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Part Time Data Engineering Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

Master's degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field * AI/ML, Cloud ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Stantec

Civil Engineer in Training

Columbus, OH · On-site

$60K - $70K/yr

... engineering disciplines and professionals in the coordination of the project. * Perform data ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

You will contribute across the development lifecycle supporting data processing, model creation ... You will partner closely with cross-functional engineering, mission SMEs, and product teams to ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

You will contribute across the development lifecycle supporting data processing, model creation ... You will partner closely with cross-functional engineering, mission SMEs, and product teams to ...

Arcadis

Electrical Engineer

Cincinnati, OH · On-site

$105K - $150K/yr

Travel to project sites for engineering site surveys, data collection for power system studies ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Ohio

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.

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.

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 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:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Applied Mathematics & Statistics Intern

Applied Mathematics & Statistics Intern

Applied Optimization

Fairborn, OH • On-site

Part-time

Posted 12 days ago

Job description

Applied Optimization (AO) Job Description

Job Title: Applied Mathematics & Statistics Intern Reports to: Principal Scientist
FLSA Status: Part-Time (Non-Exempt) Department: Space Science
Position Objective:
  • To support an interdisciplinary team that develops new generation scientific algorithms in space science through mathematical modeling, statistical analysis, applications of machine learning and artificial intelligence techniques, and implements these into numerical analysis and software deliverables to our customers.
Essential Functions:
  • Support the development and testing of mathematical models of real data
  • Support the implementation of mathematical formulae and algorithms into software code
  • Support hypothesis testing through statistical analysis methods to analyze and interpret effectiveness of algorithms
  • Support modifying and debugging code
  • Perform verification and quality assurance for new and existing mathematical algorithms and code
  • Help prepare and review presentations, papers, and reports to convey statistical analysis, mathematical modeling, and software development to customers
  • Ensure accuracy of your work and follow procedures in documenting work; maintain notebook of daily activities and provide weekly reports of work
  • Other duties as assigned
Required Qualifications:
  • Undergraduate or graduate student currently enrolled in a program related to the field of mathematics or statistics with a superior academic record
  • Basic understanding of software development and knowledge of various programming languages
  • Attention to detail and effective time and schedule management skills
  • Effective organizing, planning, and problem-solving skills
  • Ability to adapt within a small team to support evolving customer requirements
  • Ability to adapt between and balance work falling under a range of research topics including additive manufacturing, space research, and optics
  • Ability to execute instructions and communication in written, oral, and diagram form
  • Demonstrated strong writing, fact-gathering, and analytical skills
  • Basic computer skills including, but not necessarily limited to, Microsoft Office products (e.g., Outlook, Word, Excel, and PowerPoint)
Preferred Qualifications:
  • College sophomore or higher with cumulative GPA (Grade Point Average) of 3.5 or higher
  • A minor or dual degree in computer science or computer engineering
  • Theoretic knowledge and experience of Agile software development practices and UML
  • Knowledge or experience in Python, MATLAB, and/or C++ programming languages
  • Knowledge or experience in Git management and use for collaborative projects
  • Experience with machine learning, artificial intelligence, and numerical optimization techniques
Citizenship/Security Clearance Requirements:
  • U.S. Citizen or Green Card Holder
  • May be required to obtain and maintain U.S. Government Security Clearance
About Our Internships:
  • Hours: The internship is a part-time, year-round position that requires a minimum of sixteen hours per week of work. The hours are flexible and they can change from one semester to another based on the students class schedule. The weekly hours can be adjusted to balance for the examinations, tests, and project submissions.
Employment Structure:
  • In-office attendance is required; remote work is not available at this time.
About Us: Applied Optimization is a growing organization located in Fairborn, OH. We are an equal opportunity employer offering a competitive salary that is commensurate with qualifications and a comprehensive benefits package. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by applicable law. Find out more about us at www.appliedo.com.
This job description is subject to change.