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Databricks Internships Jobs (NOW HIRING)

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 ...

Proctor & Gamble

$15.50 - $20.25/hr

Azure Databricks * SQL * KNIME * Python * CoPilot Studio Job Schedule Full time Job Number R000150840 Job Segmentation Internships Starting Pay / Salary Range 2,500.00 - 2,500.00 / month

Proctor & Gamble

Data Engineer Intern

Panama, OK · On-site

Join us now and be part of the P&G Latin America Internship program. As a Data Engineering Intern ... Design and implement ETL processes using Databricks. * Perform testing and validation of ETL jobs ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role ...

Armaninollp

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or ...

Armaninollp

Data & AI Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or ...

Armaninollp

Data & AI Platform Engineer

El Segundo, CA · On-site

$122K - $146K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or ...

Armaninollp

Data & AI Platform Engineer

San Ramon, CA · On-site

$128K - $153K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or ...

Armaninollp

Data & AI Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or ...

Armaninollp

Data & AI Platform Engineer

New York, NY · On-site

$125K - $150K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or ...

Armaninollp

Data & AI Platform Engineer

Boise, ID · On-site

$109K - $130K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or ...

Armaninollp

Data & AI Platform Engineer

Denver, CO · On-site

$117K - $141K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or ...

Armaninollp

Data & AI Platform Engineer

Boca Raton, FL · On-site

$108K - $130K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or ...

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Databricks Internships information

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How much do databricks internships jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for databricks internships in the United States is $48.74, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $57.69 per hour, depending on experience, location, and employer.

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 are hiring for Databricks Internships jobs? Cities with the most Databricks Internships job openings:
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Databricks Internships jobs near you
Infographic showing various Databricks Internships job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $101,369 per year, or $48.7 per hour.
Quantitative Developer Intern

Quantitative Developer Intern

Point72

New York, NY • On-site

$21 - $27.50/hr

Other

Posted 2 days ago

Job description

Job Description

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative developer interns for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.

You will gain exposure to a variety of activities, which may include:

  • Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies
  • Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases
  • Improving research and trading tools and infrastructure
Desirable Candidates
  • Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline
  • Strong programming experience in Python with production-level coding quality
  • Experience with Unix environment and shell scripting
  • Experience with cloud computing, ideally AWS and Databricks
  • Experience with numerical Python libraries (e.g. Numpy, Pandas, PyTorch, etc.)
  • Knowledge of version control (Git) and software CI/CD tools and lifecycle
  • Knowledge of profiling (e.g. cProfile, SnakeViz, memory-profiler, etc.) and code optimization is a plus
  • Knowledge of statistics and machine learning is a plus
  • Willing to take ownership of his/her work, working both independently and within a small team
  • Prior experience in the financial services industry is not required
  • Commitment to the highest ethical standards

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.

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