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Vice President Data Engineer Jobs in Texas (NOW HIRING)

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 ...

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 ...

What you'll do day-to-day The Vice President, Data Science will lead Invitation Homes' data science ... You will lead a small, high-performing team of data scientists and machine learning engineers ...

New

Reporting to the VP-Data Engineering, AI & ML, you will lead a team of Data Engineers - setting the technical execution direction while staying close enough to the architecture and code to guide hard ...

At the center of this mandate is a deliberate philosophy: value engineering . Every product ... a VP or executive role leading a data product organization * Demonstrated track record of ...

At the center of this mandate is a deliberate philosophy: value engineering . Every product ... a VP or executive role leading a data product organization * Demonstrated track record of ...

VP, Construction

Lockhart, TX · On-site

$150 - $200/hr

... data centers from conception through commissioning, working with Sales, Operations, Acquisitions ... As Prime expands, you will partner with Development/Engineering and Finance teams focused on cost ...

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Showing results 1-20

Vice President Data Engineer information

See Texas salary details

$104.8K

$200.9K

$371.3K

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

As of Sep 4, 2026, the average yearly pay for vice president data engineer in Texas is $200,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,700.00 and $216,100.00 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 are the most commonly searched types of Data Engineer jobs in Texas?

The most popular types of Data Engineer jobs in Texas are:

What cities in Texas are hiring for Vice President Data Engineer jobs?

Cities in Texas with the most Vice President Data Engineer job openings:

Infographic showing various Vice President Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $200,860 per year, or $96.6 per hour.

VP, Lakehouse & AI Data Platform Engineering (Dallas)

Goldman Sachs Group, Inc.

Dallas, TX • On-site

$163K - $211K/yr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

88th of 174 rated banks


Job description

Goldman Sachs Group, Inc. in Dallas seeks a Vice President Data Engineer to help build a Lakehouse and AI data platform, delivering reliable data pipelines and scalable data products.

You will design, implement and operate batch and streaming pipelines, collaborate with data producers and consumers, and contribute to platform tooling, standards and governance. The role emphasizes production delivery and mentoring of engineers in a modern data stack.

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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