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Databricks Data Engineer Jobs in Colorado (NOW HIRING)

AI Engineer

Denver, CO

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

Data Engineer

Denver, CO · On-site

$117.80K - $141.50K/yr

... Databricks or similar data platform (Spark based) • Microsoft BI tools (Power BI or similar) for ... DevOps) • Strong understanding of data warehousing and data modeling concepts -- star schema ...

Director, Data Engineer Salary Range $200,000.00 - $225,000.00 Salary/year Level Management ... Architect and develop scalable ETL and ELT pipelines using Databricks, Matillion, dbt and Python to ...

Senior Data Engineer

Denver, CO

$109.10K - $148.20K/yr

Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems * Cross-team Collaboration:

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Senior Data Engineer

Denver, CO

$109.10K - $148.20K/yr

Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems * Cross-team Collaboration:

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Sr. Solutions Engineer

Denver, CO · On-site

$56.75 - $73.25/hr

Databricks is the data and AI company, and they are seeking a Sr. Solutions Engineer to help large enterprises become more data-driven. The role involves defining and directing the technical strategy ...

Job#: 3032896 Data Engineer Location: Greenwood Village, Colorado (On-site) Employment Type ... like Databricks. * Familiarity with cloud platforms such as AWS and related services (e.g., AWS ...

DIRECTOR, DATA ENGINEER

Denver, CO · On-site

$117.80K - $141.50K/yr

Architect and develop scalable ETL and ELT pipelines using Databricks, Matillion, dbt and Python to ... Strong Python skills applied to data engineering workflows including pipeline development, data ...

Principal Data Engineer

Boulder, CO · On-site +1

$140K - $187.70K/yr

Python, Pyspark, Kafka, Databricks, AWS What you'll be doing: Data Platform & Architecture * Own ... Establish and champion AI engineering practices across the team, from prompt engineering and RAG ...

Azure/Databricks Infrastructure Engineer

Denver, CO · On-site

$110.60K - $145.10K/yr

Deloitte's AI & Engineering practice is seeking an Azure/Databricks Infrastructure Engineer to help organizations modernize their enterprise cloud and data platforms on Azure. The role involves ...

New

Sr. Solutions Engineer - Hunter Team

Denver, CO · On-site

$56.75 - $73.25/hr

Databricks is the data and AI company that helps enterprises become more data-driven. The Sr. Solutions Engineer will work with the Enterprise Account Executive to define and direct the technical ...

Work within the modern data stack to transform complex datasets using Databricks and Spark and ... Associate Cloud Data engineering certification (example: Azure Data Engineer Associate (DP-203 ...

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services, and ...

Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. * Container ... Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To ...

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Showing results 1-20

Databricks Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do databricks data engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for databricks 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 a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.
What are the most commonly searched types of Databricks Data Engineer jobs in Colorado? The most popular types of Databricks Data Engineer jobs in Colorado are:
What are popular job titles related to Databricks Data Engineer jobs in Colorado? For Databricks Data Engineer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Databricks Data Engineer jobs? Cities in Colorado with the most Databricks Data Engineer job openings:
Infographic showing various Databricks Data Engineer job openings in Colorado as of May 2026, with employment types broken down into 91% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 59% Physical, and 41% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.
AI Engineer

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Description

Your role at GEI. 
 
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.
 
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and capable of scaling across use cases.
 
Essential Responsibilities & Duties 
  • Build and deploy AI-based solutions using pretrained models and Copilot technologies.
  • Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
  • Integrate AI capabilities into business workflows and applications.
  • Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
  • Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
  • Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
  • Provide technical support and troubleshooting for deployed AI solutions.
  • Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications  
  • 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
  • Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
  • Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
  • Experience delivering Generative AI (LLM) solutions, preferably on Azure.
  • Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
  • Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
  • Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
  • Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
  • Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
  • Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, 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: $110,000.00– $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
 
xÂ