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Azure Data Engineer Jobs in Colorado (NOW HIRING)

Overwatch Agriculture

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

Qualifications: * 5+ years of hands-on data engineering experience with Python, Scala, or Java * 3+ years of experience with cloud vendors (AWS, Azure, GCP), data warehouse services (e.g., Redshift ...

Viasat, Inc.

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

Pwc

Data Governance- Manager

Denver, CO · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Pwc

Data Engineer - Senior Associate

Denver, CO · On-site

$77K - $202K/yr

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

HirexHire

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure ...

Continuum Media Network, Inc.

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 ... One cloud computing service (AWS, GCP, Azure, etc.) * Git version control (Bitbucket, GitHub, etc.

HirexHire

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure ...

Continuum Media Network Inc

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 ... One cloud computing service (AWS, GCP, Azure, etc.) * Git version control (Bitbucket, GitHub, etc.

Continuum Media Network Inc

Data Engineer

Denver, CO

$110K - $120K/yr

We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design ... One cloud computing service (AWS, GCP, Azure, etc.) * Git version control (Bitbucket, GitHub, etc.

HirexHire

Data Engineering Lead

Denver, CO · On-site

$117K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure ...

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer ... Strong experience with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and ...

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 ...

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Showing results 41-60

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Colorado

Azure Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do azure data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for azure 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 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.

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 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.

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 the most commonly searched types of Azure Data Engineer jobs in Colorado?

The most popular types of Azure Data Engineer jobs in Colorado are:

What are popular job titles related to Azure Data Engineer jobs in Colorado?

For Azure Data Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Colorado look for?

The top searched job categories for Azure Data Engineer jobs in Colorado are:

What cities in Colorado are hiring for Azure Data Engineer jobs?

Cities in Colorado with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Colorado 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 $136,399 per year, or $65.6 per hour.

Principal Data Engineer

Overwatch Agriculture

Boulder, CO • On-site

$120K - $165K/yr

Full-time

Re-posted 18 days ago

Job description

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 engineering, streaming technologies, and leadership to drive the team towards achieving business objectives.

Key Responsibilities:

  • Team Leadership: Lead, mentor, and manage a team of data engineers specializing in streaming technologies.

  • Data Pipeline Development: Design and implement high-throughput, low-latency streaming data pipelines using Apache Kafka, ensuring integration with cloud services (e.g., BigQuery, Looker).

  • Data Analytics: Oversee the development of stream processing applications using Apache Spark or Apache Flink, and implement real-time data transformations and analytics using KSQL.

  • Data Storage: Design and maintain scalable data storage solutions with ClickHouse for fast analytics on streaming data.

  • ETL Processes: Lead the design and implementation of ETL processes, extracting, transforming, and loading data into a data warehouse.

  • Data Quality: Ensure data integrity, consistency, and accuracy through robust data quality assurance.

  • Optimization: Optimize performance and implement best practices in data engineering, covering data quality, security, and efficiency.

  • Collaboration: Collaborate with stakeholders to gather requirements and align data strategies with business objectives.

  • Technology Updates: Stay current with emerging technologies in streaming and cloud environments, evaluating their potential application.

Qualifications:

  • 5+ years of hands-on data engineering experience with Python, Scala, or Java

  • 3+ years of experience with cloud vendors (AWS, Azure, GCP), data warehouse services (e.g., Redshift, Databricks), and cloud storage

  • Expertise in KSQL, ClickHouse, ETL/ELT tools (e.g., Airflow, ADF, Glue, NiFi), and orchestration

  • Proficiency in code versioning (Git) and CI/CD pipelines

  • Experience with stream processing tools (Apache Kafka, Apache Flink, Apache Spark Structured Streaming)

  • Strong understanding of data modeling, optimization techniques, and stream processing patterns

  • Excellent leadership and mentorship skills with at least 2 years in a leadership role

Nice to Have:

  • Experience with NoSQL databases, Kafka Connect, Kafka Streams, Superset for data visualization

  • Knowledge of integrating real-time machine learning models into streaming environments

  • Expertise with monitoring and observability tools for streaming systems

Why Join Overwatch Agriculture?

At Overwatch Agriculture, we prioritize people over processes, fostering a supportive and tech-savvy environment. Our customized benefits prioritize your well-being and professional growth, making this an ideal opportunity for tech enthusiasts.