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Senior Microsoft Azure Data Engineer Jobs in Colorado

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Senior Data Platform Engineer

Almont, CO · On-site

$70 - $75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote Our client is seeking a Senior Data Platform Engineer to own and improve engineering ... Integrate Airflow with Azure Data Factory, Microsoft SQL Server, APIs, file systems, cloud storage ...

Senior Data Engineer

Denver, CO

$108K - $147K/yr

Senior Data Engineer Denver, CO YES Communities, founded in 2008, owns and operates nearly 300 ... Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, SSIS, and SQL ...

Senior Data Manager

Denver, CO

$69.25 - $92.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities & Qualifications RESPONSIBILITIES The Senior Data Manager is expected to be able ... Microsoft Azure Data Engineer Associate * Microsoft SQL Server / Azure Database certifications

Senior Data Engineer

Denver, CO · On-site

$145K - $155K/yr

  • Medical

  • Life

  • Retirement

Senior Data Engineer Denver, CO YES Communities, founded in 2008, owns and operates nearly 300 ... Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, SSIS, and SQL ...

Cloud Engineer II

Golden, CO

$57.50 - $77/hr

... or data platform engineering. * Strong hands-on experience with Microsoft Azure core services. * Practical experience administering and supporting Azure Databricks in production environments.

Cloud Infrastructure Engineer (IT)

Louisville, CO · On-site

$58.25 - $77.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Expanding hybrid Active Directory and Microsoft Entra ID services * Building scalable Azure infrastructure supporting engineering workloads * Supporting Azure SQL environments and future cloud data ...

Cloud Infrastructure Engineer (IT)

Louisville, CO · On-site

$58.25 - $77.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Expanding hybrid Active Directory and Microsoft Entra ID services * Building scalable Azure infrastructure supporting engineering workloads * Supporting Azure SQL environments and future cloud data ...

Cloud Infrastructure Engineer (IT)

Louisville, CO · Hybrid

$58.25 - $77.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Expanding hybrid Active Directory and Microsoft Entra ID services * Building scalable Azure infrastructure supporting engineering workloads * Supporting Azure SQL environments and future cloud data ...

Cloud Infrastructure Engineer (IT)

Louisville, CO · On-site

$58.25 - $77.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Expanding hybrid Active Directory and Microsoft Entra ID services * Building scalable Azure infrastructure supporting engineering workloads * Supporting Azure SQL environments and future cloud data ...

Azure .Net Developer

Englewood, CO · On-site

$70 - $75/hr

NET Developer or Senior Full Stack Developer building and deploying applications in Microsoft Azure ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

Senior Data Engineer, Global

Denver, CO

$109K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Vantage Data Centersis seeking a Senior Data Engineer to help evolve and scale our enterprise data ... Experience building enterprise data solutions on Microsoft Azure, with strong hands-on experience ...

Sr. Microsoft Power Platform Engineer

Broomfield, CO · On-site

$140K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage and develop power platform data services (Dataverse) and their use cases and governance ... Title: Sr. Microsoft Power Platform Engineer Salary or Pay Range: $140,000 - $150,000 Pay offered ...

Sr. Microsoft Power Platform Engineer

Broomfield, CO · On-site

$140K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage and develop power platform data services (Dataverse) and their use cases and governance ... Title: Sr. Microsoft Power Platform Engineer Salary or Pay Range: $140,000 - $150,000 Pay offered ...

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Vantage Data Centers is seeking a Senior Data Engineer to help evolve and scale our enterprise data ... Experience building enterprise data solutions on Microsoft Azure, with strong hands-on experience ...

Senior Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$109K - $148K/yr

  • Medical

  • Retirement

  • PTO

... data engineering solutions on cloud platform * 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP) * Advanced level proficiency with ...

Showing results 21-40

Senior Microsoft Azure Data Engineer information

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

What are the key skills and qualifications needed to thrive as a Senior Microsoft Azure Data Engineer, and why are they important?

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

What is the difference between Senior Microsoft Azure Data Engineer vs Data Engineer?

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different environments.

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

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

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

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

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

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

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

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

$117K - $141K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

285th of 449 rated engineering


Job description

Description
Your role at GEI.
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
Essential Responsibilities & Duties
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.

We are GEI.
Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here .
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here .
GEI's Total Rewards Package Includes
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 - $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here )
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More...

PHYSICAL REQUIREMENTS
WORK ENVIRONMENT
Functional Demands:
Sedentary
x
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination
Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours :
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.

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