ZipRecruiter

Log In

1

Databricks Data Engineer Jobs in Denver, CO (NOW HIRING)

Databricks

Sr. Solutions Architect

Denver, CO · On-site

... the Databricks Data Intelligence Platform. * Contribute to Databricks' technical community ... Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and ...

Checkr

Staff Data Engineer

Denver, CO

As a Staff Data Engineer on the People Data team, you'll help build and evolve the centralized ... Experience or knowledge of data processing platforms such as Databricks or Snowflake. * An A-player ...

Epsilon

Senior Big Data Engineer

Westminster, CO

$56.25 - $74.50/hr

Mentor junior engineers, conduct code reviews, and contribute to establishing engineering best ... Eager to deepen your expertise with the Databricks platform. * Exposure to modern data tools and ...

Absolute Business Solutions Corp.

Data Engineer

Aurora, CO · On-site

$150K - $185K/yr

We are actively hiring a TS/SCI-cleared Data Engineer to work closely with our sister company ... Using notebook-based tools such as Jupyter and Databricks * Knowledge of Scala, SQL and R Salary is ...

Capital Rx

Data Engineer II

Denver, CO · On-site

$108K - $136K/yr

Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ... Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred) * CI/CD for data ...

Kharon

Senior Data Engineer

Denver, CO · On-site

$160K - $200K/yr

Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. * Container ... Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To ...

Deloitte

Azure/Databricks Infrastructure Engineer

Denver, CO · On-site

$57.50 - $76.75/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or ...

Releady

Data Engineer, Senior

Denver, CO · On-site

$82.66 - $96.43/hr

The Data Engineer, Senior is a hands‑on technical leader who ensures production readiness and ... Hands‑on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or ...

Capital Rx

Data Engineer II

Denver, CO · On-site

$108K - $136K/yr

Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ... Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred) * CI/CD for data ...

Colorado Rockies

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

The Senior Data Engineer will design, build, maintain, and optimize the pipelines, data models ... Databricks, Snowflake, or equivalent). * Experience developing distributed data workloads with ...

previous page

Showing results 41-60

All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Denver, CO

Databricks Data Engineer information

See Denver, CO salary details

$45.8K

$133.5K

$182.7K

How much do databricks data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for databricks data engineer in Denver, CO is $133,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Denver, CO?

The most popular types of Databricks Data Engineer jobs in Denver, CO are:

What are popular job titles related to Databricks Data Engineer jobs in Denver, CO?

For Databricks Data Engineer jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in Denver, CO look for?

The top searched job categories for Databricks Data Engineer jobs in Denver, CO are:

What cities near Denver, CO are hiring for Databricks Data Engineer jobs?

Cities near Denver, CO with the most Databricks Data Engineer job openings:

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $133,514 per year, or $64.2 per hour.

Sr. Solutions Architect

Databricks

Denver, CO • On-site

Full-time

Posted 22 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.

Apply