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Data Engineer Jobs in Denver, CO (NOW HIRING)

Data Engineer

Denver, CO

$110K - $120K/yr

We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design through deployment to validation, eliminating single points of failure and ensuring seamlessness when ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design through deployment to validation, eliminating single points of failure and ensuring seamlessness when ...

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 · 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 · 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

Highlands Ranch, CO · On-site

$116K - $140K/yr

UDR, Inc. is now hiring a Data Engineer to join our team. **This is a hybrid position.** GENERAL SUMMARY OF DUTIES: Builds and operates the data pipelines and conformed data models that bring source ...

Lead Data Engineer

Aurora, CO · On-site

$135 - $155/hr

Principal Data Engineer Location: Remote (within the U.S.) Environment: Remote Status: Exempt, Salaried Who We Are: Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the ...

Sr. Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

Advanced SQL skills (ETL) * Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python * Experience with BigData tools, particularly Spark, and familiarity ...

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

ClifyX is seeking a Data Engineer with hands-on experience in Snowflake and Python. This critical onsite role requires the candidate to work from the Denver, CO office starting Day 1. Qualifications

Principal Data Engineer

Boulder, CO · 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 ...

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 ...

Data Engineer

Englewood, CO · On-site

$113K - $135K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and processing, enabling quicker insights and supporting data scientists and analysts. Responsibilities : • ...

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

GCP DATA ENGINEER Contract * Denver, Colorado * On-site / Hybrid Position Type Contract (1099 / C2C) Duration 6-12 Months (with extension potential) Location Denver, Colorado --5 days on-site Start ...

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Data Engineer, Mid

Aurora, CO · On-site

$78 - $176/hr

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 ...

Data Engineer I

Denver, CO · On-site

$80 - $115/hr

YOUR MISSION We are looking for a Data Engineer I who is an exceptional early-career engineer with strong Python and SQL skills and a passion for solving complex challenging technical problems and ...

New

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 ...

New

Showing results 21-40

Data Engineer information

See Denver, CO salary details

$45.8K

$133.5K

$182.7K

How much do data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer 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 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.

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 jobs in Denver, CO?

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

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

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

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

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

Infographic showing various Data Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,514 per year, or $64.2 per hour.

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Description

Full-Time

$110K - $120K


Continuum is a Managed Service TV advertising platform - making the buying and execution of linear TV advertising easier, faster, and more effective.


Our proprietary platform is the industry's only true linear TV exchange and it connects directly into cable, broadcast, and streaming inventory, allowing us to plan, activate, and optimize campaigns end-to-end within a single system for agencies and advertisers. 

We replace the manual, RFP-based buying process with an exchange model that predicts the availability and price of linear inventory - powered by automation, data, and expert media stewardship. The result: more effective reach, faster execution, and a unified view of campaign performance.


We're a team of around 80 people - independent, profitable, and proud of it. Headquartered in Denver, Colorado, with offices in New York and Cardiff, Wales, we've built a culture anchored in respect, trust, and curiosity. We invest in our people through generous benefits, meaningful profit sharing, and an environment that values both performance and perspective.


The BI Team:


The Business Intelligence team is a team of 6 highly collaborative, pragmatic, analytical individuals. We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design through deployment to validation, eliminating single points of failure and ensuring seamlessness when delivering on the day-to-day and long-term projects alike, gaining the knowledge of not just specific functionalities, but all within the department. Whether it is creating and managing visualizations in our reporting platform for our customers to utilize on the front-end, engineering ETLs regarding numerous, disparate data sources feeding our dashboards and other data assets on the back-end, or supporting our operational teams with custom data processes, you will have a hand in the entirety of the BI platform!


You will report directly to a Lead Data Engineer and work closely with the VP of Data and COO to understand business needs and deliver data solutions that drive decision-making across the organization and move our product forward.

Responsibilities:


  • Engineer and own robust, scalable ETLs for cleaning and ingesting datasets
  • Build and maintain dashboards for use by internal stakeholders and external clients
  • Investigate data discrepancies across ingestion, transformation, and reporting layers, identifying root causes and implementing durable fixes
  • Automate, modularize, and improve existing data ingestions while contributing to orchestration pipelines and expanding data quality assurance
  • Materially improve and expand the company's cloud-based, data platform
  • Implement and/or refine CI/CD, IaC, automated testing, agile, and reporting strategies for the department that can scale
  • Gather requirements from external clients and internal stakeholders and translate them into actionable bodies of work for the BI team
  • Collaborate with software developers and data scientists to deliver cross-departmental solutions
  • Communicate new features and lead trainings for internal users
  • Foster and embrace a healthy culture of collaboration and feedback, strengthening the team's agile roots



Requirements

1-3 years with:

  • BI platform development and/or data engineering
  • Scripting and programming in Python
  • SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc.)
  • One cloud computing service (AWS, GCP, Azure, etc.)
  • Git version control (Bitbucket, GitHub, etc.)
  • Automated tests as a core part of development workflow (unit, integration, etc.)
  • Data visualization tools (Tableau, QuickSight, Power BI, etc.)
  • Validating data accuracy and troubleshooting discrepancies across pipelines or reporting layers (e.g., reconciling source vs. destination data, root-causing anomalies, auditing for correctness, etc.)
  • Working within an agile framework (Kanban, Scrum, etc.)


Preferred Experience:

  • 1-2 years with:
  • IaC tools (CloudFormation, CDK, Terraform, etc.)
  • Building and maintaining CI/CD pipelines (Bitbucket Pipelines, Jenkins, GitHub Actions, etc.)
  • Containerization technologies (Docker, ECS, etc.)


What we offer:


The annual base salary for this position ranges from $110,000 - $120,000, and a comprehensive benefits package - with premiums fully covered by the company. Compensation is determined by role, level, and location, with individual pay further shaped by relevant skills, experience, and education or training.


  • 100% employer-paid premiums for medical, vision, dental and disability
  • Participation in employee profit-sharing bonuses (subject to company performance)
  • Life Insurance, EAP, HSA with employer contribution, Pet Insurance option
  • Unlimited PTO
  • Vacation Incentive Program
  • Hybrid work schedule 3 days in office (Highlands Ranch)
  • 401K company match