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Data Engineer Jobs in Wheat Ridge, CO (NOW HIRING)

Data Engineer

Denver, CO ยท 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 ...

Data Engineer

Denver, CO ยท 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 ...

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has potential for a hybrid work schedule. You will help design, build, and support our enterprise 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

Aurora, CO ยท On-site

$105K - $135K/yr

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has potential for a hybrid work schedule. You will help design, build, and support our enterprise data ...

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

$117K - $141K/yr

The Data Engineer will be responsible for establishing scalable data architecture, ensuring data integrity, and enabling real-time decision-making to support the company's transition to a data ...

Data Engineer III

Denver, CO ยท On-site

$117K - $141K/yr

Data Engineer III Location: Denver, CO Hybrid (US) Team: Global Data Platform Engineering (Datamancers) Reports To: Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data ...

Data Engineer III

Denver, CO ยท On-site

$117K - $141K/yr

Data Engineer III Location: Denver, CO Hybrid (US) Team: Global Data Platform Engineering (Datamancers) Reports To: Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data ...

Data Engineer III

Denver, CO ยท On-site +1

$117K - $141K/yr

Data Engineer III Location: Denver, CO Hybrid (US) Team: Global Data Platform Engineering (Datamancers) Reports To: Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data ...

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 ...

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 ...

Data Engineer

Denver, CO ยท 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

GCP DATA ENGINEER

Denver, CO ยท 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 ...

Showing results 21-40

Data Engineer information

See Wheat Ridge, CO salary details

$47.3K

$137.9K

$188.6K

How much do data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer in Wheat Ridge, CO is $137,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $146,100.00 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.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Wheat Ridge, CO?

The most popular types of Data Engineer jobs in Wheat Ridge, CO are:

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

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

Infographic showing various Data Engineer job openings in Wheat Ridge, CO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,852 per year, or $66.3 per hour.

Data Engineer

Continuum Media Network Inc

Denver, CO โ€ข On-site

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 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