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Databricks Engineer Jobs in Denver, CO (NOW HIRING)

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

The Data & AI Governance engineer bridges the gap between high-level data governance policies and ... Understanding of managing governance features in Databricks & Snowflake for cataloging, fine ...

The Data & AI Governance engineer bridges the gap between high-level data governance policies and ... Understanding of managing governance features in Databricks & Snowflake for cataloging, fine ...

Data Engineer I-II

Brighton, CO · Hybrid

$124K - $149K/yr

Azure Databricks sits at the center of this work, serving as the primary platform for storing, transforming, and delivering data across the organization. Reporting to the Data Engineering Manager ...

Data Engineer I-II

Brighton, CO · On-site

$97K - $127K/yr

Azure Databricks sits at the center of this work, serving as the primary platform for storing, transforming, and delivering data across the organization. Reporting to the Data Engineering Manager ...

Forward Deployed Data Engineer

Golden, CO

$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 ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Databricks, Omni, Amplitude, Hightouch, Datadog Compensation Starting around $130K OTE, adjusted ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Databricks, Omni, Amplitude, Hightouch, Datadog Compensation Starting around $130K OTE, adjusted ...

Principal Data Engineer

Denver, CO · On-site

$210K - $290K/yr

The ideal candidate is a strong hands-on engineer with deep experience in Python, SQL, and modern cloud data platforms such as Snowflake, Databricks or Redshift. This role will embrace the use of AI ...

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 ...

Senior Data & AI Platform Engineer

Denver, CO · On-site

$69.25 - $92.75/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data ... Serve as the technical authority across a core platform (Fabric, Snowflake, or Databricks) plus a ...

Showing results 41-60

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 Sep 2, 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 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 job categories do people searching Databricks Engineer jobs in Denver, CO look for?

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

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

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

Infographic showing various Databricks Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $114,900 per year, or $55.2 per hour.

Senior Software Engineer

Publicis Groupe Holdings B.V

Westminster, CO • On-site

$123K - $162K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 52 rated marketing agency


Job description

Company Description
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
Overview
For this role, we are seeking a qualified Senior Software Engineer to join Epsilon's Development Team in our Data Practice. In this role with our company, you will be focused on project tasks for Epsilon's TotalSource Plus (TSP) demographic and lifestyle products.
As a member of the Epsilon Data Team, you will work in a group that is not only focused on their project work but also their efficiency, compliance, standards, situational awareness, and readiness. You'll be a critical part of a fast-moving, innovative team where you'll work independently in some situations as well as working with a greater team in tasks that require full collaboration.
Responsibilities
What you'll do:
• Design, develop, and maintain scalable data processing solutions across on-premises and cloud environments using Python and Apache Spark on Databricks.
• Optimize and fine-tune Spark jobs for performance, including resource utilization, shuffling, partitioning, and caching, to ensure maximum efficiency in large-scale big data environments.
• Design and implement scalable, fault-tolerant data pipelines with end-to-end monitoring, alerting, and logging.
• Leverage AWS cloud services (2+ years preferred) to build and manage data pipelines and distributed processing workloads.
• Develop and optimize SQL queries across relational and data warehouse systems (RDBMS/Data Warehouse).
• Apply design patterns and best practices for efficient data modeling, partitioning, and distributed system performance.
• Use Git (or equivalent) for source control and maintain strong unit and integration testing practices.
• Collaborate with Product Owners, partners, and cross-functional teams to translate business requirements into technical solutions.
• Demonstrate strong analytical skills with the ability to extract actionable insights from large datasets and support data-driven decision-making.
• Mentor junior engineers, conduct code reviews, and contribute to establishing engineering best practices and standards.
Qualifications
About you:
• 5+ years of software development experience in a scalable, distributed, or multi-node environment.
• Proficient in programming with Scala, Python, or Java; comfortable building data-driven solutions at scale, with Databricks preferred.
• Significant experience with Apache Spark and exposure to Hadoop, Hive, and related big data technologies.
• Demonstrated experience with cloud platforms (AWS, preferred) and an interest in cloud migration projects.
• Exposure to modern data tools and frameworks such as Kubernetes, Docker, and MWAA/Airflow.
• Strong problem-solving skills with the ability to own problems end-to-end and deliver results.
• Consultative mindset - comfortable taking initiative, building relationships, communicating broadly, and tackling challenges head-on.
• Collaborative team player with an eagerness to learn from peers and mentors while contributing to a culture of growth.
• Motivated to grow your career within a dynamic, innovative company.
What you'll bring:
• BA/BS in Computer Science or related discipline.
• At least 5 years of experience as a big data software developer.
• Experience in Machine Learning, including model development, feature engineering, or integrating ML workflows into data pipelines.
• Experience with Databricks, including Notebooks, Delta Lake, Jobs, Pipelines, and Unity Catalog, preferred.
• AWS, Databricks, or Spark certification a plus.
Additional Information
When You Join Us, We'll Create Something EPIC Together
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.
  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.
Because You Matter
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Epsilon benefits are subject to eligibility requirements and other terms.
Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.
For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.
#LI-AM1
Compensation Range: USD $88,900.00 - USD $165,100.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/30/2026.

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