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Databricks Internships Jobs in Colorado (NOW HIRING)

Kharon

Data Engineer

Denver, CO

$120K - $160K/yr

... Databricks. * Create data pipelines, infrastructure, and overall workflow orchestration to pull ... QUALIFICATIONS: * 3+ years of experience, not including internships as a software engineer or a ...

Kharon

Senior Data Engineer

Denver, CO

$160K - $200K/yr

... Databricks. * Create data pipelines, infrastructure, and overall workflow orchestration to pull ... QUALIFICATIONS: * 3+ years of experience, not including internships as a software engineer or a ...

Spire

Software Engineer - RFGL Systems

Boulder, CO · Hybrid

$179K - $212K/yr

... academic + internship/project work for strong early-career candidates) * Demonstrated hands-on ... Background with big data systems, pipelines, or tools (e.g., Spark, Kafka, Databricks, S3-based ...

Spire

Software Engineer - RFGL Systems

Boulder, CO · Hybrid

$90K - $130K/yr

... academic + internship/project work for strong early-career candidates) * Demonstrated hands-on ... Background with big data systems, pipelines, or tools (e.g., Spark, Kafka, Databricks, S3-based ...

Spire

Software Engineer - RFGL Systems

Boulder, CO · Hybrid

$90K - $130K/yr

... academic + internship/project work for strong early-career candidates) * Demonstrated hands-on ... Background with big data systems, pipelines, or tools (e.g., Spark, Kafka, Databricks, S3-based ...

Spire

Software Engineer - RFGL Systems

Boulder, CO · On-site

$90K - $130K/yr

... academic + internship/project work for strong early-career candidates) * Demonstrated hands-on ... Background with big data systems, pipelines, or tools (e.g., Spark, Kafka, Databricks, S3-based ...

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Databricks Internships information

What is the difference between Databricks Internships vs Data Engineer Internships?

AspectDatabricks InternshipsData Engineer Internships
Required SkillsKnowledge of Spark, cloud platforms, programming (Python, Scala)Data pipeline development, SQL, cloud services, programming (Python, Java)
Work EnvironmentCollaborative, tech-focused, cloud-based platformsData processing, database management, cloud infrastructure
Industry UsageTech companies using Databricks platformOrganizations managing large-scale data systems

Databricks Internships typically focus on working with the Databricks platform, Spark, and cloud-based data solutions. Data Engineer Internships involve building and maintaining data pipelines, working with databases, and cloud infrastructure. Both roles require programming skills and familiarity with cloud services, but Databricks Internships are more platform-specific, while Data Engineer Internships cover broader data engineering tasks.

What are the key skills and qualifications needed to thrive as a Databricks Intern, and why are they important?

To thrive as a Databricks Intern, you should have a solid background in computer science, programming (especially Python, Scala, or SQL), and data analytics, often supported by relevant coursework or project experience. Familiarity with big data platforms like Apache Spark, cloud services (AWS, Azure), and version control systems such as Git is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and grow within diverse technical teams. These skills and qualities are crucial for contributing to real-world data projects and maximizing the learning experience during the internship.

What types of projects and responsibilities can Databricks interns expect to work on during their internship?

Databricks interns typically work on impactful, real-world projects alongside full-time engineers or data scientists. You may contribute to product features, optimize data pipelines, or help improve machine learning models, depending on your team placement. Interns are encouraged to collaborate cross-functionally, participate in code reviews, and attend team meetings, gaining exposure to agile development practices and cloud technologies. This hands-on experience fosters strong technical growth and provides valuable insight into fast-paced, collaborative tech environments.

What are Databricks internships?

Databricks internships are structured programs that offer students and recent graduates the opportunity to gain hands-on experience working with data engineering, machine learning, and cloud technologies at Databricks. Interns typically work on real-world projects alongside experienced engineers, data scientists, and business professionals. These internships provide mentorship, training, and networking opportunities, and are a valuable way to learn about the tech industry and Databricks’ culture. They are available in a variety of roles, including software engineering, product management, and data science.
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What cities in Colorado are hiring for Databricks Internships jobs? Cities in Colorado with the most Databricks Internships job openings:
Databricks Internships jobs near you
Infographic showing various Databricks Internships job openings in Colorado as of June 2026, with employment types broken down into 4% Internship, 1% As Needed, 73% Full Time, 17% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Entry-Level Machine Learning Engineer

Entry-Level Machine Learning Engineer

SynergisticIT

Denver, CO

Other

Posted yesterday

Job description

Junior Machine Learning Engineer

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure.

Role Description

Junior Machine Learning Engineer will be responsible for assisting in the creation, deployment, and monitoring of scalable ML models in production. Duties include data preprocessing, feature engineering, versioning ML models, and integrating machine learning components with live products. You will actively collaborate on project teams utilizing AWS Glue, Databricks, PySpark, TensorFlow, and Azure Data Lake, and contribute to code reviews and documentation tasks.

Required Skills

The role expects demonstrable familiarity with Python, cloud-based ML pipelines, and at least one framework among PyTorch, TensorFlow, or scikit-learn. Industry tools like Databricks for big data processing and Azure Data Lake for managing unstructured datasets are highly valued. Ability to work with code repositories (Git), conduct error analysis, and communicate findings in a business-friendly manner are required. U.S. companies demand project-based evidence of your skills—real internship or portfolio work utilizing modern ML stacks makes you stand out.

Eligibility

Open to all those authorized to work in the U.S., including OPT and CPT visa holders.

Skills Development Path

If you're missing pieces of the ML and cloud deployment stack, the SynergisticIT Job Placement Program offers direct instruction and real project exposure in the precise technologies companies hire for. Supplement your journey with YouTube event recordings, industry blogs, sample interview questions, and the USA Today article. Java Job placement Program Data Science Job Placement Program for getting Hired

SynergisticIT Client Network

SynergisticIT's connections to giants like Facebook, Google, Uber, Amazon, Apple, Twitter, JPMorgan, Walmart Labs, SAP, TCS, and Capgemini ensure broad exposure to high-impact ML roles. Participants secure salaries of $95K–$150K after placement. Master both ML concepts and their real-world cloud deployment by leveraging SynergisticIT's industry-proven curriculum and client relationships, opening doors to the most in-demand U.S. ML engineering jobs.

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