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Part Time Data Engineering Jobs in Ohio (NOW HIRING)

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

Experience in aerospace engineering * Experience in simulation modeling * Possession of strong ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Engineering Intern

Kent, OH

$15.25 - $19.75/hr

Participate in facility walkthroughs, data collection, and project meetings. * Perform additional ... Schedule: Part-Time Internship * Location: Manufacturing Facility Environment * Reports To:

... with Engineering, Operations, and other cross-functional teams to ensure system integrity ... This is a part-time position working 20 hours each week. Job Responsibilities: * Create, maintain ...

$82K - $112K/yr

Req Number ADM-26-00001 Requisition Category Active Full-Time/Part-Time -unspecified- Location ... RISC supports science and technology (S&T) managers and engineers while empowering AFRL leaders to ...

Engineering Co-op

Akron, OH · On-site

$22.26/hr

Akron, OH Job Type: Permanent Part-Time Job Number: 2026-E-3-423 Department: Public Service ... Collects, compiles, and analyzes data. Conducts research and provides assistance with assigned ...

Quality & Testing Intern

Youngstown, OH · On-site

$15.75 - $20.50/hr

Job Type: Seasonal (Temporary), Part-time * Tuition Reimbursement : Upon successful completion ... data to identify trends and opportunities for improvement * Collaborate with Engineering and ...

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Part Time Data Engineering information

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. However, many data science positions are full-time due to the complexity of projects and the need for continuous collaboration and skill development.

Is it possible to work part-time as an engineer?

Part-time data engineering roles are available, often requiring skills in SQL, Python, and cloud platforms. These positions typically involve flexible schedules and may require prior experience or certifications, depending on the employer's needs.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and familiarity with tools such as Hadoop and Spark enhance job prospects in this field.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What engineers make $500,000?

Senior data engineers, software engineers, and machine learning engineers with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level often requires advanced technical expertise, certifications, and sometimes leadership roles or stock options.
What are the most commonly searched types of Data Engineering jobs in Ohio? The most popular types of Data Engineering jobs in Ohio are:
What cities in Ohio are hiring for Part Time Data Engineering jobs? Cities in Ohio with the most Part Time Data Engineering job openings:
Infographic showing various Part Time Data Engineering job openings in Ohio as of June 2026, with employment types broken down into 87% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Catastrophe Modeling & Data Analytics Intern (Fall 2026)

Great American Insurance Group

Cincinnati, OH • On-site

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

52nd of 261 rated insurance


Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

Are you a data-driven problem solver looking to explore the world of catastrophe modeling? Our Reinsurance Division is offering an exciting internship opportunity for individuals eager to learn and contribute to real-world projects in a supportive team environment. This internship offers hands-on experience with real-world projects that support our catastrophe modeling, data engineering, and visualization efforts.

What You'll Work On

You'll collaborate with experienced modelers and analysts on projects such as:

Modeling & Geospatial Analysis

  • Learn to use modeling software to evaluate catastrophe risk.

  • Run analyses and identify high-risk catastrophe regions.


SQL & Data Engineering

  • Update and maintain databases, tables, queries and processes in SQL.

  • Review, update and maintain data engineering code in Python.

  • Consolidate and clean up redundant reference tables across multiple databases.


Visualization & Reporting

  • Create Tableau/Power BI dashboards.

  • Map wildfire, hurricane, convective storm, and earthquake events for visual insights.


Process Optimization

  • Help streamline repeatable modeling processes.

  • Learn and apply Python for automation and data prep tasks.

  • Collaborate with teams to share tools and insights.

What We're Looking For

  • Currently pursuing a degree in Mathematics, Statistics, Data Science, Risk Management, or a related field.

  • Proficient with Excel and a willingness to learn SQL, Tableau, Power BI and Python.

  • Looking for someone who is detail-oriented, curious, and an effective communicator to join our collaborative team.

Business Unit:

Reinsurance

Benefits:

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.

*Excludes seasonal employees and interns.


What Great American Insurance Group employees say

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