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Director Data Engineering Jobs in Reston, VA (NOW HIRING)

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Partner with a cross-functional team of data scientists, software engineers, and product managers ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Partner with a cross-functional team of data scientists, software engineers, and product managers ...

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How much do director data engineering jobs pay per year?

As of Jun 18, 2026, the average yearly pay for director data engineering in Reston, VA is $202,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,200.00 and $263,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Director of Data Engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a Director of Data Engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

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

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

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:
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What job categories do people searching Director Data Engineering jobs in Reston, VA look for? The top searched job categories for Director Data Engineering jobs in Reston, VA are:
What cities near Reston, VA are hiring for Director Data Engineering jobs? Cities near Reston, VA with the most Director Data Engineering job openings:
Enterprise Data Engineering & Operations Lead SME

Enterprise Data Engineering & Operations Lead SME

ECS

Fairfax, VA

Other

Posted 19 hours ago


Job description

Enterprise Data Engineering & Operations Lead Sme

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. 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.

• 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.

• 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.

• 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.

• Drives enterprise-level performance metrics including pipeline reliability, schema drift mitigation, data quality accuracy thresholds, latency targets, and recovery point objectives.

• 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.

• Guides development of training artifacts, runbooks, and productivity utilities supporting developer enablement and customer adoption of WDP data capabilities.

• Leads Data Tooling optimization by overseeing integration, hardening, and proactive monitoring of data catalogs, governance tools, orchestration systems, and data security capabilities.

• 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.

• Produces architecture artifacts, engineering recommendations, and operational readiness assessments that elevate WDP Core Integration resilience, scalability, and mission impact.

• Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).

• 15 or more years of progressive, hands-on experience in enterprise data engineering, data architecture, or data platform operations.

• Demonstrated experience leading data engineering programs at enterprise scale, including ownership of pipeline development, data governance frameworks, and tiered operational support models.

• Proven expertise with big data and streaming technologies, including Apache Spark, Apache Kafka, and Databricks.

• Direct experience designing, deploying, and managing multi-layered (medallion architecture) data systems and automated pipeline ecosystems.

• 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.

• Experience defining and enforcing enterprise data governance policies, metadata catalog standards, access control documentation, and regulatory compliance frameworks.

• Familiarity with cross-domain transfer technologies and secure data exchange processes across classified security enclaves.

• Demonstrated ability to manage SLAs, conduct structured root-cause analysis, and lead tiered (Tier-2/Tier-3) operational support organizations.

• Experience coordinating data permissions, onboarding workflows, and capability enablement for diverse mission partner communities including Combatant Commands or Joint Staff elements.

• 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.

• 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).