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Manager Data Engineering Jobs in Colorado (NOW HIRING)

Trilyon, Inc.

Data Engineer - Snowflake Specialist

Denver, CO · On-site

$117K - $141K/yr

This role is a hybrid of platform operations and advanced data engineering, ensuring sensitive state and federal data is managed in a secure, high-availability, and cost-effective cloud environment.

eFulgent

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

... engineering solutions. - Implement monitoring, alerting, and continuous integration/delivery pipelines for reliable data operations. - Develop and manage data integration solutions to support ...

Pwc

Data Engineer - Senior Manager

Denver, CO · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Overwatch Agriculture

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

... data engineering, streaming technologies, and leadership to drive the team towards achieving business objectives. Key Responsibilities: * Team Leadership: Lead, mentor, and manage a team of data ...

Ibotta

Data Engineer

Denver, CO

$117K - $141K/yr

Bachelor's degree in Computer Science, Engineering, or a related field. Experience with the following a strong plus: * Experience with data catalog, metadata management, or data transformation ...

Ibotta, Inc

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Bachelor's degree in Computer Science, Engineering, or a related field. Experience with the following a strong plus: * Experience with data catalog, metadata management, or data transformation ...

Symhas

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

... Engineering POSITION OVERVIEW We are seeking an experienced GCP Data Engineer to join our team on a ... Bigtable to manage and persist data assets ▸ Participate in code reviews, technical design ...

Infosys

Snowflake Data Engineer

Broomfield, CO · On-site

$115K - $138K/yr

The role involves contributing to data engineering solutions, facilitating software design, and ... program management, and software services. Founded in 1981, the company is headquartered in ...

Hercules Industries, Inc.

Data Engineer

Denver, CO

$90K - $107K/yr

... CRM, and external systems · Build and manage data pipelines (ETL/ELT) to ensure timely and ... for data engineering within the organization Performance Expectations: · Drive measurable ...

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Showing results 1-20

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

Manager Data Engineering information

See Colorado salary details

$32.6K

$102.1K

$180.9K

How much do manager data engineering jobs pay per year?

As of Jul 19, 2026, the average yearly pay for manager data engineering in Colorado is $102,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $132,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
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 Manager Data Engineering jobs in Colorado? For Manager Data Engineering jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Colorado look for? The top searched job categories for Manager Data Engineering jobs in Colorado are:
What cities in Colorado are hiring for Manager Data Engineering jobs? Cities in Colorado with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $102,149 per year, or $49.1 per hour.
Software Engineer II, Data Engineer

Software Engineer II, Data Engineer

LG Ad Solutions

Denver, CO • On-site

$117K - $141K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. They are seeking a highly driven Software Engineer to join their Data & Platform Engineering team, focusing on designing and building robust data pipelines and ensuring data governance and compliance.
Responsibilities:
• System Ownership: Build and maintain a comprehensive understanding across multiple complex data pipelines and platform projects owned by the team.
• Core Data Engineering: Design, develop, test, and deploy robust backend services and data pipelines processing terabytes of advertising and ACR data.
• Platform & Governance: Build and maintain internal platform tooling to enforce strict Data Governance, Data Quality, and Data Compliance standards across all data assets.
• Task Definition & Scoping: Autonomously define the scope, technical enhancements, and deliverables for features of limited complexity, and provide accurate time estimates.
• Feature Set Contribution: Effectively contribute to the planning and development of features affecting multiple components across our data ecosystem with minimal guidance.
• Advanced Debugging: Independently troubleshoot, debug, and resolve somewhat complex bugs within distributed environments and massive-scale data processing workflows.
• Technical Communication: Comprehend and clearly communicate complex technical concepts—including technical designs, system architecture, and key engineering decisions—to both technical and non-technical stakeholders.
• Global Collaboration: Work closely with product managers, data scientists, and engineering counterparts in the US and India (requiring overlap with US time zones, typically aligning with core hours of 8 AM - 11 AM MST).
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Engineering, or a related technical field.
• 1 to 2 years of relevant professional software development experience, with a strong preference for Backend or Data Engineering roles.
• Strong proficiency in Data Structures and Algorithms.
• Solid understanding of core Computer Science concepts, specifically Operating Systems, Computer Networks, and DBMS.
• Exceptional problem-solving and analytical skills, with a proactive, self-starter attitude.
• Clear and effective communication of technical challenges, both verbally and in writing.
• Demonstrated ability to collaborate effectively across time zones.
Preferred:
• Experience with Big Data processing frameworks, specifically Apache Spark (PySpark or Scala-Spark).
• Hands-on experience with modern data platforms like Databricks and orchestration tools like Apache Airflow.
• Experience building, maintaining, and scaling complex ETL processes.
• Familiarity with cloud computing platforms (AWS, GCP, or Azure) and related infrastructure.
• Understanding of distributed systems concepts and proficiency in Low-Level Design (LLD).
Company:
We’re a leader in helping brands find unduplicated reach across a fragmented TV landscape, and maximize return on ad spend. Founded in 2013, the company is headquartered in Mountain View, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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