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Vice President Data Engineering Jobs (NOW HIRING)

Remote (US) with periodic travel to engineering hubs Reports to: Chief Technology Officer A quick snapshot... As the Vice President of Data Architecture at Conga , you will define and lead the ...

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PFSbrands is seeking a Vice President of Data to unify the company's data ecosystems across its ... Required : • 8+ years of experience in data, analytics, or data engineering, with management and ...

$165K - $212K/yr

Role Specific Information About the Role The VP, Data Architecture and Engineering is accountable for the vision, strategy, and execution of the enterprise data platform and engineering capabilities ...

You will partner with product, engineering, clinical, and commercial leadership to ensure data and ... Chief Technology Officer As the VP of Data Strategy at Trella, you will lead: Strategy & Vision

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Vice President Data Engineering information

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$112.5K

$215.6K

$398.5K

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

As of Jun 28, 2026, the average yearly pay for vice president data engineering in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 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 engineers make $500,000?

Senior data engineers, machine learning engineers, and cloud infrastructure engineers with extensive experience and advanced skills can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level typically requires strong expertise in distributed systems, programming, and certifications, along with leadership responsibilities or specialized technical roles.

How much does a VP of data engineering make?

A Vice President of Data Engineering typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on company size, location, experience, and industry, and the role requires strong technical skills in data architecture and leadership experience.

What are 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 of 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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and optimize data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

What are some common challenges faced by a Vice President of 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.

Is EVP a high position?

An Executive Vice President (EVP) is a senior leadership role often ranking just below the C-suite, such as CEO or COO. In many organizations, the EVP oversees large departments or divisions and is considered a high-level executive position with significant strategic responsibilities.
What cities are hiring for Vice President Data Engineering jobs? Cities with the most Vice President Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Vice President Data Engineering jobs? States with the most job openings for Vice President Data Engineering jobs include:
What job categories do people searching Vice President Data Engineering jobs look for? The top searched job categories for Vice President Data Engineering jobs are:
Infographic showing various Vice President Data Engineering job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 70% In-person, 5% Hybrid, and 25% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.
Vice President - Data Acquisition

Vice President - Data Acquisition

CARFAX

Centreville, VA • On-site

Full-time

Posted 3 hours ago


Job description

Join our team as Vice President - Data Acquisition
 
The VP, Data Acquisition is responsible for sourcing, developing, and implementing data acquisition models across the United States, Canada, and Europe, including local, state, provincial, national government, public policy, and private sector initiatives that support CARFAX's products, services, and business priorities. The role also owns the growth and stewardship of CARFAX's existing data partnership portfolio.
 
Success means a healthy and expanding pipeline of public and private data sources, multi-year roadmap clarity tied to CARFAX's global expansion goals, and disciplined economics on every acquisition decision.
 
Core Responsibilities
  • Partnership Development. Identify, qualify, and secure new data opportunities across public and private sectors. Cultivate relationships with government and industry stakeholders that map to CARFAX's product roadmap and geographic expansion.
  • Portfolio Growth and Stewardship. Maintain and grow current data partnerships. Serve as the senior relationship owner for strategic providers and renewal cycles.
  • Data Roadmap and Strategy. Develop and maintain a multi-year data roadmap that aligns with CARFAX's global expansion goals, with documented assumptions, dependencies, and sequencing across regions.
  • Budget Ownership. Manage the data acquisition budget with a focus on product-driven acquisition and clear ROI thresholds. Make tradeoffs explicit and protect margins.
  • External Representation. Represent CARFAX at relevant conferences and with key associations. Serve as a credible senior voice with regulators, agency leaders, and industry partners.
  • Team Leadership. Manage direct reports, consultants, and advocates. Build a team capable of running its own pipeline while you also drive senior-level deals personally.
  • Cross-Functional Partnership. Interface with internal business teams in support of company objectives. Partner with Data Services, Analytics, and Product to validate data quality and ensure usable, production-grade integration.

Candidate Profile

  • Business Development Strength. Strong business development, sales, and account management track record across both public and private sectors. Comfortable owning a personal pipeline while also leading a team.
  • Public Sector Fluency. Demonstrated ability to manage and negotiate public-sector agreements, including procurement, legal review, and multi-party approvals.
  • Private Sector Experience.  Direct experience working with automotive sector OEMs, auctions and insurance companies.
  • Strategic Thinking and Problem Solving. Thinks and acts strategically against company objectives. Translates ambiguous opportunities into structured plans and clear next steps.
  • Communication and Negotiation. Polished presenter and skilled negotiator. Effective at creating win-win agreements in person and in virtual settings, and at addressing tough questions in real time.
  • Internal Collaboration. Strong internal network builder with a track record of partnering across product, technology, analytics, legal, and finance.

Success Markers and Key Qualifications

Area 
Requirement 
Tenure 
10+ years of automotive industry or data experience preferred
Public and Private Sector Experience 
Prior experience managing and negotiating both public-sector and private-sector agreements preferred
Leadership 
Proven track record managing direct reports while also driving personal pipeline
Performance Orientation 
Persistent goal achievement; comfort with performance-based metrics
Location 
DC Metro area, based at CARFAX HQ
Travel 
Willing and able to travel up to 25%, or as needed