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Vice President Data Engineering Jobs in Reston, VA

Vice President, Engineering

Washington, DC ยท On-site

$200 - $350/hr

This role owns the cohesion between Civis's core data platform and its growing AI product portfolio. As we scale our AI capabilities, the VP will ensure that our existing data infrastructure and IP ...

Vice President, Engineering

Washington, DC ยท On-site

$210 - $320/hr

This role owns the cohesion between Civis's core data platform and its growing AI product portfolio. As we scale our AI capabilities, the VP will ensure that our existing data infrastructure and IP ...

VP/SVP, Data Insights Focused

Washington, DC ยท On-site

$130K - $190K/yr

Powered by data, we bring world-class experts in each of our service areas to conceive, develop ... Our team is seeking a Vice President or Senior Vice President to join our Data & Analytics team in ...

VP/SVP, Data Insights Focused

Washington, DC ยท On-site

$130K - $190K/yr

Powered by data, we bring world-class experts in each of our service areas to conceive, develop ... Our team is seeking a Vice President or Senior Vice President to join our Data & Analytics team in ...

VP, Engineering

Washington, DC ยท On-site

$186K - $240K/yr

The VP of Engineering is responsible for leading the engineering team, overseeing the development and implementation of engineering projects, and ensuring alignment with the company's strategic goals.

VP, Engineering

Washington, DC ยท On-site

$220 - $340/hr

Role Summary The VP of Engineering is responsible for leading the engineering team, overseeing the development and implementation of engineering projects, and ensuring alignment with the company ...

As the VP of Operations for our colocation data centers, you will play a pivotal role in overseeing ... Interface with construction teams to engineer, propose, and build/ expand data centers. * Implement ...

VP of Operations

Ashburn, VA ยท On-site

$138 - $230/hr

Reporting directly to the SVP Operations, you will be responsible for ensuring the efficient ... Interface with construction teams to engineer, propose, and build/ expand data centers. * Implement ...

As the VP of Operations for our colocation data centers, you will play a pivotal role in overseeing ... Interface with construction teams to engineer, propose, and build/ expand data centers. * Implement ...

Vice President of Engineering

Washington, DC ยท On-site

$150 - $200/hr

... captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud ... The VP, Engineering will own how that transformation happens -- in our product, our platform and ...

VP of Operations

Ashburn, VA ยท On-site

$180 - $230/hr

Reporting directly to the SVP Operations, you will be responsible for ensuring the efficient ... Interface with construction teams to engineer, propose, and build/ expand data centers. * Implement ...

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Vice President Data Engineering information

See Reston, VA salary details

$117K

$224.3K

$414.6K

How much do vice president data engineering jobs pay per year?

As of Aug 31, 2026, the average yearly pay for vice president data engineering in Reston, VA is $224,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $187,300.00 and $241,400.00 per year, depending on experience, location, and employer.

What is a vice president data engineering?

A Vice President of Data Engineering is a senior executive responsible for leading and overseeing the data engineering function within an organization. They manage teams that design, build, and maintain data architectures, pipelines, and infrastructure to support data analytics and business intelligence. The VP of Data Engineering collaborates closely with other executives to define data strategy, ensure data quality, and enable data-driven decision-making across the company. Their role often includes setting technical direction, managing budgets, and ensuring compliance with data governance and security standards.

What are some common challenges faced by a vice president data engineering, and how can they be addressed?

A Vice President of Data Engineering often deals with challenges such as aligning data strategy with business goals, managing cross-functional teams, and ensuring data quality and security at scale. Balancing rapid innovation with system reliability can also be demanding, as can integrating new technologies with legacy systems. Success in this role typically involves strong communication with stakeholders, fostering a culture of collaboration, and investing in ongoing staff development to keep pace with evolving data landscapes.

What are the key skills and qualifications needed to thrive as a vice president data engineering, and why are they important?

To thrive as a Vice President of Data Engineering, you need deep expertise in data architecture, large-scale data systems, and team leadership, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), big data technologies (such as Hadoop, Spark), and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strategic thinking, strong communication, and the ability to mentor and motivate teams are crucial soft skills for success in this executive role. These skills and qualities are essential to drive data strategy, ensure robust system performance, and align engineering efforts with business objectives.

What is the difference between Vice President Data Engineering vs Data Engineering Manager?

AspectVice President Data EngineeringData Engineering Manager
ResponsibilitiesStrategic leadership, overseeing data infrastructure, setting visionTeam management, project execution, technical oversight
Required CredentialsBachelor's/Master's in CS, extensive experience, leadership skillsBachelor's/Master's in CS, technical expertise, management experience
Work EnvironmentExecutive-level, cross-departmental collaborationTeam-based, project-focused, technical environment
Industry UsageCommon in large organizations, strategic rolesWidespread across companies, operational roles

The Vice President Data Engineering focuses on strategic leadership and long-term vision for data infrastructure, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the VP role emphasizes leadership and strategy, whereas the manager role is more hands-on with technical implementation.

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 Vice President Data Engineering jobs in Reston, VA?

For Vice President Data Engineering jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Vice President Data Engineering jobs in Reston, VA look for?

The top searched job categories for Vice President Data Engineering jobs in Reston, VA are:

What cities near Reston, VA are hiring for Vice President Data Engineering jobs?

Cities near Reston, VA with the most Vice President Data Engineering job openings:

Infographic showing various Vice President Data Engineering job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $224,296 per year, or $107.8 per hour.

Vice President, Engineering

Washington, DC โ€ข On-site

Civis Analytics
Software Developmentย โ€ขย 51 - 200 employees

$200 - $350/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Please note that candidates must currently live in the following states: DC, Illinois, Maryland, New York or Virginia.

Civis Analytics is hiring a Vice President, Engineering to lead the companyโ€™s technical vision, architecture, and execution as we expand our platform and launch standalone AI products. Reporting to the CEO, the VP will play a critical playerโ€“coach role: setting long-term technical direction while staying close to systems, decisions, and delivery.

This role owns the cohesion between Civisโ€™s core data platform and its growing AI product portfolio. As we scale our AI capabilities, the VP will ensure that our existing data infrastructure and IP remain strong, reliable, and extensibleโ€”while guiding teams toward an AI-centric development and product environment.

What Youโ€™ll Do
  • Be the tech voice within our senior leadership team and guide decision-making and business planning as we scale;
  • Own and drive Civisโ€™s technical roadmap across both the Civis Platform and emerging AI products, ensuring alignment, cohesion, and longโ€‘term scalability
  • Lead architecture decisions across platform, data, and AI systems, balancing speed, reliability, and maintainability
  • Act as a playerโ€“coach: stay close to systems, technical tradeoffs, and delivery while empowering teams to execute independently. Guide the organization toward an AI-centric product and development environment, including tooling, workflows, and engineering practices
  • Lead and integrate a crossโ€‘functional team spanning product, engineering, data, and AI, while serving as a visible, handsโ€‘on leader and magnet for technical talent as the organization grows (approximately 15 people initially).
  • Provide thought leadership within the company; research and evaluate cuttingโ€‘edge practices and enabling technologies for internal adoption; assess potential partnerships and acquisitions;
  • Be the public face of Civis technology and data science; network, evangelize, and form relationships with press and peer organizations; participate in highโ€‘level sales meetings; and give back to the community.
What Weโ€™re Looking For (Minimum Qualifications)
  • Practical, realโ€‘world experience working with AI systems and understanding their application in production environments - beyond theory or research
  • Significant experience leading software, platform, or data engineering organizations in a handsโ€‘on leadership capacity
  • Demonstrated ability to own and evolve technical roadmaps across multiple product lines or platforms
  • Experience making architectural decisions for complex, dataโ€‘driven systems
  • Comfort getting into the technical weeds when needed to unblock teams or resolve critical issues
  • Proven ability to hire, develop, and manage highโ€‘performing technical teams
  • Clear, direct communication style and comfort making and standing behind difficult technical decisions
  • Familiarity with building and scaling AI products in production
  • Handsโ€‘on experience with modern cloud platforms and distributed systems
  • Authorization to work in the United States
You Should Apply If
  • You want to actively shape and build AI products, not just talk about them
  • You enjoy owning technical strategy while staying close to execution and delivery
  • Youโ€™re comfortable operating in ambiguity and making decisions with imperfect information
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