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Data Engineering Jobs in Reston, VA (NOW HIRING)

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

Data Engineer

Washington, DC ยท 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 ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

DATA ENGINEER

Washington, DC ยท On-site

$129K - $155K/yr

Maintain technical documentation Required Qualifications * 1 TO 3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

DATA ENGINEER

Washington, DC ยท On-site

$129K - $155K/yr

Maintain technical documentation Required Qualifications * 2 3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Data Engineer

Chantilly, VA ยท 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 ...

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/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 ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

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Showing results 1-20

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 9, 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:
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.
Enterprise Data Engineering & Operations Lead SME

Enterprise Data Engineering & Operations Lead SME

ECS

Falls Church, VA โ€ข On-site

Full-time

Posted 21 days ago


Job description

Everforth ECS is seeking an Enterprise Data Engineering & Operations Lead SME to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax. Please Note: This position is contingent upon contract award.
The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational warfighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts.
The Enterprise Data Engineering & Operations Lead SME serves as the senior technical authority for all data engineering and operations activities supporting the WDP Core Integration program. This role provides strategic and operational leadership across all enclave architectures to ensure mission-ready, governed, and scalable data infrastructure for warfighters and defense decision-makers at enterprise scale.
โ€ข Leads enterprise data operations and advanced engineering support for WDP Core Integration, coordinating with data platform, product, governance, tooling, and enablement teams to ensure data capabilities are reliable, supportable, secure, and mission-ready across Unclassified, Secret, and Top Secret environments.
โ€ข Leads development, publication, and ongoing refinement of the Enterprise Data Engineering and Operations Plan, defining governance structures, operational workflows, data lifecycle models, and cross-domain engineering objectives aligned with WDP Core Integration modernization priorities.
โ€ข Oversees engineering of automated end-to-end data pipelines, medallion-layered storage patterns, streaming ingestion, and self-service data exchange capabilities using Databricks, Spark, Kafka, AWS GovCloud services, Azure Government components, and cross-domain transfer technologies.
โ€ข Drives enterprise-level performance metrics including pipeline reliability, schema drift mitigation, data quality accuracy thresholds, latency targets, and recovery point objectives.
โ€ข Directs Data Operations functions by orchestrating Tier-2 and Tier-3 support, root-cause diagnostics, SLA monitoring, and customer onboarding workflows in support of Combatant Commands, Joint Staff elements, and analytic mission partners across enclaves.
โ€ข Guides development of training artifacts, runbooks, and productivity utilities supporting developer enablement and customer adoption of WDP data capabilities
โ€ข Leads Data Tooling optimization by overseeing integration, hardening, and proactive monitoring of data catalogs, governance tools, orchestration systems, and data security capabilities.
โ€ข Provides strategic leadership for WDP Core Integration Data Governance by enforcing policy, catalog hygiene, access control documentation, compliance alignment, and data stewardship enablement across mission partner communities.
โ€ข Produces architecture artifacts, engineering recommendations, and operational readiness assessments that elevate WDP Core Integration resilience, scalability, and mission impact.
โ€ข Perform other duties as assigned.
โ€ข Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI)
โ€ข 15 or more years of progressive, hands-on experience in enterprise data engineering, data architecture, or data platform operations
โ€ข Demonstrated experience leading data engineering programs at enterprise scale, including ownership of pipeline development, data governance frameworks, and tiered operational support models
โ€ข Proven expertise with big data and streaming technologies, including Apache Spark, Apache Kafka, and Databricks
โ€ข Direct experience designing, deploying, and managing multi-layered (medallion architecture) data systems and automated pipeline ecosystems
โ€ข Hands-on experience with federal cloud environments, including AWS GovCloud and/or Azure Government, with demonstrated knowledge of multi-enclave architectures across NIPRNet, SIPRNet, and JWICS
โ€ข Experience defining and enforcing enterprise data governance policies, metadata catalog standards, access control documentation, and regulatory compliance frameworks
โ€ข Familiarity with cross-domain transfer technologies and secure data exchange processes across classified security enclaves
โ€ข Demonstrated ability to manage SLAs, conduct structured root-cause analysis, and lead tiered (Tier-2/Tier-3) operational support organizations
โ€ข Experience coordinating data permissions, onboarding workflows, and capability enablement for diverse mission partner communities including Combatant Commands or Joint Staff elements
โ€ข Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution
โ€ข Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management)