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Databricks Engineer Jobs in Denver, CO (NOW HIRING)

Sr Databricks Data Engineer

Denver, CO · On-site

$117K - $141K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Databricks Lead

Englewood, CO · On-site

$101K - $134K/yr

Lead Databricks architecture for Bronze and Silver layer engineering * Design and enforce ingestion, transformation, and data quality patterns * Review and certify all AI-generated Spark code for ...

Databricks Data Engineer II

Denver, CO · On-site

$117K - $141K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Senior Data Engineer - Databricks

Denver, CO · On-site

$117K - $141K/yr

As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving production reliability, cost efficiency, and platform growth through customer onboarding and legacy ...

As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving production reliability, cost efficiency, and platform growth through customer onboarding and legacy ...

Senior Data Engineer - Databricks

Denver, CO

$117K - $141K/yr

As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving production reliability, cost efficiency, and platform growth through customer onboarding and legacy ...

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 ...

Senior AI Platform Engineer

Englewood, CO · On-site

$116K - $158K/yr

EchoStar is seeking a Senior Databricks AI Enablement Engineer to lead the technical onboarding of users, teams, and data domains onto the enterprise Databricks platform. This role is responsible for ...

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Showing results 1-20

Databricks Engineer information

See Denver, CO salary details

$61.2K

$114.9K

$208.9K

How much do databricks engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for databricks engineer in Denver, CO is $114,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $136,400.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, and why are they important?

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 popular job titles related to Databricks Engineer jobs in Denver, CO? For Databricks Engineer jobs in Denver, CO, the most frequently searched job titles are:
What cities near Denver, CO are hiring for Databricks Engineer jobs? Cities near Denver, CO with the most Databricks Engineer job openings:

$130K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Azure DataBricks Engineer
Must Have Technical/Functional Skills
• Design, build, and orchestrate ETL/ELT pipelines using Azure Databricks.
• Implement batch data ingestion and transformations using PySpark and Spark SQL.
• Architect and maintain Lakehouse and analytical warehouse models (fact and dimension schemas) leveraging Delta Lake.
• Ensure data quality, reliability, lineage, and governance across the data platform.
• Collaborate with security and platform teams to enforce data access controls and best practices.
• Experience on CI/CD pipelines using Git for Databricks
Roles & Responsibilities
• Act as the onsite lead for Azure Databricks data engineering initiatives.
• Supervise and guide an offshore development team, assigning work, reviewing deliverables, and ensuring adherence to best practices.
• Perform code reviews, design reviews, and solution walkthroughs for offshore-developed components.
• Ensure alignment between offshore execution and onsite architecture, security, and business requirements.
• Proactively identify risks, gaps, and improvement opportunities across the data platform.
• Prior experience working in a hybrid onsiteoffshore delivery model
• 6-10 years of hands on experience in data engineering.
• Strong, proven expertise in Azure Databricks and Delta Lake.
• Advanced proficiency in SQL with a solid understanding of distributed data processing concepts.
• Demonstrated experience leading, mentoring, or supervising data engineering teams.
• Strong experience performing code reviews and solution design validations.
• knowledge of data security, and access management (RBAC).
• Preferred / Nice to Have Skills: Experience with Azure Synapse / Fabric, Azure Data Factory.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range- $130,000-$140,000 a year
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