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Junior Data Engineer Jobs in Ohio (NOW HIRING)

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

You'll learn, create, and problem-solve with technologists, product developers, librarians ... Mentor junior data scientists and contribute to the development of team capabilities through code ...

ComResource

Data Scientist

Columbus, OH

... analysts, data engineers, architects, product management, and subject matter experts to align analytics solutions to strategic goals. * Mentor junior team members, conduct code reviews, and ...

KBR, Inc.

Junior Systems Engineer

Beavercreek, OH · On-site

$85K - $110K/yr

Junior Systems Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team ... Collect, organize, and analyze test data to evaluate system behavior, performance, limitations, and ...

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All JobsData Engineer JobsJunior Data Engineer JobsJunior Data Engineer Jobs in Ohio

Junior Data Engineer information

See Ohio salary details

$31.8K

$68.3K

$104.1K

How much do junior data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for junior data engineer in Ohio is $68,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $76,100.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

What are the most commonly searched types of Data Engineer jobs in Ohio?

The most popular types of Data Engineer jobs in Ohio are:

What are popular job titles related to Junior Data Engineer jobs in Ohio?

For Junior Data Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineer jobs in Ohio look for?

The top searched job categories for Junior Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Junior Data Engineer jobs?

Cities in Ohio with the most Junior Data Engineer job openings:

Junior Data Engineer jobs near you
Infographic showing various Junior Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $68,259 per year, or $32.8 per hour.

Big Data with Scala

Avani Technology Solutions, Inc.

Columbus, OH • On-site

$54 - $71.25/hr

Full-time

Re-posted 18 days ago

Job description

Please find the requirement below. let me know your interest with Updated resume
Top Three Skills:
1. SCALA Developer who has used Spark, and has a strong understanding of Kafka ... ***will consider strong JAVA
2. Data Engineering - moving data from source systems (SAP, WMS, Order Mgt., Oracle/DB2). This person would also need to engineer and stage it.
3. Hadoop - on prem., MapR distribution (would also look at experience w/HortonWorks or Cloudera)
4. Experience pulling data from Supply Chain systems
Job Description:
L Brands is looking for a Big Data Engineer responsible for supporting Big Data analytics. Work closely with business partners to translate complex functional and technical requirements into high performing Big Data systems. Work on multiple projects as a technical lead
to develop, test, and deliver Big Data solutions.
Additional Information:
-Conducts logical and physical database design
-Identifies unique opportunities to collect new data.
-Designs ETL processes and data pipelines to build large, complex data sets.
-Strategizes new uses for data and its interaction with data design.
-Finds new uses for existing data sources.
-Conducts statistical modeling and experiment design.
-Discovers "stories" told by the data and presents them to business partners
-Tests and validates predictive models.
-Builds data visualization prototypes.
-Implements automated processes for efficiently producing scale models.
-Designs, modifies and builds new dataprocesses.
-Implement, configure, administer, monitor Hadoop clusters
-Implements new or enhanced software designed to access and handle data more efficiently.
-Prepare and communicate status, issues, and opportunities to the business.
-Provides technical assistance to junior team members
-Create, refine and enforce data management standards, policies, and procedures.
-Evaluates emerging Big Data technologies to develops next-generation Big Data analytics framework
-Responsible for problem escalation to appropriate L Brands teams and third parties as appropriate.
-Provide 24x7 on-call support
Authority:
-Recommend expenditures as required to meet Big Data support requirements.
-Recommend the initiation of Big Data support activities and projects .
-Recommend Big Data standards/directions/technologies.
Qualifications:
Required:
-4 year degree in Information Systems or an equivalent combination of course work
and job experience
-4-6 years experience with Big Data technologies and analytics

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