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

AI Data Engineer II

Denver, CO · On-site

$100K - $136K/yr

Expertise in Databricks, Spark, and Delta Lake orchestration to manage large-scale, high-velocity data environments * A strong foundation in DevOps methodologies, specifically regarding ...

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer ... Extensive experience with modern data platforms including Snowflake and Databricks, and ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems * Cross-team Collaboration:

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 ...

Principal Data Engineer

Boulder, CO · On-site

$140K - $187K/yr

Python, Pyspark, Kafka, Databricks, AWS What you'll be doing: Data Platform & Architecture * Own ... Establish and champion AI engineering practices across the team, from prompt engineering and RAG ...

Sr. Data Engineer-ETL Location: Denver, CO Duration: 12 Months + Extension Bill Rate: $71/hour Job ... Bonus - Experience in tools like Databricks, Snowflake and Thoughtspot * Equal Opportunity Employer:

New

Principal Data Engineer

Boulder, CO

$140K - $187K/yr

Python, Pyspark, Kafka, Databricks, AWS What you'll be doing: Data Platform & Architecture * Own ... Establish and champion AI engineering practices across the team, from prompt engineering and RAG ...

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 ...

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 ...

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 ...

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 ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Senior Data Engineer

Denver, CO

$109K - $148K/yr

As a Senior Data Engineer, you'll lead the execution of core services and data pipelines ... Nice to have: experience with data processing platforms such as Databricks or Snowflake #LI-TD1

Principal Data Architect

Lakewood, CO · On-site

$90 - $100/hr

Partner with Data Engineering, Data Science, and Product teams to architect solutions that support ... Proficiency in modern data tools and technologies (Azure Synapse, Data Factory, Databricks, Data ...

Showing results 41-60

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 Aug 8, 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.

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:
Infographic showing various Databricks Data Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,514 per year, or $64.2 per hour.

AI Data Engineer II

EchoStar

Denver, CO • On-site

$100K - $136K/yr

Full-time

Medical, Retirement

Posted 22 days ago


EchoStar rating

7.2

Company rating: 7.2 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

61st of 97 rated telecommunications companies


Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

You will address the challenge of transforming complex, fragmented data requirements into scalable, production-ready AI infrastructure using advanced Databricks and Spark architectures. By implementing rigorous software engineering disciplines and automated CI/CD workflows, you will eliminate bottlenecks in data delivery and ensure the reliability of mission-critical pipelines. Your role is pivotal in harmonizing cross-functional goals with high-quality code standards to drive the next generation of our data platform's evolution.

What Success Looks Like (Objectives)

  • Deliver scalable, high-performance data pipelines using Databricks and Spark that meet rigorous departmental OKRs for performance and cost-efficiency

  • Build fully automated CI/CD workflows within Gitlab to reduce deployment friction and ensure 100% version-controlled data infrastructure

  • Apply SOLID engineering principles and modular design to create a reusable testing framework that guarantees data pipeline stability and quality

  • Foster a culture of excellence by leading technical code reviews and mentoring peers to elevate the team's overall software engineering maturity

  • Integrate AI-driven automation tools to proactively monitor pipeline health and optimize resource allocation across the AWS ecosystem

  • Facilitate seamless collaboration between Data Science and Product teams to transform experimental models into fault-tolerant production solutions

Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring)

  • Advanced proficiency in Python and SQL alongside a deep understanding of distributed systems architecture and modern data patterns

  • Expertise in Databricks, Spark, and Delta Lake orchestration to manage large-scale, high-velocity data environments

  • A strong foundation in DevOps methodologies, specifically regarding infrastructure-as-code and containerization using Docker or Kubernetes

  • AI Application literacy, with the ability to leverage machine learning libraries and NLP frameworks to enhance data processing capabilities

  • Proven capability in applying design patterns and testing frameworks to ensure the integrity of complex software ecosystems

  • Critical experience in building and managing highly available, fault-tolerant systems within an enterprise AWS environment

  • Background in handling sensitive data and maintaining strict security protocols

Minimum Requirements

  • Minimum Education: Bachelor’s Degree in Computer Science, Electrical Engineering, or a related field

  • Minimum Experience: 3+ years of experience in data engineering

  • Required Technical Skills: Must have at least 3+ years of experience with:

    • Python and SQL

    • AI Platforms - Databricks and Spark (including Delta Lake)

    • CI/CD pipelines and Gitlab workflows

Visa sponsorship not available for this role

Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)


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