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Junior Data Engineering Jobs in Columbus, OH (NOW HIRING)

GCP Data Engineer

Dublin, OH · Remote

$108.10K - $129.80K/yr

... data engineering projects at the same time Be able to come up with tasks/assign/track for junior team members Provide regular updates to stakeholders & leadership via emails and regular meetings ...

Lead Data Engineer - Generative AI

Columbus, OH · Hybrid

$110.60K - $132.80K/yr

Mentor junior team members and engage in communities of practice to deliver high-quality data and ... Experience with prompt engineering techniques for large language models. * Experience in ...

Extensive experience with data engineering tooling (e.g., Glue, Landa, Athena, AWS) * Expert ... Ability to train more junior analysts regarding day-to-day activities, as necessary * Proven ...

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

Extensive experience with data engineering tooling (e.g., Glue, Landa, Athena, AWS) * Expert ... Ability to train more junior analysts regarding day-to-day activities, as necessary * Proven ...

Mentor and provide technical guidance to Data Engineers and junior team members on Data Vault modeling, Data Mesh practices, and platform best practices * Facilitate communication with Databricks and ...

Sr. Consultant, Data Engineer

Columbus, OH · On-site

$99K - $134.50K/yr

Mentorship of junior engineers in best practices for data ingestion, performance tuning, and ... troubleshooting. * 5+yrs in related technical roles, data management, database development, ETL ...

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Junior Data Engineering information

See Columbus, OH salary details

$32.4K

$69.4K

$105.8K

How much do junior data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for junior data engineering in Columbus, OH is $69,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,800.00 and $77,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Data Engineer, and why are they important?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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 Junior Data Engineering jobs in Columbus, OH? For Junior Data Engineering jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Columbus, OH look for? The top searched job categories for Junior Data Engineering jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Junior Data Engineering jobs? Cities near Columbus, OH with the most Junior Data Engineering job openings:
Infographic showing various Junior Data Engineering job openings in Columbus, OH as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 85% Physical, and 15% Remote job distribution, with an average salary of $69,351 per year, or $33.3 per hour.
Senior Data Engineer, Data Science Infrastructure

Senior Data Engineer, Data Science Infrastructure

Liberty Mutual

Columbus, OH • On-site

$110.60K - $132.80K/yr

Full-time

Posted 11 days ago


Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

46th of 258 rated insurance


Job description

Description

Modeling Data Solutions is seeking experienced data engineers to join our Data Solutions job family. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market.

**This is a range posting. Level of position offered will be based on skills and experience at manager discretion.**

**This role may have in-office requirements based on candidate location.**

In this role, you can expect to:

  • Lead the design, development, and maintenance of scalable and efficient data pipelines and ETL/ELT processes to support analytics and pricing models. 
  • Architect and implement high performance data integration solutions using modern tools and cloud services (AWS preferred) with attention to latency, throughput and cost.
  • Implement and maintain automated data quality and testing frameworks (unit, integration, regression, anomaly detection) to ensure data correctness and trust for downstream analytics
  • Collaborate with cross functional teams, including data scientists, product analysts, software engineers, to gather requirements, design solutions, and provide technical guidance for production launches
  • Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency (query tuning, partitioning, resource configuration, storage formats such as Parquet/Delta).
  • Mentor and guide junior data engineers, promoting engineering best practices, code review and thoughtful design.
  • Stay up-to-date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate.
  • Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation)
  • Incorporate Gen AI capabilities into data workflows and developer tooling and help operationalize safe, cost-effective Gen AI integrations.

The ideal candidate will:

  • Have strong technical aptitude with data extraction and data engineering platforms (Python, Spark/PySpark, SQL, cloud computing: AWS and Snowflake).
  • Demonstrate 5+ years of experience building production data pipelines and platforms, with both batch and streaming experience
  • Possess hands-on experience with data quality testing frameworks and practices, and experience implementing automated data tests and validation.
  • Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective).
  • Have excellent communication skills and the ability to work with technical and non-technical stakeholders.

Preferred qualifications:

  • Familiarity with ML pipelines and supporting feature stores or feature engineering workflows (Databricks).
  • Prior mentoring or technical leadership experience.
Qualifications
  • Strong written and oral communication skills required
  • Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
  • Master`s in same or related disciplines strongly preferred
  • 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. 
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. 

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits  Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.  Fair Chance Notices 

  • California 
  • Los Angeles Incorporated 
  • Los Angeles Unincorporated 
  • Philadelphia 
  • San Francisco 
Employment Type: FULL_TIME

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Liberty Mutual logo

About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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