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Internship Code Review Jobs in Ohio (NOW HIRING)

Data Platform Engineer

Cleveland, OH · On-site

$23.61 - $70.82/hr

Write readable, maintainable code using source control, code review, automated testing, and ... Equivalent hands-on experience through internships, substantial projects, certifications, or other ...

Write readable, maintainable code using source control, code review, automated testing, and ... Equivalent hands-on experience through internships, substantial projects, certifications, or other ...

DS interns will have a designated data scientist mentor and will spend the majority of their time ... code reviews Business Value and Processes Contributing to team development processes and agile ...

DS interns will have a designated data scientist mentor and will spend the majority of their time ... code reviews Business Value and Processes Contributing to team development processes and agile ...

$40/hr

You will work in an agile development methodology to conduct code reviews and unit tests ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

You will work in an agile development methodology to conduct code reviews and unit tests ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

You will work in an agile development methodology to conduct code reviews and unit tests ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

You will work in an agile development methodology to conduct code reviews and unit tests ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Showing results 21-40

Internship Code Review information

What is an internship code review?

An Internship Code Review is a process where the code written by interns is systematically examined by more experienced developers or mentors. The goal is to ensure code quality, provide constructive feedback, and help interns learn best practices in software development. Code reviews help catch bugs, improve maintainability, and encourage collaboration within teams. For interns, participating in code reviews is a valuable opportunity to grow technical and communication skills in a real-world setting.

What are the key skills and qualifications needed to thrive as an internship code reviewer?

To thrive as an Internship Code Reviewer, you need a solid understanding of programming fundamentals, version control systems like Git, and experience with relevant coding languages, often supported by coursework or personal projects. Familiarity with code review platforms such as GitHub or GitLab and knowledge of testing frameworks are typically essential. Attention to detail, effective communication, and a collaborative attitude are standout soft skills in this role. These skills and qualities ensure high-quality, maintainable code and foster learning and growth within development teams.

What types of feedback can I expect to give and receive during an internship code review role?

As an intern participating in code reviews, you will both give and receive constructive feedback on code quality, readability, and adherence to best practices. Expect to learn how to identify potential bugs, suggest improvements, and discuss design decisions with your peers and mentors. You'll also receive guidance on your own code submissions, helping you develop technical skills and a collaborative mindset. This process is highly interactive and designed to foster growth, communication, and teamwork within a supportive environment.

What is the difference between Internship Code Review vs Software Developer?

AspectInternship Code ReviewSoftware Developer
Required CredentialsBasic programming knowledge, possibly some coursework or certificationsBachelor's degree in Computer Science or related field, relevant certifications
Work EnvironmentMentored, entry-level, team-basedFull-time, collaborative, project-driven
Employer & Industry UsageInternship programs in tech companies, startups, or software firmsFull-time roles in similar industries

Internship Code Review positions are typically entry-level, focusing on learning and assisting with code assessments under supervision. Software Developers are full-time professionals responsible for designing, coding, and maintaining software. While both roles involve coding, internships are more educational, whereas developers have ongoing project responsibilities.

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

The most popular types of Code Review jobs in Ohio are:

What are popular job titles related to Internship Code Review jobs in Ohio?

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

What cities in Ohio are hiring for Internship Code Review jobs?

Cities in Ohio with the most Internship Code Review job openings:

Data Platform Engineer

Cleveland, OH • On-site

Jack Entertainment
5 - 10K employees

$23.61 - $70.82/hr

Full-time

Posted 27 days ago


Jack Entertainment rating

6.6

Company rating: 6.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively.
Essential Functions
  • Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools.
  • Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls.
  • Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns.
  • Work with more experienced team members and business stakeholders to evaluate and prioritize improvements.
  • Develop and maintain reusable data models for reporting, analytics, and operational use.
  • Add testing, monitoring, alerting, logging, and documentation to important data workflows.
  • Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis.
  • Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices.
  • Translate business needs into practical technical solutions with guidance from internal stakeholders.
  • Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting.
  • Review and validate AI-generated work rather than accepting it without verification.
  • Learn unfamiliar systems and technologies as needed and share what you discover with the team.

Knowledge, Skills & Abilities
  • Strong foundational SQL skills and experience working with relational data.
  • Working knowledge of Python, R, or another language used for data processing and automation.
  • Some experience building, modifying, or supporting ETL/ELT pipelines.
  • Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services.
  • Basic experience with Git and modern software-development practices.
  • An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly.
  • A dependable approach to execution, documentation, and follow-through.
  • Genuine curiosity and a willingness to learn technologies outside your current experience.
  • Practical experience using AI coding assistants or language models as part of a development workflow.
  • Good judgment about validating AI-generated code and protecting confidential or sensitive company information.

Education and Experience
  • Bachelor's degree in Computer/Data Science or Analytics. In lieu of a degree, comparable professional experience in this discipline.
  • Approximately 1-3 years of relevant professional experience in data engineering, software development, analytics engineering, database development, or a related area.
  • Equivalent hands-on experience through internships, substantial projects, certifications, or other demonstrated work will also be considered.

Additional Preferred Experience
  • Cloud platforms such as Azure, AWS, or Google Cloud.
  • Data platforms such as Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, or Synapse.
  • Transformation or orchestration tools such as dbt, Airflow, Dagster, Prefect, or Azure Data Factory.
  • Business intelligence tools such as Power BI, Tableau, or Looker.
  • CI/CD, infrastructure as code, containers, or automated deployment processes.
  • Data quality, governance, lineage, cataloging, privacy, or access management.
  • Supporting or documenting an existing data architecture.

Required Certification/License
  • Ability to obtain an OCCC Gaming License, OCCC Sports Gaming License, and an OLC Gaming License

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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