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Data Engineer Jobs in Columbus, OH (NOW HIRING)

Senior Data Engineer

Columbus, OH · On-site

$142K - $177K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical standards ...

Senior Data Engineer

Columbus, OH · On-site +1

$142K - $177K/yr

Description Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will work in a dynamic ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will work in a dynamic ...

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard ...

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks) * Develop and maintain ...

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks) * Develop and maintain ...

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks) * Develop and maintain ...

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard ...

Lead Data Engineer - Hybrid

Columbus, OH · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Lead Data Engineer - Hybrid

Columbus, OH · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Cloud Data Engineer

Columbus, OH · On-site

$53.75 - $72/hr

AA2IT is seeking a Cloud Data Engineer to develop, expand, and optimize their data pipeline architecture. The role involves collaborating with cross-functional teams to ensure efficient data flow and ...

Showing results 21-40

Data Engineer information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Columbus, OH?

The most popular types of Data Engineer jobs in Columbus, OH are:

What job categories do people searching Data Engineer jobs in Columbus, OH look for?

The top searched job categories for Data Engineer jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Data Engineer jobs?

Cities near Columbus, OH with the most Data Engineer job openings:

Infographic showing various Data Engineer 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 $125,293 per year, or $60.2 per hour.

Senior Data Engineer

giftHEALTH Inc

Columbus, OH • On-site

$142K - $177K/yr

Full-time

Re-posted 26 days ago


Key responsibilities

  • Lead the design and architecture of critical data pipelines and platform components.

  • Set technical standards and best practices for the data team.

  • Own the health, scalability, and reliability of the orchestration infrastructure.


Gifthealth rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

20th of 113 rated pharmacies


Job description

Description:Position Summary

The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical standards, and mentoring the broader engineering team. The ideal candidate has 6+ years of data engineering experience with demonstrated senior-level ownership, expert command of SQL, Python, and dbt, and the communication skills to align both technical and non-technical stakeholders on complex problems.

Key Responsibilities  
  • Lead the design and architecture of our most critical data pipelines and data platform components
  • Set technical standards and best practices that elevate the entire data team
  • Mentor and support junior and mid-level engineers through code reviews, pair programming, and knowledge sharing
  • Own the health, scalability, and reliability of our orchestration infrastructure
  • Partner with engineering, analytics, and leadership to shape the roadmap for our data platform
  • Evaluate and introduce new tools and technologies to keep our stack modern and effective
  • Ensure compliance and confidentiality of Personal Health Information across all data 
Qualifications
  • Education: Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer
  • Experience: 6+ years of experience as a Data Engineer, with demonstrated senior-level ownership
  • Skills:  
    • 6+ years of experience as a Data Engineer, with demonstrated senior-level ownership
    • Expert proficiency in SQL and Python, with deep experience in Airflow or a comparable orchestrator
    • Strong track record with dbt, modern data warehouse platforms, and CI/CD pipelines
    • Experience mentoring engineers and contributing to team standards and culture
    • Ability to navigate ambiguity, make sound technical decisions, and drive projects to completion
    • Experience with AWS, Fivetran, and automated testing; Ruby experience is a plus
    • Excellent communication skills — you can align technical and non-technical stakeholders on complex problems
    • An excitement about what data can do for healthcare and patients
Work Environment
  • Location: Remote
Employment Classification

Status: Full-time
FLSA: Exempt 

Equal Employment Opportunity (EEO) Statement

Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status.  

We celebrate diversity and are committed to creating an inclusive environment for all employees. If you do not meet every requirement but still feel you would be a great fit for this role, we encourage you to apply!

Disclaimer

This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel. Gifthealth reserves the right to modify job duties or descriptions at any time.

Requirements:



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