2

Remote Data Engineer Jobs in Springfield, VA (NOW HIRING)

Data Engineer

Washington, DC · On-site +1

$110K - $149K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Extract Transform Load (ETL), Palantir (Software), Relational Database Certifications: None Experience: 8 + years of ...

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and architect ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data ...

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

The Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. They will be responsible for all ...

Enterprise Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured ...

Data Engineer

Germantown, MD · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

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:

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:

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:

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:

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:

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:

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:

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:

next page

Showing results 1-20

Remote Data Engineer information

See Springfield, VA salary details

$46.5K

$135.5K

$185.4K

How much do remote data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote data engineer in Springfield, VA is $135,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What are the most commonly searched types of Data Engineer jobs in Springfield, VA? The most popular types of Data Engineer jobs in Springfield, VA are:
What are popular job titles related to Remote Data Engineer jobs in Springfield, VA? For Remote Data Engineer jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Springfield, VA look for? The top searched job categories for Remote Data Engineer jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Data Engineer jobs? Cities near Springfield, VA with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Springfield, VA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $135,492 per year, or $65.1 per hour.
Data Engineer

Data Engineer

GDIT

Washington, DC • On-site, Remote

$110K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

76th of 210 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

BI Full 6C (T4)

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Analysis, Extract Transform Load (ETL), Palantir (Software), Relational Database

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

No

Job Description:

Position Description:The Data Engineer provides system and data engineering support to data analysis operations throughout the reporting and analysis lifecycle. The Engineer will build and maintain systems to extract, clean and transform data, using advanced automation and scripting tools.Position Duties:
  • Work with business owners and data analysts to develop technical solutions for reporting products.
  • Build, test and maintain database pipeline architectures.
  • Use ETL tools to extract and load data for various reports.
  • Create data validation tools.
  • Automate data analysis and collection products.
  • Create documentation and presentations.
  • Creates and maintains optimal data pipeline architecture.
  • Develops and conducts tests to ensure data solutions meet documented user requirements.
  • Analyzes IT environments to identify and assess critical capabilities and recommend solutions to problems of moderate scope and complexity.
  • Collaborates with data science team to transform data and integrate algorithms and models into automated processes.
  • Works with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • May coach and review the work of less-experienced professionals.
  • Provide ongoing training for data analysts and staff on data tools and products.
  • Assist data analysts with data preparation to create sources for data products.
  • Help create governance processes and procedures.
  • Support data collection, analysis and visualization projects as needed, including data modeling, database creation, and technical support.
  • Recommend and implement technical and automated solutions for manual processes.
  • Provide recommendations to streamline and improve current business processes.
  • Respond and fulfill data requests as required.
  • Participate in special projects as needed.
Qualifications
  • Requires BS/BA degree in related discipline along with 8 years of experience or 6 years with a Master's Degree.
  • Expert coding knowledge including SQL and Python (required), and R (preferred).
  • Experience working with Palantir Foundry, and tools such as Contour, Code Repository, Code Workbook, Pipeline Builder, Data Lineage.
  • Experience with GitHub, MongoDB, MySQL, PostgreSQL, Salesforce and Tableau.
  • Knowledge of Databricks a plus.
  • Understanding of relational and non-relational databases.
  • Experience working with large datasets, performing tasks such as data cleaning and processing (ETL).
  • Experience with automation/scripting.
  • Knowledge of cloud storage and cloud computing/analytics.
  • Understanding of data security.
  • Ability to build prototypes of new data products and to automate workflows.
  • Ability to learn and comprehend new data tools.
  • Ability to conduct feasibility studies to determine suitability to program requirements.
  • Excellent analytical and writing skills.
  • Strong verbal communication skills.
  • Highly motivated and collaborative.
Additional Requirements:
  • This position requires an existingPublic Trustor the ability to obtain one.
  • Thisrole and associated dutieswill be performedon site at a government facilitylocatedin Washington, DC.
  • #priority
The likely salary range for this position is $110,500 - $149,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA DC Washington

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

What General Dynamics Information Technology employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Dynamics Information Technology logo

About General Dynamics Information Technology

Sourced by ZipRecruiter

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US