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Manager Data Engineering Jobs in Colorado (NOW HIRING)

True Anomaly

Senior Manager, Data Engineering

Denver, CO · On-site

$165K - $230K/yr

As Senior Manager of Data Engineering, you will build this capability from scratch: the platform, the pipelines, the team, and the operating model. Your first priority is enabling the AI Platform ...

Owens & Minor

Senior Manager, Data Engineering

Denver, CO · On-site +1

$140K - $155K/yr

Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI developers -Establishdelivery standards, performance expectations, and career development ...

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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.

Senior Manager, Data Engineering

True Anomaly

Denver, CO • On-site

$165K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It's the people. Our team is our competitive advantage and we are better together.

YOUR MISSION
True Anomaly does not have a central data platform today. Data lives in disconnected systems: PLM, ERP, project management, source control, and documentation tools, with no warehouse, no unified data model, and no programmatic access layer. As Senior Manager of Data Engineering, you will build this capability from scratch: the platform, the pipelines, the team, and the operating model. Your first priority is enabling the AI Platform Engineering team, which depends on a reliable data foundation to deliver on the company's top strategic priority. Beyond AI, the data platform will serve engineering, programs, manufacturing, and business operations across the company. This is a player-coach role. You will be writing code and making architecture decisions on day one while simultaneously hiring and developing a high-performing team.
RESPONSIBILITIES
  • Build the data engineering function from zero: design the data platform architecture, stand up the initial infrastructure, and start delivering value before the team is fully hired
  • Hire and lead a team of 5 data engineers, recruiting top-tier technical talent who thrive in ambiguous, fast-moving environments
  • Design and build the company's data warehouse, unified data model, and pipeline infrastructure, connecting systems like PLM (Teamcenter), ERP (NetSuite), Jira, Git, and Confluence into a single reliable data layer
  • Partner closely with the AI Platform Engineering team to provide the data infrastructure they need as a critical-path dependency for the company's AI strategy
  • Serve as the technical authority for data architecture decisions during the team's formative period: technology selection, data modeling patterns, pipeline design, and the foundational choices the rest of the team will build on
  • Work across the company to understand data needs from engineering, programs, manufacturing, and business operations, and translate those into a platform that serves all of them

QUALIFICATIONS
  • 8+ years of experience in data engineering, data infrastructure, or related fields, with 3+ years building and leading data engineering teams
  • Strong hands-on skills in modern data stack technologies: data warehousing (Snowflake, BigQuery, Redshift, or similar), ETL/ELT pipelines, data modeling, and orchestration tools (Airflow, Dagster, or similar)
  • Experience building data platforms from scratch, not just maintaining or extending existing ones
  • Track record of hiring and developing high-performing engineering teams in fast-paced environments
  • Ability to work across the full stack of data engineering: from source system connectivity and pipeline reliability to data modeling and serving layer design
  • Strong communication skills and comfort working with stakeholders across technical and non-technical functions to understand requirements and set priorities

PREFERRED SKILLS AND EXPERIENCE
  • Experience in aerospace, defense, or manufacturing environments where data spans engineering tools (PLM, MBSE, CAD/CAM) and enterprise systems (ERP, project management)
  • Background working with AI/ML teams as a data platform provider, with an understanding of what those teams need from the data layer
  • Experience connecting complex, heterogeneous source systems with different schemas, update cadences, and access patterns
  • Familiarity with data governance and data quality practices, and experience building organizational trust in data products
  • Prior experience at a company poised for aggressive growth where the data platform had to scale ahead of demand
  • Active U.S. security clearance at any level

COMPENSATION
  • Base Salary: Long Beach - $165,000 to $230,000, Denver - $160,000 to $220,000, SF Bay Area - $185,000 to $250,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience.
ADDITIONAL REQUIREMENTS
  • U.S. citizenship required; clearance eligibility required; active clearance at any level preferred
  • Work Location: this role will be fully onsite at our facilities in Centennial, CO, Long Beach, CA, or SF Bay Area, CA
  • Work environment is in a standard office, working at a desk or in a production factory.
  • Physical demands may include frequent standing, sitting, walking, bending, and lifting or carrying items up to 20lbs.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (IT
  1. AR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

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