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Databricks Internship Jobs (NOW HIRING)

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Hays Electrical Services

Data Analyst I

Houston, TX · On-site

Connect to and query data sources including Databricks, and other enterprise systems * Handle ... role (internships and co-ops count) * Proficient in Power BI, able to connect to data sources ...

Texas Farm Bureau Insurance

Data Engineer I

Waco, TX · On-site

$101K - $122K/yr

... Factory and Databricks. MAJOR RESPONSIBILITIES AND AUTHORITY Assist in the development and ... Internship or project experience in data engineering, analytics, or cloud development. Exposure to ...

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Experience with cloud computing, ideally AWS and Databricks * Experience with numerical Python ...

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Experience with cloud computing, ideally AWS and Databricks * Experience with numerical Python ...

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Databricks Internship information

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How much do databricks internship jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for databricks internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is the highest paying summer internship?

The highest paying summer internships are typically in finance, technology, and consulting industries, with some offering compensation exceeding $10,000 for the season. For roles like a Databricks internship, pay varies based on location, experience, and skill level, but competitive internships often include stipends or hourly wages aligned with industry standards.

Does Databricks hire interns?

Yes, Databricks offers internship programs for students and recent graduates interested in data engineering, software development, and related fields. Internships typically involve working on real projects using tools like Apache Spark and require a strong technical background and relevant coursework. These programs are usually available during summer and sometimes throughout the year, providing valuable industry experience.

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 typically need a solid foundation in computer science, data engineering, or a related field, along with strong programming skills in languages like Python, SQL, or Scala. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Apache Spark), and data analytics tools is commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help interns excel in dynamic, team-oriented environments. Mastering these skills enables effective contribution to real-world data projects, supporting innovation and business impact at Databricks.

How much do Databricks interns get paid?

Databricks interns typically receive a stipend or hourly pay that varies depending on location, experience, and the specific internship program. Intern salaries for tech companies generally range from $20 to $40 per hour, with some programs offering additional benefits or stipends for housing and transportation.

Is Databricks a high paying job?

A Databricks internship typically offers competitive compensation compared to other tech internships, with pay varying based on location, experience, and skills. Interns working with cloud platforms, data engineering, or machine learning tools may also receive additional benefits or stipends. Overall, it is considered a well-paying internship opportunity within the tech industry.

What types of projects do Databricks interns typically work on, and how are they integrated into existing teams?

Databricks interns are usually assigned to real-world projects that align with the company's current priorities, such as developing new data analytics features, optimizing cloud infrastructure, or contributing to open-source initiatives like Apache Spark. Interns are integrated into agile engineering or data science teams, where they participate in daily stand-ups, code reviews, and collaborative problem-solving sessions. This structure ensures that interns gain hands-on experience, receive mentorship from experienced professionals, and have opportunities to present their work, making the internship both impactful and a strong learning experience.

What is a Databricks internship?

A Databricks internship is a temporary position offered to students or recent graduates to gain hands-on experience working with Databricks, a company specializing in data analytics and artificial intelligence. Interns typically work on real-world projects involving big data, cloud computing, and collaborative analytics using the Databricks Unified Analytics Platform. The internship provides opportunities to learn from industry experts, develop technical skills, and contribute to innovative solutions. Interns also gain exposure to Databricks' company culture and may have the opportunity to transition to a full-time role after completion.
More about Databricks Internship jobs
What cities are hiring for Databricks Internship jobs? Cities with the most Databricks Internship job openings:
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What job categories do people searching Databricks Internship jobs look for? The top searched job categories for Databricks Internship jobs are:
Databricks Internship jobs near you
Infographic showing various Databricks Internship job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Modeling and Visualization Engineer Co-Op

Modeling and Visualization Engineer Co-Op

Campbell Soup Company

Hanover, PA • On-site

Full-time

Posted 11 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
BI Modeling and Visualization Engineer (mostly Power BI)
We are seeking a motivated and detail-oriented Modeling and Visualization Engineer to join our team. This co-op / internship offers hands-on experience reporting from a very involved data warehouse during a transition from Snowflake to Databricks. You will have the opportunity to learn and work with cutting-edge technologies within our modern Databricks environment. If you are passionate about the future of BI reporting and eager to build "actionable metrics" in reporting, we want to hear from you!
Key Responsibilities
  • Model Performance and Tuning: Determine where DirectQuery or Import mode is best in each table ingestion in Power Query. Be able to view and improve SQL generated for Databricks to run using Power Query steps in Power BI Desktop.
  • Collaborate with Agile Teams: Work with cross-functional teams to build out new enterprise reporting (from Databricks) that aligns with trusted existing reporting (from Snowflake) and participate in Agile ceremonies.
  • Explore External Tools: Research and test new or more efficient options the improve thru put of reporting development and valication.
  • Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.

Learning & Development Opportunities
  • Hands-on training in Power BI, Databricks and Snowflaketechnologies.
  • Mentorship from senior Data Engineers and IT Business Analysts working on enterprise-scale deployments.
  • Practical experience building on Cloud/SaaS reporting infrastructure (e.g. Power BI Service, Azure, Databricks, Snowflake).
  • Platform Support & Administration:
    Assist in day-to-day administration of analytics and AI platforms such as Databricks, Snowflake, Power BI Service, and other SaaS solutions.
  • Monitoring & Troubleshooting:
    Learn how to monitor platform health, data refreshes, workloads, and integrations; help investigate and troubleshoot failures or performance issues.
  • Incident & Problem Resolution:
    Support issue resolution by partnering with senior engineers to perform basic root-cause analysis and document fixes and learnings.
  • Access & User Management:
    Help manage users, roles, permissions, and access requests while following security and governance standards.
  • Cloud & SaaS Exposure:
    Gain practical exposure to cloud architecture concepts (primarily Microsoft Azure) and understand how SaaS platforms integrate with cloud services.
  • Documentation & Runbooks:
    Assist in creating and maintaining support documentation, operational guides, and standard operating procedures.
  • Collaboration & Learning:
    Work closely with BI, AI, and Platform teams in an Agile environment and participate in team meetings and knowledge-sharing sessions.

What You Will Learn
  • Fundamentals of cloud and SaaS platform administration
  • How enterprise analytics platforms are operated and supported
  • Troubleshooting and problem-solving techniques for real-world production systems
  • Basic monitoring, access management, and platform governance concepts
  • How analytics, BI, and AI workloads run on modern cloud platforms

Qualifications
  • Current graduate student in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Foundational programming skills in writing moderately complex SQL.
  • Familiarity with AI concepts through coursework or personal projects.
  • Excellent problem-solving skills and a high degree of technical curiosity.
  • Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.

Requirements vs. Optional:
  • Need: Power BI experience in creating Semantic Models that reference a data warehouse and then validating those to the source or spot checking against existing report (Power BI and MicroStrategy / Strategy are widely used).
  • Need: Ability to write and understand SQL.
  • Optional: Ability to use Excel for validating results from reporting.
  • Optional: Any advanced methods that use AI Agentic... options for transitioning logic in Power BI Semantic Models from one database (e.g. Snowflake) to another (Databricks)
  • Currently pursuing an undergraduate or graduate degree in Computer Science, Information Systems, IT, Engineering, or a related field.
  • Strong interest in cloud technologies, SaaS platforms, and system operations.
  • Willingness to learn, troubleshoot issues, and dig into how platforms work.
  • Analytical mindset with good problem-solving skills.
  • Strong communication skills and ability to document learnings clearly.
  • Self-motivated, curious, and comfortable working in a team-based environment.

Helpful / Preferred Experience
  • Coursework or hands-on exposure to Microsoft Azure.
  • Azure Fundamentals (AZ-900) course completion or certification is helpful (not required).
  • Familiarity with cloud computing concepts (compute, storage, networking, identity).
  • Basic knowledge of SQL, scripting, or data concepts.
  • Exposure to analytics or BI tools (Power BI, Tableau, Databricks, Snowflake) is a plus but not required.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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