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Databricks Engineer Jobs in Colorado (NOW HIRING)

At Databricks, our core principles are at the heart of everything we do; creating a culture of ... Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and ...

At Databricks, our core principles are at the heart of everything we do; creating a culture of ... Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and ...

Software Site Reliability Engineer

Golden, CO · On-site

$58.75 - $78.25/hr

As the Databricks Site Reliability Engineer, you will support production reliability for Databricks-hosted applications (pattern B), analytics products, workflows, and AI-enabled solutions. In this ...

Software Site Reliability Engineer

Golden, CO · On-site

$58.75 - $78.25/hr

As the Databricks Site Reliability Engineer, you will support production reliability for Databricks-hosted applications (pattern B), analytics products, workflows, and AI-enabled solutions. In this ...

Software Site Reliability Engineer

Golden, CO · On-site

$58.75 - $78.25/hr

As the Databricks Site Reliability Engineer, you will support production reliability for Databricks-hosted applications (pattern B), analytics products, workflows, and AI-enabled solutions. In this ...

Experience Requirements: * 12+ years of data engineering and data architecture experience. * Extensive Data Modeling. * Hands-on expertise with Databricks and Spark, with emphasis on Azure Databricks.

Senior Agentic AI Engineer

Englewood, CO · On-site

$116K - $158K/yr

The Sr. Agentic AI Engineer role exists to lead technical onboarding of users, teams, and data ... Deploy and operationalize Databricks-native AI capabilities, including Genie and Mosaic AI, and ...

Senior Agentic AI Engineer

Englewood, CO · On-site

$116K - $158K/yr

The Sr. Agentic AI Engineer role exists to lead technical onboarding of users, teams, and data ... Deploy and operationalize Databricks-native AI capabilities, including Genie and Mosaic AI, and ...

Senior Agentic AI Engineer

Englewood, CO · On-site

$116K - $158K/yr

The Sr. Agentic AI Engineer role exists to lead technical onboarding of users, teams, and data ... Deploy and operationalize Databricks-native AI capabilities, including Genie and Mosaic AI, and ...

Senior Agentic AI Engineer

Englewood, CO · On-site

$116K - $158K/yr

The Sr. Agentic AI Engineer role exists to lead technical onboarding of users, teams, and data ... Deploy and operationalize Databricks-native AI capabilities, including Genie and Mosaic AI, and ...

AI Engineer

Denver, CO · On-site

$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.

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.

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Develop and/or support Databricks-based data products, pipelines, notebooks, dashboards, models ... Coach plant engineers, analysts, and business users on data definitions, data quality, Databricks ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Develop and/or support Databricks-based data products, pipelines, notebooks, dashboards, models ... Coach plant engineers, analysts, and business users on data definitions, data quality, Databricks ...

Cloud Engineer II

Golden, CO · On-site

$57.50 - $77/hr

Job Title Cloud Engineer II The Cloud Engineer II will design, implement, and support cloud-native ... Build, support, and optimize Azure Databricks workspaces, notebooks, jobs, clusters, and ...

Cloud Engineer II

Golden, CO · On-site

$57.50 - $77/hr

Job Title Cloud Engineer II The Cloud Engineer II will design, implement, and support cloud-native ... Build, support, and optimize Azure Databricks workspaces, notebooks, jobs, clusters, and ...

Showing results 21-40

Databricks Engineer information

See Colorado salary details

$62.6K

$117.4K

$213.5K

How much do databricks engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for databricks engineer in Colorado is $117,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $139,300.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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

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

What cities in Colorado are hiring for Databricks Engineer jobs?

Cities in Colorado with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Colorado as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $117,383 per year, or $56.4 per hour.

Sr. Solutions Architect

Denver, CO

Databricks
Software Development • 5 - 10K employees

Full-time

Posted 29 days ago


Job description

FEQ327R503

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

  • Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.

  • Coach junior Solutions Architects and teams on use case prioritization and building technical champions.

  • You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.

  • Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.

  • Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

  • Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

  • 10+ years of customer-facing technical experience.
  • Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.

  • Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.

  • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.

  • Hands-on expertise with complex proofs-of-concept and public cloud platform(s).

  • Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

  • Can travel up to 30% when needed.