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Remote Lead Data Engineer Jobs in Reston, VA (NOW HIRING)

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

You'll lead a team that owns the AI self-service portal and the related set of microservices. You'll work with a cross-functional team of engineers to contribute to our data platform. The role also ...

This role operates at the intersection of architecture, engineering, analytics, AI, and mission ... Lead end-to-end data modeling strategy, including canonical data models, semantic layers, MDM ...

This role operates at the intersection of architecture, engineering, analytics, AI, and mission ... Lead end-to-end data modeling strategy, including canonical data models, semantic layers, MDM ...

This role operates at the intersection of architecture, engineering, analytics, AI, and mission ... Lead end-to-end data modeling strategy, including canonical data models, semantic layers, MDM ...

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243926 Location: Washington,DC,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that ... You may serve as the primary data engineering lead for initiatives and utilize strong leadership ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with team lead functions, creating solutions within a collaborative and cross-functional ...

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position. Job ... Lead and support data migration initiatives, including schema mapping and transformation logic.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239091 Location: Chantilly,VA,US Share job via: Share Data Engineer ... In this role, you will lead a team of data engineers to design modern, cloud-native solutions ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0244707 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

Lead Consultant, Data Engineer

Arlington, VA · On-site +1

$120K - $150K/yr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and ... This role is open to remote candidates in the US. This role is not open for work sponsorship at ...

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

... our customers lead in a rapidly evolving defense landscape. We empower both our employees and ... This is a fully remote position. Here, your work is more than a job - it's a journey in innovation.

Data Engineer (DoD Secret | Remote)

Washington, DC · Remote

$129K - $155K/yr

Data Engineer (DoD Secret | Remote) Location: Remote (U.S. Based) Clearance: Active DoD Secret Clearance (or higher) Make an Impact on Military Healthcare and Readiness * Join Rackner to modernize ...

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Remote Lead Data Engineer information

See Reston, VA salary details

$44.2K

$128.8K

$187.8K

How much do remote lead data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote lead data engineer in Reston, VA is $128,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $140,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a Remote Lead Data Engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

What is a Remote Lead Data Engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.
What are popular job titles related to Remote Lead Data Engineer jobs in Reston, VA? For Remote Lead Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
Infographic showing various Remote Lead Data Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $128,780 per year, or $61.9 per hour.
Lead Data Engineer

Lead Data Engineer

Ex Parte, Inc

Bethesda, MD • On-site, Remote

$122K - $146K/yr

Full-time

Posted 19 days ago


Job description

Company Description
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.
We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined.
Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
Job Description
You'll lead a team that owns the AI self-service portal and the related set of microservices. You'll work with a cross-functional team of engineers to contribute to our data platform. The role also offers the opportunity to grow into either more back-end or ML/AI work depending on your interests and experience.
In this role, you can expect to:
• Work directly with product owners and data experts to build products that solve to solve complex client problems
• Build and support a distributed platform supporting all ExParte data
• Work across our product, primarily on the data pipelines
• Interface directly with internal teams
• Evaluate software and implementation options and document them for technical teams
• Work with data analysts to collect insight on possible data collection efficiencies and identify automation potential for manual workflows
• Integrate best qualitative practices in program design and development.
• Be a part of a distributed team (we're in North America and Europe)
• Work with Azure cloud and Databricks
• Develop technical architectures and specific implementations to meet business needs.
• Guide the team's software engineering best practices by documenting standards and completing code reviews.
• Troubleshoot new and existing code and provide feedback and solutions to structural issues in the codebase as they arise.
• Advise on the feasibility of nonfunctional requirements and ensure the successful implementation of features while meeting those requirements.
Qualifications
Requirements:
• 3+ years experience with RDBMS and T-SQL.
• 3+ years experience with NoSQL and DataLakes.
• 3+ Knowledge of Spark, Python, or Scala
• Strong familiarity with map/reduce programming models
• Proficiency in writing production-quality code
• Deep expertise in database schema design, optimization, and scalability
• Experience with Azure or AWS cloud-based service-oriented architecture
• Solid understanding of testing pyramid (unit, integration, black box, service)
• Experience working in an Agile/Scrum environment
• Strong analytical and problem-solving skills
• Good time management and organizational skills
• Ability to work on challenging issues independently or in a team environment
• Ability to learn and adapt quickly to new technologies and environments
• Strong communication skills
Nice-to-have's:
• Experience with Databricks or Azure ML
• Experience applying machine learning algorithms to solve complex data mining problems
• Experience with BI tools
• Understanding of cloud platforms and providers and DevOps
• Bachelor's Degree in Computer Science, Engineering, Mathematics or related field
Additional Information
All your information will be kept confidential according to EEO guidelines.