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Data Engineer Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO ยท On-site

$117K - $141K/yr

Data Engineer Duration : 8+ Months Location : Onsite Denver CO (Only local Profiles) Required Skills - SQL Developer, Snowflake Nice to have skills - Python, DB scripting Job Summary โ€ข Data ...

Data Engineer

Denver, CO ยท On-site

$117K - $141K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Denver, CO

$117K - $141K/yr

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. As a key contributor within the Data Platform Organization, you ...

Data Engineer

Denver, CO ยท On-site

$117K - $141K/yr

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. As a key contributor within the Data Platform Organization, you ...

DATA ENGINEER

Boulder, CO ยท Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability ...

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

DATA ENGINEER

Boulder, CO ยท Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability ...

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Denver, CO

$120K - $160K/yr

DR Kharon is seeking a full-time Data Engineer based in Denver, Colorado. This role requires in-office attendance 3 days a week. RESPONSIBILITIES: * Help build large-scale distributed automated data ...

The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, operations, and ...

Data Engineer

Denver, CO ยท On-site

$90K - $107K/yr

The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, operations, and ...

Data Engineer

Denver, CO ยท On-site

$120K/yr

The Data Engineer supports the digital transformation of our manufacturing operations, translating technical requirements from our factories into targeted solutions that fit into Ready Foods' broader ...

The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, operations, and ...

Mid- Level Data Engineer

Denver, CO ยท 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 ...

Principal Data Engineer

Boulder, CO ยท On-site

$120K - $165K/yr

As a Principal Data Engineer, you will lead a team in building and maintaining scalable, reliable data pipelines that bridge on-premises and cloud environments. You'll leverage your expertise in data ...

Data Engineer

Denver, CO ยท Hybrid

$90K - $115K/yr

Your opportunity As a Data Engineer, you will design and deliver robust data pipelines and solutions on the Janus Henderson Data Platform. You will mentor junior engineers, contribute to technical ...

Mid- Level Data Engineer

Denver, CO ยท On-site

$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 ...

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Showing results 1-20

Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data engineer jobs pay per year?

As of Jul 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 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:
Infographic showing various Data Engineer job openings in Colorado as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $136,399 per year, or $65.6 per hour.
Data Engineer

$117K - $141K/yr

Full-time

Posted 15 days ago


Job description

Job Title: Data Engineer
Duration: 8+ Months
Location: Onsite Denver CO (Only local Profiles)
Required Skills - SQL Developer, Snowflake
Nice to have skills - Python, DB scripting
Job Summary
โ€ข Data Engineer with 8 years of experience and good exposure in Python scripting & SQL
โ€ข The data engineer will be responsible for architecting and implementing very large-scale data intelligence solutions around Snowflake.
โ€ข The data engineer will analyze the raw data and develop and maintain datasets on Snowflake based on business needs and objectives.
โ€ข They would explore ways to enhance data quality and reliability and identify opportunities for data acquisition.
โ€ข They would also collaborate with data scientists and architects on several projects.
โ€ข They must have previous experience as a data engineer and should be an expert in both Python and SQL. Snowflake, Jenkins & Airflow experience is nice to have.
โ€ข The analyst will be working on the below ADS for products.
1. Modem Connectivity ADS a. Incorporate logic for Seasonal customers b. Incorporate logic for customer migration c. Incorporate logic for new customers d. Incorporate Remedy data into ADS
2. SamKnows ADS a. Build 12 ADS for SamKnows
3. SamKnows Latency ADS a. Make changes to Add Service Group
4. Wireline composite score ADS
5. Support for below ADSes a. Speed Reliability b. OOKLA Version 2 c. IPDR d. Deepfield e. SCOPE f. ESI