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Manager Data Engineering Jobs in Colorado (NOW HIRING)

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 ...

eTeam

Azure Databricks Data Engineer

Denver, CO · On-site

$117K - $141K/yr

... engineering teams. • Strong experience performing code reviews and solution design validations. • knowledge of data security, and access management (RBAC). • Preferred / Nice to Have Skills:

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 ...

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 ...

Deloitte

Databricks Data Engineer

Denver, CO

$117K - $141K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

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 ...

Hercules Industries, Inc.

Data Engineer

Denver, CO · On-site

$90K - $107K/yr

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

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Tune BigQuery performance and manage access/security controls * Maintain documentation, data flow diagrams, and catalogs Required Experience * 3+ years in data engineering * Strong SQL skills with ...

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Showing results 1-20

All 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 Jun 28, 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 June 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% 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.

Lead Data Engineer

eFulgent

Englewood, CO • On-site

$101K - $133K/yr

Contractor

Posted just now

Job description

Job Summary (Lead Data Engineer - Englewood, CO)
- Lead the design, development, and maintenance of scalable ETL pipelines using Spark to ensure data quality and availability.
- Execute advanced analytics, machine learning, and generative AI techniques to enhance network security and operational efficiency.
- Leverage AWS for building and deploying scalable data engineering solutions.
- Implement monitoring, alerting, and continuous integration/delivery pipelines for reliable data operations.
- Develop and manage data integration solutions to support analytics/reporting needs.
- Conduct complete analytics lifecycle: data exploration, grooming, modeling, validation, and prototyping.
- Analyze diverse data sources (APIs, flat files, databases, distributed file systems) for analytic relevance.
- Interpret and communicate analytic results to drive organizational action and improvements.
- Collaborate with cross-functional teams to integrate analytic solutions into production and educate stakeholders.
- Mentor peers and share expertise in analytic techniques, tools, and best practices.
- Required skills: ETL, ML Ops, AI/ML, Data Warehousing, Spark, Python, Scala/Java, SQL, Big Data tools, statistical analysis.
- Good to have: AWS, Linux, text analysis/mining, NoSQL databases.
- Education/Experience: Bachelor’s (8+ years) or Master’s (6+ years) in computer science or related quantitative field.
- Work location: Onsite in Englewood, CO; 12-month contract; visa-independent candidates only.