouse

Data Engineer

Arlington, VA · On-site

$113K - $188K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

Guidehouse

Data Engineer

Arlington, VA

$113K - $188K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Strong experience in Data Engineering with hands-on development of ETL/ELT workflows. * Expertise in Python, SQL, and Spark (PySpark/Scala). * Proficiency in AWS Cloud Services (S3, Redshift, EMR ...

Andromeda Systems Incorporated

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Collaborate with software engineering teams to clean, migrate, and replicate data into and within SQL Server environments * Engineer solutions to integrate, transform, and harmonize data from diverse ...

Bespoke Technologies, Inc

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes. Key Responsibilities: * Write robust and efficient Python and SQL scripts to automate ...

The Josef Group

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes. Key Responsibilities: · Write robust and efficient Python and SQL scripts to automate ...

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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.
Palantir Data Engineer

Palantir Data Engineer

Accenture Federal Services

Chantilly, VA • On-site

$117K - $140K/yr

Other

Posted 2 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 Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. The Data Engineer will also integrate with external systems via API, parse API responses into usable data objects, design user interfaces, and develop custom functions with TypeScript. Data Engineer will conduct code reviews, solution brainstorming, and define UI designs and functionalities.

Work you'll do:

  • Movement of structure and unstructured data using approved methods.
  • Execute data ingestion activities for storing data in a local or enterprise level location.
  • Develop code to format data that supports exploration.
  • Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives.
  • Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models.
  • Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards.
  • Develop and deliver documentation for each project including ETL mappings, code use guide, code location, and access instructions.
  • Perform tier 2 level triage with customers and translate concerns into specific requirements.
  • Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions. 

Here's what you'll need:

  • 4 to 7+ years of experience with all of the following:
    • Python
    • TypeScript
    • Development and maintenance of extract, transform and load (ETL) tools and services
    • Cloud and on-prem data storage and processing solutions
    • Python, SQL, Spark and other data engineering programming
    • COTS and open-source data engineering tools such as ElasticSearch and NiFi Agile / Scrum

Bonus points if you have:

  • Palantir Foundry
  • Palantir Pipeline Builder
  • Palantir Workshop

Security clearance:

  • Active TS/SCI with Poly clearance is required

What Accenture Federal Services employees say

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Benefits

Hours and flexibility

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