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Azure Databricks Jobs in Denver, CO (NOW HIRING)

AutoStore System Inc.

Senior Software Engineer

Denver, CO · On-site

$130 - $150/hr

Experience working with data lake platforms, particularly Azure Databricks. * Advanced proficiency in TypeScript and .NET languages including C# and F#; functional programming experience is highly ...

RK Industries, LLC

Report Developer

Denver, CO · On-site

$70K - $90K/yr

Azure Data Platform (Azure Data Lake, Data Factory, Azure Databricks, Data Management Gateway, Azure Storage Options, Data Lake Analytics, Stream Analytics, EventHubs, Azure SQL) * On premise ...

RK Mechanical

Report Developer

Denver, CO · On-site

$70K - $90K/yr

Azure Data Platform (Azure Data Lake, Data Factory, Azure Databricks, Data Management Gateway, Azure Storage Options, Data Lake Analytics, Stream Analytics, EventHubs, Azure SQL) * On premise ...

Bridge Specialty Group

Senior Power BI Lead

Denver, CO · On-site

Experience with Azure, Databricks, Microsoft Fabric, Azure Data Lake, Synapse, SQL Server, Analysis Services, Purview, or related Microsoft data platform capabilities. * Experience with Tableau or ...

Arrowhead Programs

Senior Power BI Lead

Denver, CO · On-site

Experience with Azure, Databricks, Microsoft Fabric, Azure Data Lake, Synapse, SQL Server, Analysis Services, Purview, or related Microsoft data platform capabilities. * Experience with Tableau or ...

GEI Consultants

AI Engineer

Denver, CO · On-site

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.

Socket.dev

Senior Software Engineer

Denver, CO · On-site

$130 - $150/hr

Experience working with data lake platforms, particularly Azure Databricks. * Advanced proficiency in TypeScript and .NET languages including C# and F#; functional programming experience is highly ...

GEI Consultants

AI Engineer

Denver, CO

$110K - $150K/yr

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.

AutoStore System, Inc

Senior Software Engineer

Denver, CO · On-site

$130 - $150/hr

Experience working with data lake platforms, particularly Azure Databricks.* Advanced proficiency in TypeScript and .NET languages including C# and F#; functional programming experience is highly ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

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 ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$90K - $150K/yr

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 ...

Stackinfra

Platform Engineer - AI Infrastructure

Denver, CO · On-site

$110K - $145K/yr

Design, deploy, and manage Azure infrastructure across dual EA subscriptions (Dev/Non-Prod and Production) including Databricks workspaces, AI Search clusters, Cosmos DB instances, ADLS Gen2, Azure ...

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Showing results 21-40

All JobsAzure Databricks JobsAzure Databricks Jobs in Denver, CO

Azure Databricks information

See Denver, CO salary details

$11

$60

$82

How much do azure databricks jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for azure databricks in Denver, CO is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $54.42 and $67.55 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

What does an Azure Databricks do?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

What are the key skills and qualifications needed for an Azure Databricks?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

What are the most commonly searched types of Azure Databricks jobs in Denver, CO? The most popular types of Azure Databricks jobs in Denver, CO are:
What are popular job titles related to Azure Databricks jobs in Denver, CO? For Azure Databricks jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Azure Databricks jobs in Denver, CO look for? The top searched job categories for Azure Databricks jobs in Denver, CO are:
Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Denver, CO as of August 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 67% Physical, 8% Hybrid, and 25% Remote job distribution, with an average salary of $125,033 per year, or $60.1 per hour.

Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

Databricks

Denver, CO • On-site

$107K - $147K/yr

Full-time

Re-posted 15 hours ago

Job description

CSQ127R318

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. 

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
  • Documentation and white-boarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

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