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Azure Data Engineer Jobs in Highlands Ranch, CO (NOW HIRING)

GEI Consultants

AI Engineer

Denver, CO

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse ...

GEI Consultants

AI Engineer

Denver, CO · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse ...

RK Mechanical

Business Intelligence Developer

Denver, CO · On-site

$90K - $120K/yr

... data engineer related to data integration, data modeling, analytics, and reporting and/or Azure or AWS cloud solutions. * 2+ years' experience with Microsoft SQL Server environment using SQL, T-SQL ...

Vantage Data Centers

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Vantage Data Centers is seeking a Senior Data Engineer to help evolve and scale our enterprise data ... Exposure to additional Azure data services such as Azure Synapse, Azure Data Factory, Azure SQL ...

Ruri Software Technologies LLC

Data Engineer

Denver, CO · 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 • Data ...

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Expertise with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data ...

Colorado Rockies

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

The Senior Data Engineer will design, build, maintain, and optimize the pipelines, data models ... Hands-on experience with a major cloud platform (AWS, Azure, or GCP) and a modern data platform ...

Colorado Rockies

Senior Data Engineer

Denver, CO

$165K/yr

The Senior Data Engineer will design, build, maintain, and optimize the pipelines, data models ... Hands-on experience with a major cloud platform (AWS, Azure, or GCP) and a modern data platform ...

Ookla

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should ...

Ookla

Data Engineer

Denver, CO

As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should ...

Ookla

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should ...

Ookla

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Highlands Ranch, CO

Azure Data Engineer information

See Highlands Ranch, CO salary details

$46.7K

$136.2K

$186.3K

How much do azure data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for azure data engineer in Highlands Ranch, CO is $136,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $144,300.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.

What are popular job titles related to Azure Data Engineer jobs in Highlands Ranch, CO?

For Azure Data Engineer jobs in Highlands Ranch, CO, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Highlands Ranch, CO look for?

The top searched job categories for Azure Data Engineer jobs in Highlands Ranch, CO are:

What cities near Highlands Ranch, CO are hiring for Azure Data Engineer jobs?

Cities near Highlands Ranch, CO with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Highlands Ranch, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $136,152 per year, or $65.5 per hour.

Title Sr. Manager, Data Engineering | Full-Time | Denver Tech Center

Oak View Group

Denver, CO • On-site

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Oak View Group rating

6.2

Company rating: 6.2 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

23rd of 36 rated event venues

Job description

Sr. Manager, Data Engineering | Full-Time | Denver Tech Center
Location US-CO-Denver
Job Post Information* : Posted Date 2 weeks ago(8/4/2026 4:17 PM)
Job ID 2026-33537
Category Marketing
Type Regular Full-Time
Location : Location US-CO-Denver
Job Post Information* : External Company Name Oak View Group
Job Post Information* : External Company URL https://www.oakviewgroup.com/
Location : Postal Code 80237
Location : Address 5050 S. Syracuse St, 8th Floor
Job Post Information* : Post End Date 11/6/2026
Overview

Oak View Group is hiring a Sr. Manager, Data Engineering based in Denver, CO, reporting to the Sr. Director, Data & Analytics. As we continue to grow and redefine the landscape of sports, live entertainment, and hospitality, Oak View Group is evolving the pivotal role of Sr. Manager, Data Engineering to lead both the development of our data platform and a growing team of data engineers. This individual will be instrumental in architecting and executing data strategies that empower our business with actionable insights, fostering a culture of data-driven decision-making across our global operations. The Sr. Manager, Data Engineering will bring deep technical expertise and strong people leadership to drive the development and optimization of our data infrastructure, systems, and analytics capabilities. They will employ agile methodologies to adapt to and anticipate the needs of our rapidly evolving business landscape, while ensuring team alignment, delivery excellence, and scalable growth of our data platform.

This role pays an annual salary of $150,000 and is bonus eligible.

Benefits for Full-Time roles: Health, Dental and Vision Insurance, 401(k) Savings Plan, 401(k) matching, and Paid Time Off (vacation days, sick days, and 11 holidays)

This position will remain open until November 6, 2026.

Responsibilities
  • Architect, develop, and optimize data pipelines, databases, and analytics platforms within Azure to support business intelligence, data science, and operational applications.
  • Lead and manage a team of 1-3 data engineers, providing mentorship, technical guidance, and performance management to drive high-quality execution and career development.
  • Own the data engineering roadmap, prioritizing integrations, platform enhancements, and scalability initiatives aligned with business goals.
  • Collaborate with stakeholders across the organization to understand data needs, deliver solutions that drive business value, and align efforts with the company's strategic objectives.
  • Implement and scale agile data engineering practices, adapting to business shifts and technological advancements with flexibility and foresight.
  • Champion a culture of data-driven decision-making, ensuring data quality, governance, and security standards are upheld.
  • Establish best practices for code quality, data modeling, testing, and deployment, improving the reliability and maintainability of the data platform.
  • Foster and manage relationships with external partners and vendors, ensuring seamless integration of their services and technologies into our data infrastructure to enhance our capabilities and drive innovation.
Qualifications
  • Bachelor's degree in computer science, engineering, or a related field.
  • 4-6+ years of data engineering experience.
  • Ability to manage a small team while remaining hands-on.
  • Proficient in data engineering tools, ETL processes, APIs, and data warehousing, with a proven ability to develop and manage efficient data pipelines.
  • Familiarity with Azure cloud services, showcasing the ability to utilize Azure's data services to create scalable and secure data solutions.
  • Effective collaboration with analytics, business intelligence, and IT teams to align data solutions with organizational objectives.
  • Experience with data governance, security practices, and compliance regulations.
  • Demonstrated experience in balancing multiple projects simultaneously, with a track record of meeting deadlines and business goals.
  • Strong communication skills, with the ability to translate technical concepts into business impact.
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