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Data Engineer Jobs in Colorado (NOW HIRING)

Polar IT Services

AWS Data Engineer

Greenwood Village, CO

$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 ...

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 ...

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 ...

Air Methods

Sr Data Engineer

Englewood, CO · On-site

$113K - $135K/yr

Overview Job Summary The Senior Data Engineer at Air Methods is responsible for leading and growing our data-driven decision culture by designing, developing, and delivering data engineering and ...

Polar IT Services

AWS Data Engineer

Greenwood Village, CO · On-site

$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 ...

Apex Systems

Integration/Data Engineer

Denver, CO · Hybrid

Job#: 3034728 Integration/Data Engineer (Databricks) Project Overview: The Veterans Experience Office (VEO) leads VA's strategy to create meaningful Customer Experience (CX) between Veterans and VA ...

Accenture

Data Engineer

Denver, CO · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

New

Octave

Sr. Data Engineer

Denver, CO · On-site

$117K - $141K/yr

This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will ...

Vantage Data Centers

Mid- Level Data Engineer

Denver, CO

$117K - $141K/yr

Vantage Data Centers is seeking a MidLevel Data Engineer to help build, operate, and scale our enterprise data platform. This role is designed for an engineer who can operate independently, execute ...

Vantage Data Centers

Mid- Level Data Engineer

Denver, CO · On-site

$117K - $141K/yr

As part of the Data Engineering & Business Intelligence team, you will be responsible for delivering production-ready data solutions that support analytics, reporting, and emerging AI-enabled use ...

Absolute Business Solutions Corp

Data Engineer

Aurora, CO · Hybrid

$120K - $150K/yr

We are actively hiring a TS/SCI-cleared Data Engineer to work closely with our sister company/software Syntasa to design scalable data pipelines, optimize Spark workloads, and deliver high ...

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 ...

CoorsTek, Inc.

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Job Title Forward Deployed Data Engineer Forward Deployed Data Engineer works to understand workflows, data sources, data meaning, and decision needs, then translate those needs into governed ...

Pwc

Data Engineer - Manager

Denver, CO · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

CoorsTek

Forward Deployed Data Engineer

Golden, CO

$118K - $142K/yr

Job Title Forward Deployed Data Engineer Forward Deployed Data Engineer works to understand workflows, data sources, data meaning, and decision needs, then translate those needs into governed ...

Terumo BCT, Inc.

AI Data Engineer

Lakewood, CO · On-site

$115K - $138K/yr

AI Data Engineer JOB SUMMARY Working under general direction, designs, builds, and owns the data that powers AIdriven agents and decision systems in production enterprise environments. This role is ...

Navtech, Inc.

GCP Data Engineer

Lone Tree, CO · On-site

$60/hr

I have an opportunity for "GCP Data Engineer" and looking for a candidate who can join Immediately if you are interested reply me with your updated resume or consultant's contact details and if you ...

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Showing results 1-20

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 Jun 12, 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 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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:
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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:
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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Colorado as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.
AWS Data Engineer

AWS Data Engineer

Polar IT Services

Greenwood Village, CO

$115K - $139K/yr

Other

Posted 25 days ago

Job description

Hello Folks,
Hope you are doing good!
Please find the below requirement and let me know your interest?
Job Title: AWS Data Engineer
Location: Greenwood Village, CO
Mode Of Work: 4 Days Onsite
W2 Role
Visa: GC, GC EAD, H4 EAD & USC only
Job Description
Overview: We are partnering with a leading enterprise client to hire a Senior Data Engineer for a contract opportunity supporting a large-scale mobile data platform. This role sits within a data architecture team responsible for designing and evolving high-volume data systems that power critical business insights. The team is currently supporting a high-priority strategic initiative, creating the need for an experienced engineer to own and stabilize core platform responsibilities. This is a hands-on opportunity with meaningful ownership and architectural exposure. You will take ownership of day-to-day data engineering responsibilities within a large-scale batch processing ecosystem.
Key Responsibilities Include:
  • Monitor and ensure reliability and accuracy of ETL processes
  • Improve and automate data pipeline monitoring
  • Maintain and enhance Spark and SQL-based transformations
  • Design and implement new data integrations
  • Optimize AWS jobs and storage for performance and cost efficiency
  • Contribute to data architecture standards and engineering best practices
  • This role plays a critical part in maintaining the stability and scalability of the platform
  • Technical Environment: ~300 Spark-based batch jobs
  • Heavy SQL-based transformations
  • AWS ecosystem (S3, Athena, Spark)
  • Large-scale batch processing (non-real time)
  • 150 critical daily data transformations feeding downstream systems
  • Daily reliability is essential, as downstream tools and stakeholders depend on consistent data delivery

Please share with me his visa copy, DL copy and below mentioned details.
Name:
EmailID:
Phone:
Current location:
Visa:
Last 4 Digits of SSN:
LinkedIn ID:
Thanks
Jagdish | Manager - IT Staffing
T (443)-489-4433 | Jagdish@polarits.com
6095 Marshalee Dr, Suite 250, Elkridge, MD 21075
Note: If you have received this message in error, please notify us immediately by reply e-mail so that we may correct our internal records. Please then delete the original message (including any attachments) in its entirety. Thank you

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