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Data Engineer Manager Jobs in Denver, CO (NOW HIRING)

Sierra Nevada Corporation

MLOps & Data Engineer

Lone Tree, CO · On-site

$117K - $140K/yr

As a Data Engineer II, you will oversee the development and optimization of complex data pipelines ... Manage graph and relational data stores supporting AI applications such as knowledge graphs and ...

Continuum Media Network Inc

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Description Full-Time $110K - $120K Continuum is a Managed Service TV advertising platform - making ... We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design ...

Pwc

Data Engineer - Senior Manager

Denver, CO · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Continuum Media Network Inc

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Description: Full-Time $110K - $120K Continuum is a Managed Service TV advertising platform ... We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design ...

Beacon Hill

Sr. Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

Develop and manage deployment pipelines to facilitate continuous integration and delivery of data engineering solutions * Manage and optimize data storage solutions, including: * Distributed file ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning ... You'll use your experience in analytical exploration and data examination while you manage the ...

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 ...

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 ... for data engineering within the organization Performance Expectations: · Drive measurable ...

Overwatch Agriculture

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

Lead, mentor, and manage a team of data engineers specializing in streaming technologies. * Data Pipeline Development: Design and implement high-throughput, low-latency streaming data pipelines using ...

Redwood Logistics, LLC

Lead Data Engineer

Aurora, CO · On-site

$125 - $150/hr

Manage backlog grooming, sprint planning, and prioritization activities for data engineering projects * Collaborate with business and technical leaders to set and execute both strategic and tactical ...

Symhas

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

... Bigtable to manage and persist data assets ▸ Participate in code reviews, technical design ... data engineering with at least 3 years on Google Cloud Platform ▸ Hands-on expertise with ...

Viasat

Data Engineer

Englewood, CO · On-site

$113K - $135K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and ... management objectives. • Provide ongoing support, monitoring, and maintenance of deployed ...

Eliassen Group

Data Engineer IV

Greenwood Village, CO · Remote

$65 - $75/hr

Develop and manage CI/CD deployment pipelines for data engineering solutions. * Manage and optimize data storage across distributed file systems, relational databases, flat files, and API-based ...

Eliassen Group

Data Engineer IV

Greenwood Village, CO · On-site

$65 - $75/hr

Develop and manage CI/CD deployment pipelines for data engineering solutions. * Manage and optimize data storage across distributed file systems, relational databases, flat files, and API-based ...

Polar IT Services

AWS Data Engineer

Greenwood Village, CO · On-site +1

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC ... Thanks Jagdish |Manager - IT Staffing T (443)-489-4433 | Jagdish@polarits.com 6095 Marshalee Dr ...

Viasat, Inc.

Data Engineer

Englewood, CO

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... management objectives while providing ongoing support, monitoring, and maintenance of deployed ...

Octave

Sr. Data Engineer

Denver, CO

$117K - $141K/yr

You will partner closely with data scientists, analysts, and product managers to ensure our ... Experience with GCP or AWS data engineering tools, big data frameworks * Experience with data ...

Trilyon, Inc.

Data Engineer - Snowflake Specialist

Denver, CO · On-site

$117K - $141K/yr

Senior Operations & Data Engineer (Snowflake Specialist) / Cloud Engineer Location: Colorado ... Manage platform upgrades, security configurations, and vendor escalations * Configure Snowflake ...

Yes Energy

Data Engineer II

Boulder, CO · On-site

$100K - $125K/yr

As a Data Engineer on the Bid-to-Bill Operations Engineers team, you will sit at the intersection ... Operations Engineer Manager * Travel requirements: Up to 5% Why This Role Matters: Our team sits at ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Denver, CO

Data Engineer Manager information

See Denver, CO salary details

$45.8K

$133.5K

$182.7K

How much do data engineer manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer manager in Denver, CO is $133,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $141,500.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Denver, CO?

The most popular types of Data Engineer jobs in Denver, CO are:

What are popular job titles related to Data Engineer Manager jobs in Denver, CO?

For Data Engineer Manager jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Data Engineer Manager jobs in Denver, CO look for?

The top searched job categories for Data Engineer Manager jobs in Denver, CO are:

What cities near Denver, CO are hiring for Data Engineer Manager jobs?

Cities near Denver, CO with the most Data Engineer Manager job openings:

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Denver, CO as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $133,514 per year, or $64.2 per hour.

MLOps & Data Engineer

Sierra Nevada Corporation

Lone Tree, CO • On-site

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

18th of 72 rated aerospace companies

Job description

Are you looking to leverage your technical creativity? Dream, Innovate, Inspire and Empower the next generation to transform humanity through technology and imagination! As a Data Engineer II, you will oversee the development and optimization of complex data pipelines and transformations. You will collaborate with cross-functional teams to ensure the efficient and secure integration, management, and utilization of data within the Enterprise Data Warehouse (EDW). Your role will also involve mentoring junior data engineers and implementing best practices.
As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.
Responsibilities:
  • Oversee the design and development of data pipelines and transformations that feed AI and ML systems across the platform
  • Collaborate with the AI/LLM Platform team and other engineering teams to understand data and model requirements and ensure effective solutions.
  • Mentor and guide junior data engineers.
  • Develop and enforce best practices for data engineering processes.
  • Implement advanced data integration, data management, and data quality solutions, including experiment tracking and model registry systems
  • Perform testing, debugging, and optimization of data pipelines and model serving infrastructure.
  • Ensure data security and compliance with CMMC and SNC data governance standards.
  • Develop and maintain comprehensive documentation for data processes.
  • Design and operate feature stores and model serving infrastructure supporting real-time and batch inference
  • Manage graph and relational data stores supporting AI applications such as knowledge graphs and entity resolution
  • Monitor data pipeline and model serving health, participating in on-call rotation for data infrastructure.

Qualifications You Must Have:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field.
  • 2+ years of experience in data engineering or a related role.
  • Higher level relevant degree may substitute for experience.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 6 years of related experience is required.
  • Proficiency in SQL and experience with ETL/orchestration tools such as Airflow, dbt, or Prefect.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong problem-solving and analytical skills.
  • Working SQL knowledge and experience working with relational databases.
  • Experience with AWS cloud services: S3, Redshift, Glue.
  • Experience building data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on data to answer specific business questions or issues.
  • Strong Python skills, with experience in data engineering frameworks such as Spark, dbt, Airflow, or Prefect.
  • Operational responsibilities (schedules, monitoring, logging, alerting, error handling, etc.)
  • Exposure to ML lifecycle tools such as MLflow, Weights & Biases, or Kubeflow.

Qualifications We Prefer:
  • Experience building data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on data to answer specific business questions or issues.
  • Experience with AWS cloud services (e.g., S3, EC2, RDS, Redshift, Glue, Lambda, Step Functions, Athena, CloudWatch, ECS, IAM).
  • Experience with object-oriented scripting languages and frameworks (e.g., Python, Java).
  • Familiarity with source system integration patterns (e.g., SQL, APIs).
  • Exposure to operational responsibilities (schedules, monitoring, logging, alerting, error handling, etc.).
  • Basic understanding of Master Data Management (MDM) concepts and exposure to MDM solutions.
  • Familiarity with DevOps practices and tools, with some hands-on experience in a CI/CD environment.
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Certifications in data engineering or related fields.

Essential Functions:
  • Ability to work on a computer for extended periods.
  • Frequent communication with team members and stakeholders.
  • Ability to work in an office or hybrid environment.
  • Occasional travel may be required.
  • Must be able to lift up to 10 lbs occasionally.
  • Ability to ensure data engineering practices adhere to industry-specific regulations and security standards (e.g., ITAR, DFARS, NIST), safeguarding sensitive data throughout the data lifecycle.
  • Experience with ML lifecycle tools such as MLflow, Weights & Biases, or Kubeflow
  • Familiarity with feature store platforms (Feast, Tecton, Hopsworks)
  • Experience with graph databases (Neo4j, Amazon Neptune) supporting knowledge graphs or entity resolution
  • Familiarity with vector databases or retrieval-augmented generation (RAG) pipelines (Pinecone, Weaviate, pgvector)
  • Experience with Kubernetes for deploying data or ML workloads
  • Familiarity with data observability tools (Monte Carlo, Great Expectations)

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
Estimated Starting Salary Range: $108,496.89 - $149,183.22. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.
SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
IMPORTANT NOTICE:
To conform to U.S. Government international trade regulations, applicant 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 or U.S. Department of Commerce.
Learn more about the background check process for Security Clearances.
SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.

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