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Data Engineer Jobs in Colorado (NOW HIRING)

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

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 EAD, H4 EAD & USC only Overview: We are partnering with a leading enterprise client to hire a Senior ...

Eliassen Group

Data Engineer IV

Greenwood Village, CO · On-site

$65 - $75/hr

Hybrid 3 days onsite / 2 remote in Greenwood Village, CO Our client is seeking a Data Engineer IV for the Infrastructure Intelligence and Analytics team to design, build, and maintain scalable ETL ...

Apex Systems

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Job#: 3045667 Data Engineer Location: Denver, Colorado (Onsite) Role Overview Our engineering teams are adept at solving complex problems with leading-edge technology. This role involves working in a ...

Booz Allen Hamilton

Data Engineer, Senior

Aurora, CO

$99K - $225K/yr

As a data engineer, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

As a data engineer, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Mid Data Engineer

Aurora, CO · On-site

$77K - $176K/yr

As a data engineer, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Data Engineer, Senior

Aurora, CO · On-site

$99K - $225K/yr

As a data engineer, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Cymertek

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Big Data Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Aurora, CO · On-site

$77K - $176K/yr

Data Engineer, Mid The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT ...

Booz Allen Hamilton

Data Engineer, Mid

Aurora, CO · On-site

$77K - $176K/yr

Data Engineer, Mid The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT ...

Trilyon, Inc.

Data Engineer - Snowflake Specialist

Denver, CO · On-site

$117K - $141K/yr

Senior Operations & Data Engineer (Snowflake Specialist) / Cloud Engineer Location: Colorado (Remote with Occasional Onsite - Preferably Denver Metropolitan Area) Duration: 1 Year Contract We are ...

Agile Defense

Data Engineer - NORTHCOM

Colorado Springs, CO · On-site

$150K - $170K/yr

Data Engineer - NORTHCOM Location: On-Site, Colorado Springs, CO Clearance Level: Top Secret, Must Have Clearance to Start Agile Defense is seeking a Data Scientist / Engineer to support the design ...

Agile Defense

Data Engineer - SPACECOM

Colorado Springs, CO · On-site

$145K - $165K/yr

Data Engineer - SPACECOM Location: On-Site, Colorado Springs, CO Clearance Level: Top Secret, Must Have Clearance to Start Agile Defense is seeking a Data Scientist / Engineer to support the design ...

Agile Defense

Data Engineer - SPACECOM

Colorado Springs, CO · On-site

$145K - $165K/yr

Data Engineer - SPACECOM Location: On-Site, Colorado Springs, CO Clearance Level: Top Secret, Must Have Clearance to Start Agile Defense is seeking a Data Scientist / Engineer to support the design ...

Agile Defense

Data Engineer - SPACECOM

Colorado Springs, CO · On-site

$145K - $165K/yr

Data Engineer - SPACECOM Location: On-Site, Colorado Springs, CO Clearance Level: Top Secret, Must Have Clearance to Start Agile Defense is seeking a Data Scientist / Engineer to support the design ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Colorado

Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer 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 is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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 jobs in Colorado?

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

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

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

What cities in Colorado are hiring for Data Engineer jobs?

Cities in Colorado with the most Data Engineer job openings:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 7 days ago

Job description

Job Brief
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.
- Responsibilities
• Lead and support the delivery of data platform modernization projects.
• Design and develop robust and scalable data pipelines leveraging AWS native services.
• Optimize ETL processes, ensuring efficient data transformation.
• Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
• Design automations and integrations to resolve data inconsistencies and quality issues
• Perform system testing and validation to ensure successful integration and functionality.
• Implement security and compliance controls in the cloud environment.
• Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
• Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
- Skills and Requirements
• 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
• Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
• Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
• Experience with streaming and batch data pipeline/engineering architectures.
• Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
• Hands-on experience with Databricks and a willingness to grow capabilities.
• Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
• Strong problem-solving and analytical skills.
• Knowledge of Dataiku is needed
• Graduate/Post-Graduate degree in Computer Science or a related field.
• AWS S3 (data storage, export, recall)
• Athena (querying data lakes)
• Data pipelines (batch & near-real-time)
• Integration with external systems (FHIR)
• Secure data handling (KMS, Macie)
• Cloud-native analytics
• Multi-account, multi-region data architecture
• BI integrations: Power BI, Tableau, QuickSight

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