Vp Data Engineering information
See salary details
$112.5K - $138.5K
1% of jobs
$138.5K - $164.5K
7% of jobs
$177.7K is the 25th percentile. Wages below this are outliers.
$164.5K - $190.5K
33% of jobs
The median wage is $198.4K / yr.
$190.5K - $216.5K
29% of jobs
$224.4K is the 75th percentile. Wages above this are outliers.
$216.5K - $242.5K
15% of jobs
$242.5K - $268.5K
5% of jobs
$268.5K - $294.5K
5% of jobs
$294.5K - $320.5K
3% of jobs
$320.5K - $346.5K
1% of jobs
$346.5K - $372.5K
0% of jobs
$372.5K - $398.5K
0% of jobs
How much do vp data engineering jobs pay per year?
As of Sep 9, 2026, the average yearly pay for vp 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.
A VP of Data Engineering leads and oversees the data engineering team and strategy within an organization. Their responsibilities typically include designing and implementing data architectures, managing data pipelines, ensuring data quality, and collaborating with other leaders to support business goals with data-driven solutions. They also play a key role in hiring and mentoring data engineers, setting technical standards, and aligning data initiatives with overall company objectives. The VP of Data Engineering ensures the organization's data infrastructure is scalable, secure, and efficient to meet current and future needs.
As a VP of Data Engineering, one of the most common challenges is ensuring that the data infrastructure can scale efficiently to meet growing business demands without compromising on performance or data quality. This often involves making critical decisions about adopting new technologies, optimizing data pipelines, and balancing short-term project needs with long-term architectural investments. Additionally, you'll need to foster strong collaboration between data engineering, data science, and business teams to align technical solutions with strategic goals. Leading and mentoring a diverse team while driving organizational change is also a key part of the role.
To thrive as a VP of Data Engineering, you need deep expertise in data architecture, data management, and large-scale distributed systems, typically supported by a degree in computer science or a related field. Experience with big data platforms (e.g., Hadoop, Spark), cloud services (e.g., AWS, GCP, Azure), and data governance tools, as well as relevant certifications, is often required. Strategic leadership, strong communication, and the ability to mentor and motivate technical teams are crucial soft skills. These capabilities enable effective data-driven decision-making, ensure scalable and secure infrastructure, and foster high-performing engineering teams.
What cities are hiring for Vp Data Engineering jobs?
Cities with the most Vp 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 are popular job titles related to Vp Data Engineering jobs?
For Vp Data Engineering jobs, the most frequently searched job titles are:
