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Vice President Data Engineer Jobs (NOW HIRING)

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

Responsibilities : • Own the long-term data strategy in partnership with Engineering, Finance ... prior VP / Head of Data Engineering scope (or equivalent) • Proven ownership of data systems ...

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ... We're a trusted and strategic partner to engineers, contractors, distributors, specifiers ...

NY · On-site

$315 - $375/hr

Senior Vice President, Data Operations Location: New York, NY (Hybrid 3x a week in office, remote ... Partner with Product, Engineering, and Data Science leaders to align roadmaps with business ...

About the Role The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at Happen Bank -from Marketing, Personal ...

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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 Aug 4, 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:
What states have the most Vice President Data Engineer jobs? States with the most job openings for Vice President Data Engineer jobs include:
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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.

VP Data Platform Engineer - Lakehouse & AI Pipelines (New York)

Goldman Sachs Group, Inc.

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

48th of 170 rated banks


Job description

Goldman Sachs Group, Inc. is seeking a Vice President Data Engineer in New York to join the Lakehouse and AI Data Platform team. The role involves designing, building, and supporting data pipelines on a modern data platform while ensuring data quality and efficiency. Candidates should have extensive experience in data engineering, with a strong programming background in Python or Java, and expertise in SQL and distributed frameworks like Apache Spark.

The position offers an opportunity to work with cutting-edge technologies while contributing to analytics and business outcomes.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869