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Part Time Data Engineering Jobs in Columbus, OH (NOW HIRING)

12Y Geospatial Engineer

Columbus, OH · On-site

$200 - $250/wk

In this role, you will extract and supply geographic data that supports military operations of all ... Retirement benefits for part-time service * Low-cost life insurance (up to $400,000 in coverage ...

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 ...

Medical, Dental, Vision (Full-time/Part-Time Plus only) * Paid Holidays and Vacation (Full-time ... Responsible for the planning and implementing of daily programming * Work closely with school and Y ...

Salary: $17.50-$19.50/hr Full Time (38-40 hours) Part-Time Plus (25+ hours) Part-Time (less than 25 ... Responsible for the planning and implementing of daily programming * Work closely with school and Y ...

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Part Time Data Engineering information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

How much do part time data engineering jobs pay per year?

As of Aug 4, 2026, the average yearly pay for part time data engineering in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 per year, depending on experience, location, and employer.

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.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project 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.

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 Columbus, OH? The most popular types of Data Engineering jobs in Columbus, OH are:
Infographic showing various Part Time Data Engineering job openings in Columbus, OH as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,293 per year, or $60.2 per hour.

Session Moderator, AI Data Studio (Part-Time)

HumanSignal

Columbus, OH • On-site

$18 - $25/hr

Part-time

Re-posted 7 hours ago


Job description

About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
About the Role
Moderators run our in-person data collection sessions. You'll set up the recording equipment, walk participants through their tasks, keep the session on track, and make sure the data we capture is clean and usable. It's part technical, part people. The best moderators are the ones who can troubleshoot a camera rig and put a nervous first-time participant at ease in the same five minutes.
  • Location: Columbus, OH (Discovery District), 100% onsite
  • Type: Part time, hourly
  • Pay: $18 to $25 per hour
What You'll Do
  • Lead group and individual data collection sessions from start to finish
  • Set up, operate, and troubleshoot recording equipment: cameras, microphones, sensors, and session software
  • Give clear instructions, answer participant questions, and keep sessions moving on schedule
  • Monitor recordings in real time and catch quality issues before they become re-shoots
  • Flag equipment or process problems to the shift Team Lead
  • Reset the studio between sessions
What You Bring
  • Hands-on experience with technical setup of some kind. We've had great moderators come from audio engineering, IT support, photography, videography, AV and live events, and robotics or equipment operation
  • Comfort speaking in front of a group and directing a room. This is non-negotiable; moderators lead sessions, not just run gear
  • Patience and clarity when explaining instructions to people with zero technical background
  • Attention to detail. Small setup mistakes ruin whole sessions
  • Availability for part-time shifts during active project periods, including some evenings and weekends
Why This Role
You'll work with interesting capture technology, build real facilitation experience, and see exactly how the data behind modern AI gets created. Flexible part-time scheduling around active projects.
HumanSignal is an equal opportunity employer. Final pay within the posted range is based on experience and equipment scope.