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Vice President Data Engineer Jobs (NOW HIRING)

HarbourVest

Vice President, Data Engineering

Boston, MA · Hybrid

$245K - $275K/yr

HarbourVest's Quantitative Investment Science (QIS) group is seeking a Vice President of Data Engineering to lead the strategy, execution, and scaled delivery of our private equity data platform.

Magellan Health, Inc.

VP, Data and Analytics

Frisco, TX · On-site

$159K - $287K/yr

The VP, Data and Analytics is accountable for the full lifecycle of Magellan Health's enterprise ... Data Engineering, Platform & Governance: Oversee all data ingestion, Extract, Transform, and Load ...

Centerline

Vice President Data Center

Richmond, VA · On-site +1

Job Summary The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ... Coordinate with estimating, engineering, and field teams to develop technical scopes of work and ...

Flexential

VP, Data Center Operations

The Vice President, Data Center Operations will play a central role in ensuring that facilities perform safely and consistently, that teams are equipped and aligned, and that the operating model can ...

Updater

VP, Data

New York, NY · On-site

Reporting to the SVP of Engineering, this leader will architect the systems, standards, and team ... Data can be consumed by humans and AI models with the correct semantic boundaries. Key ...

Updater

VP, Data

We're seeking a VP of Data to materially elevate how we make data-driven decisions across the ... Reporting to the SVP of Engineering, this leader will architect the systems, standards, and team ...

Impact Advisors

Vice President, Data & AI

$215K - $330K/yr

The new VP will harness the firm's existing data and analytics capabilities to extend services to a ... programming languages, analytical libraries, and business intelligence tools Natural leadership ...

Happen Bank

VP, Data Platforms

San Francisco, CA · On-site

The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at Happen Bank, ensuring secure, scalable, and reliable ...

BNY

Vice President, Data Privacy

Pittsburgh, PA · On-site

Vice President, Data Privacy At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

BNY

Vice President, Data Privacy

Pittsburgh, PA · Hybrid

Vice President, Data Privacy At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

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All JobsVice President Data Engineer Jobs

Vice President Data Engineer information

See salary details

$112.5K

$215.6K

$398.5K

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

As of Jul 14, 2026, the average yearly pay for vice president data engineer 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 Engineer vs Data Engineering Manager?

AspectVice President Data EngineerData Engineering Manager
CredentialsBachelor's/Master's in CS, Data Science, or related; extensive experienceBachelor's/Master's in CS or related; several years of data engineering experience
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationTeam management, project oversight, technical implementation
Industry UsageUsed in large organizations, tech companies, and enterprisesCommon in mid to large companies, tech firms, and startups

The Vice President Data Engineer focuses on strategic leadership, setting data engineering vision, and aligning data initiatives with business goals. In contrast, the Data Engineering Manager handles day-to-day team management, project execution, and technical oversight. Both roles require strong technical backgrounds, but the VP role emphasizes strategic influence and executive collaboration.

What cities are hiring for Vice President Data Engineer jobs? Cities with the most Vice President Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
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Vice President Data Engineer jobs near you
Infographic showing various Vice President Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.
Vice President, Data Engineering

Vice President, Data Engineering

HarbourVest Partners, LLC

Boston, MA • On-site

$245K - $275K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Job description

Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.
HarbourVest's Quantitative Investment Science (QIS) group is seeking a Vice President of Data Engineering to lead the strategy, execution, and scaled delivery of our private equity data platform.
This is a senior technical leadership role responsible for owning platform outcomes end-to-end-architecture, delivery, reliability, and adoption-while directly influencing how data enables investment decision-making across the firm. The VP will combine deep hands-on technical expertise with the ability to mentor senior engineers, scale teams, and deliver complex, high-impact systems in production.
Unlike pure management roles, this position requires active technical engagement in architecture, design decisions, and critical problem-solving, while building a team and operating model that delivers consistently at scale.
The ideal candidate is someone who is:
  • A senior technical leader who can operate strategically while staying hands-on in architecture, design, and critical problem-solving.
  • Accountable for end-to-end platform outcomes across architecture, delivery, reliability, adoption, and operational excellence.
  • Comfortable leading high-impact data engineering work that supports investment decision-making across the firm.
  • A strong mentor and team builder who raises the technical bar, develops senior engineers, and scales teams effectively.
  • Pragmatic in balancing speed, durability, governance, and production-quality expectations in complex data environments.

What you will do:
  • Own and evolve a production-grade, cloud-based data platform supporting deal sourcing, diligence, portfolio monitoring, reporting, and analytics.
  • Lead architecture and design decisions across modern data stacks, including Snowflake, DBT, orchestration tools, Azure, and related cloud-native capabilities.
  • Ensure data engineering capabilities are tightly integrated with application data needs, including trusted data supply, clear data contracts, reliable pipelines, and production-ready consumption patterns.
  • Ensure data quality, integrity, lineage, observability, SLAs, scalability, reliability, and performance across critical datasets and pipelines.
  • Build, lead, mentor, and scale a high-performing data engineering organization with strong ownership, accountability, and continuous improvement.
  • Drive multi-functional delivery with investment, finance, and operational partners, translating business needs into trusted, usable data products.

What you bring:
  • Deep experience designing, building, and operating modern, cloud data platforms at scale, including batch and near real-time data processing.
  • Strong proficiency with SQL, Python, Snowflake or equivalent cloud warehouses, DBT, pipeline orchestration tools such as Dagster or Airflow, and Azure data tooling.
  • Expertise in data modeling, ETL/ELT frameworks, data quality, testing, observability, performance tuning, and cost optimization.
  • Proven track record leading data engineering teams, mentoring senior engineers, and delivering data-centric platforms end-to-end in production.

Education Preferred
  • Bachelor of Science (B.S) or equivalent in Computer Science
  • Master of Science (M.S) or equivalent in Computer Science

Experience
  • 10+ Years of Data Engineering and software delivery experience preferred
  • 5+ Years of Technical Project Leadership experience, partnering directly with product, application, and operations teams

#LI-Hybrid
Base Salary Range
$245,000.00 - $275,000.00
This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.

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