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Internship Startup Data Engineer Jobs in Columbus, OH

This is a fully onsite internship designed for hands-on learning, close mentorship, and day-to-day ... real data engineering work-not busywork. You'll support Kimball Midwest's data modernization ...

Senior Data Engineer

Columbus, OH · On-site +1

$99K - $134.50K/yr

Senior Data Engineer Established in 2021, Independence Pet Holdings (IPH) is a corporate holding ... Experience designing data platforms at scale in a high-growth or startup environment. * Familiarity ...

Interns will gain hands-on experience with Microsoft Cloud, AI and Data technologies while ... Writing and optimizing SQL queries and basic programming scripts to support data analysis and ...

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

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Internship Startup Data Engineer information

See Columbus, OH salary details

$13

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How much do internship startup data engineer jobs pay per hour?

As of May 27, 2026, the average hourly pay for internship startup data engineer in Columbus, OH is $24.55, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $27.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Startup Data Engineer, and why are they important?

To excel as an Internship Startup Data Engineer, you typically need a background in computer science, statistics, or a related field, along with foundational knowledge in data structures and algorithms. Familiarity with programming languages like Python or SQL, experience with data processing frameworks (such as Pandas or Spark), and version control tools like Git are commonly required. Strong problem-solving abilities, adaptability, and effective communication skills will help you stand out in a dynamic startup environment. These skills are essential for efficiently managing and analyzing data to support rapid product development and informed decision-making in a fast-paced setting.

What types of projects and responsibilities can I expect as an Internship Startup Data Engineer?

As an Internship Startup Data Engineer, you'll typically work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and assisting with setting up databases or cloud data solutions. You may collaborate closely with software engineers, data scientists, and product managers to support analytics initiatives or improve data infrastructure. Startups often provide interns with opportunities to take ownership of smaller projects and contribute directly to core products, offering valuable exposure to the full lifecycle of data engineering tasks. Expect a fast-paced environment where adaptability and proactive learning are highly valued.

What does an Internship Startup Data Engineer do?

An Internship Startup Data Engineer assists in building and maintaining data pipelines and architectures that help startups collect, process, and analyze data. They often work closely with engineers and data scientists to ensure data is accessible and reliable for business needs. Responsibilities may include cleaning and transforming raw data, working with databases, and helping implement data solutions in cloud environments. Interns are expected to learn quickly, adapt to fast-paced changes, and contribute to projects that impact the startup’s growth.

What is the difference between Internship Startup Data Engineer vs Junior Data Analyst?

AspectInternship Startup Data EngineerJunior Data Analyst
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentStartup, fast-paced, hands-on projectsCorporate or startup, data reporting and analysis
Employer & Industry UsageTech startups, data-driven companiesVarious industries, marketing, finance, retail
Search & Comparison IntentLearning, entry-level experience, internship opportunitiesData analysis skills, entry-level roles

Internship Startup Data Engineers focus on building data pipelines and managing data infrastructure, often requiring basic programming and SQL skills. Junior Data Analysts primarily analyze data, generate reports, and interpret results. Both roles are entry-level but differ in technical focus and daily tasks, with internships offering hands-on experience in startup environments and analyst roles emphasizing data interpretation.

What are the most commonly searched types of Startup Data Engineer jobs in Columbus, OH? The most popular types of Startup Data Engineer jobs in Columbus, OH are:
Infographic showing various Internship Startup Data Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 42% Full Time, 19% Part Time, 36% Contract, and 3% Nights. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $51,064 per year, or $24.6 per hour.
Data Engineer/Data Science Summer Internship

Data Engineer/Data Science Summer Internship

Park National Bank

Newark, OH • Hybrid

$105.20K - $126.40K/yr

Other

This job post has expired today. Applications are no longer accepted.


Park National Bank rating

6.9

Company rating: 6.9 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

111th of 141 rated banks


Job description

Data Engineer/Data Science Summer Internship

Job Category: Information Services Requisition Number: DATAE006776

Posted: May 13, 2026

Full-Time

Hybrid

Newark, OH 43055, USA

Description

Flexible Work Arrangement: 1 day a week on-site in Newark, Ohio & 4 days remote. Must have transportation to our headquarters in Newark, Ohio to be considered for the role.

Responsibilities
  • Builds and maintains data semantic models to support analytics and business intelligence use cases.
  • Designs, develops, and manages data pipelines using DBT to ensure reliable data transformation and delivery.
  • Collaborates with data scientists, Data Engineers, and business stakeholders to translate business requirements into technical solutions.
  • Builds and maintains strong cross-functional relationships to support strategic data and technology initiatives.
  • Provides support for developing and optimizing scripts and data workflows integrated into banking applications.
  • Demonstrates proficiency in SQL/Python and experience with enterprise reporting tools such as Tableau or Power BI for data validation and insights.
  • Transforms and prepares raw data into structured formats suitable for analysis and building AI Agents.
  • Ability to pick up NLP based coding in Snowflake and DBT.

Education - Certifications - Work Experience

  • High School Diploma or equivalent required
  • 2yr associate degree in IT, Computer Programming, Computer Science or other related discipline required
  • Project or professional experience with basic programming relative to scripting language in reporting software, experience with SQL required.
  • Python language scripting skills required.

Schedule

Typical office hours are M-F 8a-5p. This position is non-exempt and full time (40 hours per week.)

This position must be able to remain in a stationary position a minimum of 75% of the time, constantly operate a computer, and be able to be in constant communication with coworkers and stakeholders to discuss and exchange accurate information.

Qualifications Required

High School or better.

Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.


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