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Vice President Data Engineering Jobs in Reston, VA

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 ...

Vice President of Engineering

Germantown, MD ยท On-site

$181K - $234K/yr

The Vice President of Engineering will help mature the segment engineering organization over time, ... genetic data,sexual orientation, gender identity or other legally protected status. ITAR U.S.

Vice President, Enterprise Security

Leesburg, VA ยท On-site

$158K - $198K/yr

Data runs on STACK. THE POSITION: The Vice President, Enterprise Security serves as STACK's senior ... or engineering. Advanced degree desired but not required. * Direct experience standing up or ...

Showing results 21-40

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 10, 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 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 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 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 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 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 of Engineering

Enboarder

Washington, DC โ€ข On-site

$150 - $200/hr

Other

Posted 27 days ago


Job description

Come build at the intersection of AI and fintech. At Ocrolus, weโ€™re on a mission to help lenders automate workflows with confidenceโ€”streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.

Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating stateโ€‘ofโ€‘theโ€‘art open- and closedโ€‘source AI models with our humanโ€‘inโ€‘theโ€‘loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to creditโ€”ultimately creating a more inclusive financial system.

Trusted by more than 400 customersโ€”including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Squareโ€”Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the worldโ€™s most innovative lenders do business.

We're at an inflection point. Large language models, agentic AI and our proprietary humanโ€‘inโ€‘theโ€‘loop verification engine are converging. The VP, Engineering will own how that transformation happens โ€” in our product, our platform and how our teams build.

This is a playerโ€‘coach role: a handsโ€‘on technical leader who progressed through the IC route โ€” Architect or Principal Engineer โ€” gets into the weeds when it matters, and leads at the executive level. You build the team and stay in the game.

WHAT YOU'LL OWN Engineering delivery and velocity
  • Own end-to-end engineering execution: roadmap planning, sprint cadence, release quality and cross-team dependency management
  • Partner with the Product teams to align engineering capacity with product priorities; surface honest tradeoffs early
  • Drive a culture of high velocity and high trust โ€” ship fast, learn fast, fix fast
AI-native platform and product
  • Lead the engineering strategy for integrating LLMs, agentic workflows and AI-native development practices into Ocrolus products at scale
  • Drive adoption of modern developer productivity tools and AI-augmented engineering workflows across all teams
  • Define standards for AI output quality, hallucination control, cost governance and production reliability
  • Compress idea-to-ship cycles for GenAI features; set the bar for moving from prototype to production
  • Partner with the ML and AI Transformation teams to embed AI into internal workflows, not just external products
Architecture, scalability and reliability
  • Remain deeply handsโ€‘on: lead architecture reviews, own critical system design decisions and drive technical decisionโ€‘making โ€” not from a distance
  • Own the technical roadmap across distributed systems, platform architecture, scalability and reliability for your engineering domain
  • Set and enforce engineering standards: code quality, observability, incident response and security
  • Make highโ€‘stakes architectural calls that balance speed, cost and longโ€‘term maintainability
Engineering organization
  • Lead and grow a distributed engineering org across the US and India as one of three VP Engineering leaders; partner closely with peer VPs under the CTO
  • Manage directors and senior managers; coach them into leaders who scale with the company
  • Set the hiring bar, build the interview machine and recruit senior talent in a competitive AIโ€‘era market
  • Own DEI and retention outcomes within your domain
Executive and cross-functional leadership
  • Represent engineering at the executive level; contribute to the narrative on technology execution, risks and investments
  • Own your domain's engineering budget: headcount planning, tooling spend and cloud cost optimization
  • Partner with Sales and Customer Success on enterprise commitments, SLA design and escalation resolution
WHAT WE'RE LOOKING FOR Nonโ€‘negotiables
  • 14+ years in software engineering with at least 5 years in engineering leadership; has scaled through Series C or equivalent growth
  • Strong IC background โ€” progressed through the Architect or Principal Engineer route with deep ownership of architecture, system design and technical decisionโ€‘making
  • Handsโ€‘on experience shipping AI/ML systems to production: LLMs, RAG, agentic workflows or document intelligence โ€” not just oversight
  • Proven ability to build and scale largeโ€‘scale distributed platforms with high availability and reliability requirements
  • Has partnered with a CTO or CEO on technical strategy; comfortable in the executive seat
  • Deep expertise in distributed systems, cloudโ€‘native microservices architecture at scale (AWS preferred)
Strong signal
  • Background in fintech, document AI, IDP (Intelligent Document Processing) or regulated dataโ€‘intensive industries
  • Experience running engineering in a humanโ€‘inโ€‘theโ€‘loop or hybrid AI/human system
  • Built or rebuilt engineering culture โ€” hiring bar, onboarding, performance, career ladders โ€” from a growthโ€‘stage baseline
  • Familiarity with modern developer productivity tooling and AIโ€‘augmented SDLC practices
  • Comfortable operating across US and India time zones with globally distributed teams
WHY OCROLUS NOW
  • AIโ€‘native at the core: integrating stateโ€‘ofโ€‘theโ€‘art open- and closed-source models into a platform processing $100B+ in lending decisions annually
  • Category leader: 400+ enterprise customers including PayPal, Brex, SoFi, Plaid, Better Mortgage, Enova and Square
  • Real moat: proprietary HITL verification engine, 10+ years of labeled financial document data, 99%+ accuracy at scale
  • Remoteโ€‘first culture built on Empathy, Curiosity, Humility and Ownership
Life at Ocrolus

Weโ€™re a team of builders, thinkers, and problem solvers who care deeply about our mission โ€” and each other. As a fast-growing, remoteโ€‘first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.

Our culture is grounded in four core values:
  • Empathy โ€“ Understand and serve with compassion
  • Curiosity โ€“ Explore new ideas and question the status quo
  • Humility โ€“ Listen, be grounded, and remain openโ€‘minded
  • Ownership โ€“ Love what you do, work hard, and deliver excellence

We believe diverse perspectives drive better outcomes. Thatโ€™s why weโ€™re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.

We look forward to building the future of lending together.

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