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Databricks Engineer Jobs in Colorado (NOW HIRING)

Delivery Solutions Architect - Retail

Denver, CO ยท On-site

$64.75 - $85.50/hr

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by ...

Solutions Architect

Denver, CO ยท On-site

$180 - $248/hr

You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop ...

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 ยท On-site

$103.04 - $136.01/hr

Databricks Site Reliability EngineerAs the Site Reliability Engineer, you will support CoorsTek ... Databricks application and data product strategy by ensuring solutions built, migrated, and ...

Software Site Reliability Engineer

Golden, CO ยท 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 ยท 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 ...

Data Engineer

Boulder, CO

$112K - $134K/yr

USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Nice to have Fabric ...

Senior AI Engineer

Englewood, CO ยท On-site

$103K - $142K/yr

The ideal candidate has deep Databricks expertise, strong data engineering experience, and a proven ability to mentor engineers while driving platform architecture, governance, and automation ...

Data Engineer

Boulder, CO ยท On-site

$112K - $134K/yr

USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Nice to have Fabric ...

Data Engineer

Boulder, CO ยท On-site

$112K - $134K/yr

USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Nice to have Fabric ...

Senior Agentic AI Engineer

Englewood, CO ยท 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 ยท 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.

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.

Forward Deployed Data Engineer

Golden, CO ยท 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 ยท 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 ...

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 Aug 21, 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 August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $117,383 per year, or $56.4 per hour.

Delivery Solutions Architect - Retail

Databricks

Denver, CO โ€ข On-site

$64.75 - $85.50/hr

Full-time

Posted 7 days ago


Job description

FEQ227R317

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.ย 

The impact you will have:

  • Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
  • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
  • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
  • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
  • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
  • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
  • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
  • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
    • Main use cases moving from 'win' to production
    • Enablement / user growth plan
    • Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
    • Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
    • Executive and operational governance
  • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

  • 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
  • Programming experience in Python, SQL or Scalaย 
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
  • Understanding of solution architecture related distributed data systems
  • Understanding of how to attribute business value and outcomes to specific project deliverables
  • Technical program, or project management including account, stakeholder and resource management accountability
  • Experience resolving complex and important escalation with senior customer executives
  • Experience conducting open-ended discovery workshops,ย  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
  • Track record of overachievement against quota, Goals or similar objective targets
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
  • Can travel up to 30% when needed