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Director Data Engineering Jobs in Colorado (NOW HIRING)

Symhas

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

... engineering team. You will have direct impact on mission-critical data pipelines that serve business intelligence, analytics, and operational systems. The team follows agile practices with two-week ...

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Director Data Engineering information

See Colorado salary details

$76.8K

$204.7K

$267.1K

How much do director data engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for director data engineering in Colorado is $204,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,800.00 and $266,000.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What are the most commonly searched types of Data Engineering jobs in Colorado?

The most popular types of Data Engineering jobs in Colorado are:

What are popular job titles related to Director Data Engineering jobs in Colorado?

For Director Data Engineering jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Director Data Engineering jobs in Colorado look for?

The top searched job categories for Director Data Engineering jobs in Colorado are:

What cities in Colorado are hiring for Director Data Engineering jobs?

Cities in Colorado with the most Director Data Engineering job openings:

Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $204,740 per year, or $98.4 per hour.

Title Sr. Manager, Data Engineering | Full-Time | Denver Tech Center

Oak View Group

Denver, CO • On-site

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Oak View Group rating

6.2

Company rating: 6.2 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

23rd of 36 rated event venues

Job description

Sr. Manager, Data Engineering | Full-Time | Denver Tech Center
Location US-CO-Denver
Job Post Information* : Posted Date 2 weeks ago(8/4/2026 4:17 PM)
Job ID 2026-33537
Category Marketing
Type Regular Full-Time
Location : Location US-CO-Denver
Job Post Information* : External Company Name Oak View Group
Job Post Information* : External Company URL https://www.oakviewgroup.com/
Location : Postal Code 80237
Location : Address 5050 S. Syracuse St, 8th Floor
Job Post Information* : Post End Date 11/6/2026
Overview

Oak View Group is hiring a Sr. Manager, Data Engineering based in Denver, CO, reporting to the Sr. Director, Data & Analytics. As we continue to grow and redefine the landscape of sports, live entertainment, and hospitality, Oak View Group is evolving the pivotal role of Sr. Manager, Data Engineering to lead both the development of our data platform and a growing team of data engineers. This individual will be instrumental in architecting and executing data strategies that empower our business with actionable insights, fostering a culture of data-driven decision-making across our global operations. The Sr. Manager, Data Engineering will bring deep technical expertise and strong people leadership to drive the development and optimization of our data infrastructure, systems, and analytics capabilities. They will employ agile methodologies to adapt to and anticipate the needs of our rapidly evolving business landscape, while ensuring team alignment, delivery excellence, and scalable growth of our data platform.

This role pays an annual salary of $150,000 and is bonus eligible.

Benefits for Full-Time roles: Health, Dental and Vision Insurance, 401(k) Savings Plan, 401(k) matching, and Paid Time Off (vacation days, sick days, and 11 holidays)

This position will remain open until November 6, 2026.

Responsibilities
  • Architect, develop, and optimize data pipelines, databases, and analytics platforms within Azure to support business intelligence, data science, and operational applications.
  • Lead and manage a team of 1-3 data engineers, providing mentorship, technical guidance, and performance management to drive high-quality execution and career development.
  • Own the data engineering roadmap, prioritizing integrations, platform enhancements, and scalability initiatives aligned with business goals.
  • Collaborate with stakeholders across the organization to understand data needs, deliver solutions that drive business value, and align efforts with the company's strategic objectives.
  • Implement and scale agile data engineering practices, adapting to business shifts and technological advancements with flexibility and foresight.
  • Champion a culture of data-driven decision-making, ensuring data quality, governance, and security standards are upheld.
  • Establish best practices for code quality, data modeling, testing, and deployment, improving the reliability and maintainability of the data platform.
  • Foster and manage relationships with external partners and vendors, ensuring seamless integration of their services and technologies into our data infrastructure to enhance our capabilities and drive innovation.
Qualifications
  • Bachelor's degree in computer science, engineering, or a related field.
  • 4-6+ years of data engineering experience.
  • Ability to manage a small team while remaining hands-on.
  • Proficient in data engineering tools, ETL processes, APIs, and data warehousing, with a proven ability to develop and manage efficient data pipelines.
  • Familiarity with Azure cloud services, showcasing the ability to utilize Azure's data services to create scalable and secure data solutions.
  • Effective collaboration with analytics, business intelligence, and IT teams to align data solutions with organizational objectives.
  • Experience with data governance, security practices, and compliance regulations.
  • Demonstrated experience in balancing multiple projects simultaneously, with a track record of meeting deadlines and business goals.
  • Strong communication skills, with the ability to translate technical concepts into business impact.
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