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Data Engineer Jobs in Colorado (NOW HIRING)

Lead Data Engineer

Denver, CO

$117K - $141K/yr

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate has extensive experience designing, building, and optimizing modern data pipelines and ...

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 ...

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 ...

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 AI-driven agents and decision systems in production enterprise environments. This role is ...

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate has extensive experience designing, building, and optimizing modern data pipelines and cloudbased ...

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate has extensive experience designing, building, and optimizing modern data pipelines and cloudbased ...

Senior Data Engineer

Denver, CO

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate has extensive experience designing, building, and optimizing modern data pipelines and cloud ...

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Sr Databricks Data Engineer

Denver, CO · On-site

$117K - $141K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Data Engineer (Remote)

Denver, CO · Remote

$117K - $141K/yr

Stay current with AWS services and recommend suitable tools for specific data engineering tasks.  * Develop and support the internal applications using Python, SQL, and Stored Procedures ...

Lead Data Engineer

Denver, CO

$117K - $141K/yr

Summary The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all ...

Senior Data Engineer

Fort Collins, CO · On-site

$110K - $140K/yr

As a Senior Data Engineer, you will lead the design, optimization, and scalability of data platforms that power analytics for our clients. You will be hands-on with data pipelines, large-scale data ...

Job Duties and Responsibilities Data Engineer II by DISH Wireless LLC in Littleton. CO. Develop high-volume, low-latency, data-driven solutions utilizing current and next generation technologies to ...

Senior Data Engineer

Fort Collins, CO · On-site

$110K - $140K/hr

As a Senior Data Engineer, you will lead the design, optimization, and scalability of data platforms that power analytics for our clients. You will be hands-on with data pipelines, large-scale data ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience with BI tools (Power BI, Tableau, Amazon QuickSight). * 8+ years in data engineering (ETL, data transformation ...

Job Duties and Responsibilities Data Engineer II sought by DISH Wireless in Littleton, CO. Maintain a CI/CD pipeline for our data software to ensure we keep quality high and time to market low.

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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 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.
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 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.
Lead Data Engineer

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Company Description

Who We Are

AIR Communities is a Multifamily Real Estate Operator headquartered in Denver, CO. We are one of the country's largest owners and operators of multifamily housing, managing high-quality properties in most major markets. At AIR, we value integrity, respect, collaboration, customer focus, and performance. These values are brought to life by our teammates, who are ultimately responsible for our success. When you join our team, you'll work alongside the most dedicated professionals in the industry and open the door to unlimited career opportunities.

AIR is preparing for growth in 2026! We are adding to several departments in our Denver Headquarters with our anticipated growth. Are you ready to take on a new challenge? 

Where You Will Work 

Our corporate office is located in the Denver Tech Center. Our office spans the top two floors of the building and features expansive views of the mountains and the downtown skyline. 

AIR values relationships and the benefits from working side by side with teammates, therefore this position will be in-office 5 days a week to support operations.

Job Description

Job Description

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate has extensive experience designing, building, and optimizing modern data pipelines and cloud‑based data platforms. In this role, you will help shape scalable data infrastructure that supports analytics, machine learning, and business‑critical applications across the organization.

What you will do:

  • Design, develop, and maintain scalable data pipelines to ingest, transform, and deliver large and diverse datasets.
  • Write efficient, reusable SQL and/or Python for data ingestion, transformation, and integration.
  • Optimize data workflows for performance, reliability, security, and cost‑efficiency in cloud environments.
  • Collaborate with data scientists, analysts, application teams, and business stakeholders to understand data requirements and deliver technical solutions.
  • Implement data governance and security practices across pipeline components and data assets.
  • Monitor data flows, troubleshoot issues, and ensure data quality, availability, and integrity.
  • Integrate data from various internal and external sources into centralized data platforms.
  • Provide technical leadership, mentor junior engineers, and support knowledge‑sharing within the team.
  • Evaluate emerging tools and architectures, recommending improvements to existing systems and processes.
  • Conduct performance tuning and optimization across ingestion, transformation, and storage layers.
Qualifications

What you should have:

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
  • 12–14+ years of experience in data or related engineering roles, with 8+ years focused on data engineering.
  • Advanced proficiency in SQL and/or Python for data processing, transformation, and automation.
  • Hands-on experience building and optimizing data pipelines and integration workflows.
  • Strong understanding of data modeling, performance optimization, and query tuning.
  • Experience working with cloud platforms and their data ecosystem.
  • Knowledge of ETL/ELT concepts, orchestration patterns, and automated data workflows.
  • Understanding of data governance, data security, and handling sensitive or regulated data (e.g., PII).
  • Experience with version control and CI/CD practices.
  • Strong problem-solving abilities with experience in complex or unstructured data environments.
  • Strong analytical and troubleshooting skills, including root-cause analysis.

Preferred qualifications:

  • Experience with distributed data processing or declarative pipeline frameworks.
  • Familiarity with cloud-native functions and workflow orchestration tools.
  • Experience with data governance frameworks, metadata management, or cataloging solutions.
  • Knowledge of columnar storage and big-data file formats.
  • Familiarity with modern table formats such as Parquet, Delta, or Iceberg.

Required Soft Skills:

  • Strong leadership and mentorship abilities, with a focus on elevating team capability and fostering knowledge sharing.
  • Strategic thinking and the ability to align engineering work with broader business objectives.
  • Effective communication skills, including the ability to translate technical concepts for non‑technical audiences.
  • Collaboration-oriented mindset, thriving in cross-functional environments with product, analytics, and engineering partners.
  • Adaptability and resilience in navigating ambiguity, shifting priorities, or evolving technical landscapes.
  • Proactive initiative, consistently identifying opportunities for improvement and driving solutions forward.
  • Commitment to quality and craft, with a strong sense of ownership over system performance and reliability.
  • Growth mindset, continuously seeking new knowledge, tools, and approaches to improve team outcomes.

Additional Information

AIR offers attractive total compensation packages designed to recognize and reward performance at the individual, team and company levels. We start with a competitive base salary and add bonus opportunities and benefit choices topped off with:

  • Expected pay rate of $$135,000 - $160,000 plus annual bonus. You will be provided a pay rate that is in line with your skills and experience as they relate to the requirements of the job.
  • 25% Discounted Rent at AIR communities (certain exclusions apply, and an application is required).
  • Medical, dental, vision, and life insurance options available. HSA with company sponsored contributions, FSA (traditional and dependent care FSA).
  • Short and long-term disability paid by the company.
  • 401(K) plus company contributions.
  • Paid Vacation, 14 Paid Holidays, and Paid Sick Time.
  • Tuition Assistance Program.
  • Commuter Benefits and Pet-Insurance.
  • Up to 100% Reimbursement on Professional Certification/Licensing for Job Related Curriculums.
  • Paid parental leave of up to 16 weeks, following the birth or adoption of a child.
  • Consumer discounts from various products and services including travel planning, wireless phones, health and fitness, home appliances, and more.
  • 15 hours of paid time annually to give-back to your community.
  • Opportunities for professional development and career growth including realistic job previews, in person and virtual leadership training, and performance improvement courses.

Application Deadline:  The initial deadline for applications is 6/9/2026. Applications submitted after this date may still be considered on a rolling basis until the position/program is filled. We encourage all interested candidates to apply as early as possible. If a final decision has not been made by the initial deadline, subsequent applications will be reviewed as they are received.

Candidates extended an offer will be required to undergo pre-employment screening that includes checking references, a four-panel drug screening that excludes marijuana testing, employment verification & criminal background check.

AIR values diversity and provides equal employment opportunities to all employees and applicants for employment. AIR prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.