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Data Engineer Manager Jobs in Colorado (NOW HIRING)

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 ...

Long Finch Technologies

$107K - $129K/yr

Build and manage cloud-based data lakes and data warehouse solutions using: Amazon S3, Amazon ... Work with DevOps tools and practices including Jenkins and Maven for deployment automation.

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 ...

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 41-60

All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Colorado

Data Engineer Manager information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data engineer manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer manager in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

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.

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 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 most commonly searched types of Data Engineer jobs in Colorado?

The most popular types of Data Engineer jobs in Colorado are:

What are popular job titles related to Data Engineer Manager jobs in Colorado?

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

What job categories do people searching Data Engineer Manager jobs in Colorado look for?

The top searched job categories for Data Engineer Manager jobs in Colorado are:

What cities in Colorado are hiring for Data Engineer Manager jobs?

Cities in Colorado with the most Data Engineer Manager job openings:

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Colorado as of August 2026, with employment types broken down into 59% Full Time, and 41% Temporary. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.

AWS Data Engineer | Big Data & Cloud Data Engineer

Long Finch Technologies

Golden, CO • On-site

$118K - $142K/yr

Full-time

Posted 15 days ago

Job description

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal candidate will have strong experience building data pipelines, managing data platforms, and delivering enterprise-level analytics solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and architectures on AWS to support analytics, reporting, and operational workflows.
  • Develop ETL/ELT solutions using AWS services.
  • Build and manage cloud-based data lakes and data warehouse solutions using: Amazon S3, Amazon Athena, Amazon Redshift and Amazon RDS.
  • Design and implement scalable data architectures while ensuring data quality, security, and integrity.
  • Develop data processing workflows to support large-scale data ingestion and transformation.
  • Collaborate with data scientists, analysts, and business teams to curate and optimize production-ready datasets.
  • Monitor, troubleshoot, and improve data pipeline performance and reliability.
  • Work with DevOps tools and practices including Jenkins and Maven for deployment automation.
Required Experience & Skills
  • 7+ years of experience in Big Data Engineering, Data Engineering, or related roles.
  • Strong hands-on experience with AWS cloud services and Big Data technologies.
  • Experience designing, developing, and maintaining scalable data pipelines and cloud-based data architectures.
  • Proficiency in developing ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Kinesis, and Step Functions.
  • Experience building and managing data lakes and data warehouses using AWS services including S3, Athena, Redshift, and RDS.
  • Strong knowledge of data modeling, data integration, and ensuring data quality and integrity.
  • Experience working with Hadoop and other Big Data technologies.
  • Strong SQL skills with experience in databases such as Oracle 10g/11g/12c and SQL Server.
  • Experience with Unix/Linux environments and scripting.
  • Familiarity with DevOps tools such as Jenkins and Maven.
  • Experience with monitoring and logging tools such as Splunk is preferred.
  • Ability to collaborate with data scientists, analysts, and cross-functional teams to deliver production-ready data solutions.

Apply