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Manager Data Science Civil Engineering Jobs in Colorado

Judge Group, Inc.

Data Science Engineer

Westminster, CO · On-site

$100K - $140K/yr

... managing false-positive behavior under degraded observations, calibrating confidence metrics ... Contribute machine-learning expertise to CONOPS and systems-engineering activities, including data ...

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All JobsData Science Civil Engineering JobsManager Data Science Civil Engineering JobsManager Data Science Civil Engineering Jobs in Colorado

Manager Data Science Civil Engineering information

What is the difference between Manager Data Science Civil Engineering vs Civil Engineering Project Manager?

AspectManager Data Science Civil EngineeringCivil Engineering Project Manager
Required CredentialsMaster's in Data Science, Civil Engineering, or related field; certifications in project management or data analyticsBachelor's or Master's in Civil Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentData analysis teams, engineering firms, research institutionsConstruction sites, engineering firms, project offices
Employer & Industry UsageTech-driven civil engineering projects, infrastructure analyticsConstruction projects, infrastructure development, urban planning

The Manager Data Science Civil Engineering focuses on analyzing data to optimize civil engineering projects, while the Civil Engineering Project Manager oversees the planning, execution, and completion of civil construction projects. Both roles require engineering knowledge but differ in their core responsibilities and work environments.

What are the most commonly searched types of Data Science Civil Engineering jobs in Colorado? The most popular types of Data Science Civil Engineering jobs in Colorado are:
What are popular job titles related to Manager Data Science Civil Engineering jobs in Colorado? For Manager Data Science Civil Engineering jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Manager Data Science Civil Engineering jobs in Colorado look for? The top searched job categories for Manager Data Science Civil Engineering jobs in Colorado are:
Manager Data Science Civil Engineering jobs near you
Infographic showing various Manager Data Science Civil Engineering job openings in Colorado as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

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

Oak View Group

Denver, CO

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Oak View Group rating

6.2

Company rating: 6.2 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

22nd 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 3 days 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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