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Entry Level Data Engineering Jobs in Ohio (NOW HIRING)

You will collaborate with Data and AI Engineering teams to productionize these solutions, applying ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Work closely with Data and Software Engineering teams to effectively productionize algorithms ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

They are seeking an Entry Level SAS Programmer to join their Biostatistics team, where the ... external data • Coordinate communication and issues with Data Management regarding database ...

Engineering Summer Intern

Cleveland, OH · On-site

$16.25 - $21/hr

Work as an entry level engineer in a manufacturing plant that performs powder metallurgy, forging ... Collect and analyze data, develop hypotheses, present conclusions and options, implement agreed ...

Engineering Summer Intern

Warrensville Heights, OH · On-site

$15.75 - $20.50/hr

Work as an entry level engineer in a manufacturing plant that performs powder metallurgy, forging ... Collect and analyze data, develop hypotheses, present conclusions and options, implement agreed ...

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Entry Level Data Engineering information

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$10

$19

$29

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

As of Jun 13, 2026, the average hourly pay for entry level data engineering in Ohio is $19.24, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.82 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in cloud platforms, big data tools, and extensive industry experience. These roles are rare and usually involve leadership responsibilities or niche expertise.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What is an Entry Level Data Engineering job?

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.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for entry-level positions. Building a solid foundation in data concepts and gaining hands-on experience can improve chances of securing such roles.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

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.

Is data engineering an entry level job?

Data engineering can be an entry level role, especially for those with foundational skills in programming, databases, and cloud platforms. However, many positions require some experience with data pipelines, scripting, and tools like SQL, Python, or Spark, so entry-level candidates should focus on developing these skills and relevant certifications.
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 are popular job titles related to Entry Level Data Engineering jobs in Ohio? For Entry Level Data Engineering jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Entry Level Data Engineering jobs? Cities in Ohio with the most Entry Level Data Engineering job openings:
Infographic showing various Entry Level Data Engineering job openings in Ohio as of June 2026, with employment types broken down into 2% As Needed, 63% Full Time, 33% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,023 per year, or $19.2 per hour.
Entry Level Project Engineer

Entry Level Project Engineer

Metropolitan Environmental Services

Columbus, OH • On-site

$80K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Description
Metropolitan Environmental Services Inc
About Us:
Metropolitan Environmental Services Inc., part of the Carylon Corporation, has continuously served industry and municipalities since 1948. We are a nationwide collection of 14 best-in-class companies. Our vast resources, expertise, and decades of experience get even the toughest jobs done right. We offer not just a job, but a long-term career, as many of our employees start and end their careers with us. Metropolitan Environmental Services has access to hundreds of pieces of specialty equipment, from belt presses to dredges, to over 150 TV truck units, which enables us to perform any size project. We are proud of the many dedicated employees who we consider family.
Job Details:
Position: Entry Level Environmental/Civil/Mechanical/Industrial Engineers
Where: Columbus, OH
Pay: $80,000 - $120,000/Year
Benefits: Health, dental, vision, 401(k), PTO, ESOP
Areas of focus / Job duties / Responsibilities include:
  • Consistently communicate clearly with all employees to ensure a safe working environment, with Health, Safety, and Environmental Compliance as the #1 priority.
  • Project Engineering: Manage active dredging, dewatering, and environmental excavation projects. Duties include creating project schedules/timelines, scheduling crews and equipment, collaborating with superintendents and engineers on resource coordination, writing subcontracts, coordinating subcontractor activities, ordering materials, assembling product submittals (material data sheets, equipment data sheets, and work processes), writing correspondence, tracking quantities, and creating monthly estimates.
  • Estimating and Proposals: Attend pre-bid meetings, conduct site visits, collaborate with superintendents, break down projects by work steps, create timelines, reach out to subcontractors for pricing, build vendor relationships, assign cost components, gather material pricing, input data into spreadsheets for cost estimates, and participate in bid review meetings.
  • Field Engineering: May include temporary site assignments to supervise and track larger-scale construction projects.

Additional duties include:
  • Assisting with logistics for production and delivery
  • Supporting QA/QC processes in product output
  • Assisting with staff planning and scheduling
  • Filterability testing for dewatering
  • Conducting pond/lagoon depth studies and sediment/sludge sampling
  • Ordering, handling, and mixing all chemicals used in production
  • Communicating with customers
  • Organizing liner orders, packing in proper sequence, and coordinating timely shipping

Physical Requirements:
  • Ability to lift 50 lbs.

Requirements:
  • B.S. in Environmental/Civil, Mechanical, or Industrial Engineering
  • Ability to pass a physical, drug test, and background check
  • Valid driver's license
  • Ability to travel as needed

AA/EEO Statement
The Company provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, status as a protected veteran, genetic information, status as a qualified individual with a disability, and any other basis protected by federal, state, or local laws. Carylon considers qualified applicants with a criminal history. Disclosure of criminal history is not required until a conditional offer has been made and the background check process has begun. At that point, applicants with a criminal history will be given the chance to explain the conviction, provide mitigating evidence, or challenge the accuracy of the background report.