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Databricks Engineer Jobs in Colorado (NOW HIRING)

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 ...

Senior AI/ML Platform Engineer

Denver, CO · On-site

$107K - $147K/yr

Design, build, and support enterprise AI/ML platforms across Databricks, AWS, MLflow, model ... Define engineering standards for experimentation, model promotion, observability, governance, and ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Maintain deep expertise in data engineering and modern data architectures and Databricks ... capabilities. * Operations: Review solution performance, and continually assess health of systems.

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Maintain deep expertise in data engineering and modern data architectures and Databricks ... capabilities. * Operations: Review solution performance, and continually assess health of systems.

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 ...

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 ...

Data & AI Platform Engineer

Denver, CO · On-site

$117K - $141K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

Senior Software Engineer

Westminster, CO · On-site

$123K - $163K/yr

... on Databricks. • Optimize and fine-tune Spark jobs for performance, including resource ... engineering best practices and standards. Qualifications About you: • 5+ years of software ...

Power BI dashboards on Databricks SQL Warehouse - review throughput, accuracy, time saved ... Analytics engineering standards - dbt or equivalent modeling, version control, lineage ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

This role requires leveraging AWS native technologies and Databricks for data transformations and ... lead developers to identify and document manual data movement workflows and design automation ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data ... This role requires leveraging AWS native technologies and Databricks for data transformations and ...

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, workflows ...

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, workflows ...

Showing results 41-60

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.

Cloud Engineer II

Golden, CO • On-site

CoorsTek, Inc.
Ceramic, Glass, Cement Product Manufacturing • 1 - 5K employees

$57.50 - $77/hr

Full-time

Re-posted 11 days ago


CoorsTek rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

It's exciting to work for a company that makes the world measurably better.
We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing.
Job Title
Cloud Engineer II
The Cloud Engineer II will design, implement, and support cloud-native platform and data solutions in Azure, with moderate to high complexity. This role is expected to operate independently across day-to-day engineering tasks, with strong hands-on responsibility for Azure infrastructure, Azure Databricks environments, SQL-based data processing, and secure cloud connectivity. The engineer partners across infrastructure, security, analytics, and application teams to improve platform reliability, automation, performance, and networking integration.
** We are an ITAR Regulated Company and to be considered for Employment with us you must be either a US Citizen or Lawful Permanent Resident**
**This role is Onsite at our Golden, CO Global Headquarters location**
Roles and Responsibilities:
  • Design, implement, and maintain scalable Azure-based infrastructure and data platform components.
  • Build, support, and optimize Azure Databricks workspaces, notebooks, jobs, clusters, and integrations.
  • Develop and tune SQL queries, stored procedures, views, and data validation logic supporting analytics and operational workloads.
  • Implement and support Azure networking and connectivity patterns including VNets, subnet design, NSGs, private endpoints, service endpoints, DNS dependencies, and hybrid connectivity coordination.
  • Troubleshoot connectivity issues across Azure infrastructure, Azure Databricks, storage accounts, SQL services, identity controls, and integration points.
  • Implement infrastructure and configuration changes using Infrastructure as Code and CI/CD pipelines.
  • Monitor platform performance, reliability, cost, and connectivity health; recommend and execute improvements.
  • Partner with data engineering and analytics teams on ingestion, transformation, and operationalization of data solutions.
  • Apply security, compliance, and governance controls across Azure resources, data services, and network access patterns.
  • Create technical documentation, runbooks, support models, and implementation standards.
  • Mentor junior engineers and contribute to engineering best practices.

Required Qualifications
  • Bachelor's degree in a related field or equivalent experience.
  • 3-6 years of experience in cloud engineering, infrastructure engineering, or data platform engineering.
  • Strong hands-on experience with Microsoft Azure core services.
  • Practical experience administering and supporting Azure Databricks in production environments.
  • Strong SQL skills, including query optimization, data modeling support, transformation logic, and troubleshooting.
  • Working knowledge of Azure networking, including VNet integration, subnetting, NSGs, private endpoints, secure service connectivity, and connectivity troubleshooting.
  • Experience with Python and/or PowerShell for automation and operational support.
  • Experience with Infrastructure as Code tools such as Terraform, Bicep, or ARM.
  • Understanding of cloud networking, IAM, monitoring, backup/recovery, and platform security controls.
  • Ability to work independently and collaborate across technical teams.

Preferred Qualifications
  • Experience with Azure Data Factory, Synapse, Event Hubs, or Delta Lake.
  • Familiarity with data pipeline orchestration, DevOps practices, and release automation.
  • Exposure to hybrid connectivity patterns involving VPN, ExpressRoute coordination, or enterprise DNS integration.
  • Azure Administrator, Azure Data Engineer, or similar certification.
  • Experience in regulated, enterprise, or production-critical environments.

CoorsTek in the News:
  • Future HQ/Downtown Golden Development Project: Home-Clayworks
  • CoorsTek Launches Advanced Manufacturing Academy in Colorado: Article
  • Great Place to Work Certified

#LI-MR1
Target Hiring Range
Annual Salary: USD 103,040.00 - USD 136,013.00
Actual compensation is commensurate with experience, skills and education. CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation.
If you like working for a company that makes a real difference in the world, you'll enjoy your career with us!

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