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Entry Level Data Engineering Jobs in Columbus, OH

Take field notes of field data gathered. * Interface with landowners and refer any landowner ... Work collaboratively with other professionals, engineers, scientists, project control, and ...

Take field notes of field data gathered. * Interface with landowners and refer any landowner ... Work collaboratively with other professionals, engineers, scientists, project control, and ...

Buyer (Entry Level)

Marysville, OH · On-site

$28.85 - $31.25/hr

Strong Microsoft Excel skills, including data analysis and reporting * Strong analytical and ... Collaborating with engineering, operations, finance, and product teams on sourcing initiatives

Project Engineer

Columbus, OH · On-site

$60K - $80K/yr

Position OverviewThe Project Engineer position is an entry level opening in the Eastern Division ... Perform field observations, trouble shoot problems, assist with field measurements and data ...

The Project Engineer position is an entry level opening in the Eastern Division - Columbus, Ohio ... Perform field observations, trouble shoot problems, assist with field measurements and data ...

Project Engineer

Columbus, OH · On-site

$60K - $80K/yr

The Project Engineer position is an entry level opening in the Eastern Division - Columbus, Ohio ... Perform field observations, trouble shoot problems, assist with field measurements and data ...

Achieve monthly sales targets across high-speed data, mobile, landline phone and video services ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Entry Level Sales

Columbus, OH · On-site

$30K/yr

Achieve monthly sales targets across high-speed data, mobile, landline phone and video services ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Showing results 41-60

Entry Level Data Engineering information

See Columbus, OH salary details

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$19

$30

How much do entry level data engineering jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level data engineering in Columbus, OH is $19.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $21.11 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

What are the key skills and qualifications needed to thrive as an entry level data engineer?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

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:

What are popular job titles related to Entry Level Data Engineering jobs in Columbus, OH?

For Entry Level Data Engineering jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Engineering jobs in Columbus, OH look for?

The top searched job categories for Entry Level Data Engineering jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Entry Level Data Engineering jobs?

Cities near Columbus, OH with the most Entry Level Data Engineering job openings:

Infographic showing various Entry Level Data Engineering job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,663 per year, or $19.5 per hour.

2027 Entry Level Rotational Program Engineering - LEAP

Qnity

Delaware, OH

Full-time

Re-posted 3 days ago


Job description

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we're more than a global leader in materials and solutions for advanced electronics and high-tech industries - we're a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

At Qnity, our Early Career LEAP Rotational Program is designed to develop the next generation of engineering leaders through meaningful experiences across manufacturing, technology, automation, digital, and operations. We are seeking curious, agile, and collaborative engineers who are eager to solve complex challenges,leverageemerging technologies, drive innovation, and make a measurable impact from day one.

Through structured rotational assignments, participants gain broad business exposure, technical expertise, leadership development, and mentorship while building a strong foundation for long-term career success at Qnity. Participants will have opportunities to work on initiatives involving advanced manufacturing technologies, automation systems, digital manufacturing, smart factory concepts, process optimization, data analytics, and operational excellence.

In this program, you will contribute to projects focused on process improvement, product quality, equipment reliability, safety, automation, digital transformation, manufacturing intelligence, and business performance.

Rotational Opportunities May Include

  • Production/Process Engineering

  • Manufacturing Technology

  • Automation & Process Control

  • Digital Manufacturing & Smart Factory Initiatives

  • Equipment Reliability & Maintenance

  • Continuous Improvement

  • Product Quality

  • Technical Service

  • Operations Leadership

  • Data Analytics & Process Optimization

Program Locations

Participants may complete rotations at one or more of the following U.S. locations:

Wilmington, DE

Newark, DE

Marlborough, MA

Schaumburg, IL

Bayport, TX

Circleville, OH

Towanda, PA

Minimum Qualifications

  • Pursuing or holding a Bachelor's or Master's degree in Chemical Engineering, Mechanical Engineering, Electrical Engineering, or a related engineering discipline from an ABET-accredited institution at the time of employment.

  • Minimum GPA of 3.0 on a 4.0 scale.

  • At least six months of relevant paid internship, co-op, or equivalent engineering experience.

  • Legal right to work in the U.S. without current or future need for visa sponsorship.

Program Expectations

  • 100% geographic flexibility to support developmental opportunities across program locations.

  • Willingness to relocate as business and development needs require.

  • Willingness to provide plant or manufacturing area support, including on-call responsibilities when required.

  • Commitment to completing a structured rotational program consisting of a minimum of 3 assignments, each approximately 18 months.

  • Ability to work effectively in manufacturing, operations, technical, automation, and digital manufacturing environments while collaborating across multiple functions.

Preferred Qualifications

  • Demonstrated leadership experience through academic, professional, or extracurricular activities.

  • Strong initiative, adaptability, learning agility, and problem-solving skills.

  • Experience with automation, controls, robotics, manufacturing systems, or digital technologies.

  • Exposure to data analytics, process modeling, visualization tools, manufacturing intelligence platforms, or digital workflow tools.

  • Knowledge of continuous improvement methodologies and data-driven decision making.

  • Six Sigma Green Belt certification, or willingness to obtain certification during the program.

  • Exposure to root cause analysis, process hazard analysis, manufacturing operations, process safety, or automated production systems.

Why Join Qnity?

Join an industry-leading, world-class company with deep materials scienceexpertise, advanced manufacturing capabilities, and a strong culture of innovation. As a member of the Early Career LEAP Rotational Program, you will gain experience across multiple engineering disciplines while helping drive the future of manufacturing through automation, digital technologies, data-driven decision making, and continuous improvement.

You will work alongside experienced technical and business leaders, build a powerful professional network, and develop the technical, operational, automation, digital manufacturing, and leadership capabilities needed to accelerate your career. Our rotational program provides a unique opportunity to gain exposure to both engineering fundamentals and the advanced manufacturing technologies shaping the future of the industry.

You will become part of a distinguished community of program alumni who have advanced into key technical, operational, and business leadership roles across Qnity.

Join our Talent Community to stay connected with us!

Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit ourAccessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

We use Artificial Intelligence (AI) to enhance our recruitment process.