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Entry Level Data Engineering Jobs in Columbus, OH

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI Engineer

Columbus, OH · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Distribution Designer I

Gahanna, OH · On-site

$21 - $26/hr

... data, engineering analyses, reports, drawings, and electronic records in accordance with ... Entry level with an Associate's degree in Engineering or Technical field • 1+ years Electric ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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Entry Level Data Engineering information

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

As of Aug 8, 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 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 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.

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, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $40,663 per year, or $19.5 per hour.

Manager of Data Engineering

The LaSalle Group

Columbus, OH • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision

Posted 10 days ago


Job description

Manager of Data Engineering
Overview
A leading enterprise organization is seeking a Manager, Data Engineering to lead a team responsible for delivering modern data solutions that support Finance and Supply Chain business operations.
This role combines people leadership, stakeholder management, and technical oversight within a rapidly evolving cloud data environment.
Key Responsibilities
  • Lead and mentor a team of data engineering professionals
  • Partner directly with Finance and Supply Chain stakeholders
  • Gather, refine, and prioritize business requirements
  • Drive development of scalable data products and solutions
  • Support ongoing cloud data platform modernization initiatives
  • Ensure operational reliability, testing, monitoring, and support processes
  • Collaborate across business and technology teams to improve data accessibility and quality

Required Qualifications
  • Leadership experience managing data engineering teams
  • Strong SQL and data architecture background
  • Experience with modern cloud data platforms
  • Strong business-facing communication skills
  • Experience translating business requirements into technical solutions
  • Ability to manage competing stakeholder priorities

Preferred Qualifications
  • Snowflake
  • dbt
  • Fivetran
  • Airflow
  • Python
  • Oracle Fusion
  • SAP
  • Supply Chain or Finance domain knowledge
  • ERP implementation experience

Compensation & Benefits
  • Salary range: $150,000 - $165,000
  • Eligibility to earn a 12.5% Annual Bonus Target
  • Benefits: Medical, dental, and vision insurance available

Work Environment
  • 4 days per week onsite in Columbus, OH
  • Highly collaborative environment
  • Product-oriented data culture
  • Strong partnership with business stakeholders across Finance and Supply Chain

#LI-CS1
LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.