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Databricks Internship Jobs in Ohio (NOW HIRING)

Brooksource

Junior Data Architect

Columbus, OH · On-site

$28/hr

... internships) required * Experience with SQL * Basic understanding of data concepts (data analysis, data engineering, or data modeling) * Exposure to cloud platforms or data tools like Databricks ...

Guidehouse

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Familiarity with AWS ...

Guidehouse

Data Engineer

Beavercreek, OH · On-site

$53K - $88K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Exposure to Databricks, Spark, or large-scale data processing ...

Infoverity

Summer Intern (summer 2027)

Dublin, OH · On-site

$14.50 - $17.50/hr

Informatica, Databricks, Snowflake, Treasure Data, Product 360, and more * Produce and end-of-internship presentation for the executive leadership of Infoverity highlighting your experience and value ...

Jack Entertainment

Data Platform Engineer

Cleveland, OH · On-site

$23.61 - $70.82/hr

Equivalent hands-on experience through internships, substantial projects, certifications, or other ... Data platforms such as Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, or Synapse.

Hexion, Inc.

AI Applications Developer

OH · On-site +1

... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... Solid SQL skills and working familiarity with a modern data platform (Databricks, Snowflake, or ...

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Databricks Internship information

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.

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 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 to get a job at Databricks?

To get a Databricks internship, candidates should have a strong background in data engineering, software development, or related fields, along with proficiency in tools like Apache Spark and cloud platforms. Applying through the company's careers page, preparing for technical interviews, and demonstrating relevant skills and projects can improve chances of selection.

What are the most commonly searched types of Databricks jobs in Ohio?

The most popular types of Databricks jobs in Ohio are:

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For Databricks Internship jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Databricks Internship jobs in Ohio look for?

The top searched job categories for Databricks Internship jobs in Ohio are:

What cities in Ohio are hiring for Databricks Internship jobs?

Cities in Ohio with the most Databricks Internship job openings:

Databricks Internship jobs near you
Infographic showing various Databricks Internship job openings in Ohio as of August 2026, with employment types broken down into 6% Internship, 65% Full Time, 25% Part Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Summer 2027 Feature Engineer Internship

Columbus, OH • On-site

Veterinary Pet Insurance
Insurance Services • 201 - 500 employees
Learn more about Veterinary Pet Insuranceexternal

$23 - $50/hr

Full-time

Posted 4 days ago

Job description

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care.

Job Description Summary

Job Description

Nationwide Insurance is seeking candidates for Feature Engineer Intern positions to join the Enterprise Analytics Office (EAO) from May to August 2027 in Columbus, Ohio.

The Feature Engineer team works with Data Scientists to transform AI/ML models into integrated solutions contributing to company success. In this role, you will collaborate closely with data scientists to design, build, and maintain robust data pipelines that support machine learning models and advanced analytics. Your role will be to transform raw data into reliable, well-documented datasets optimized for analysis and modeling.

Candidates should be pursuing a graduate degree in any of the following areas: Computer Science, Computer Information Systems, Computer Engineering, Software Engineering, Web Development, Information Technology, or related fields.

Required Experience: Candidates should demonstrate hands on experience with the following expectations:

  • Knowledge of common Linux/Unix commands and functions

  • Accomplished self-learner, demonstrating an awareness of technology trends and ability to learn and teach.

  • Analyzes and resolves moderately complex issues related to application support and logging

  • Implement solutions with complex business requirements and systems integrations

  • Collaborate with cross-functional teams to understand data requirements and deliver high-quality datasets

  • Prepares detailed specifications, requirements, scope documents, and logic flowcharts for the development and implementation of the most complex application programs and modifications

  • Application testing to ensure that the provided solution is executable, testable, complete and not ambiguous while meeting all end-user requirements

  • Understanding of data governance principles and best practices

  • Experience with or interest in ETL/ELT development and data pipeline architecture

  • Proficiency in SQL and either Python or R

  • Familiarity with statistical and machine learning concepts

  • Understanding of data governance principles and best practices

Additional Experience:

  • Hands-on experience with cloud data platforms such as AWS, Databricks, or Snowflake

  • Exposure to DataOps or MLOps methodologies and tools

  • Generative AI design and implementation

  • Version Control (GitHub)

  • Test Automation Technologies (PyTest, jUnit, etc.)

  • API Technology (Apigee, OAS "Swagger", REST/JSON, Splunk, Javascript)

Nationwide does not participate in the Stem OPT Extension program. At its sole discretion, Nationwide determines whether to offer sponsorship for qualifying positions based on business need and budget. However, it is not usually available for entry level roles.


Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment.The national hourly pay range for Nationwide Internships is: $23 - $50

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