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Remote Data Engineer Jobs in Columbus, OH (NOW HIRING)

McKesson

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

CoverMyMeds

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

McKesson

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

Gifthealth Inc

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 ... Location : Remote Employment Classification Status: Full-time FLSA: Exempt Equal Employment ...

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

The Wendy's Company

Engineer - Data

Dublin, OH · Remote

$74K - $126K/yr

As an Engineer - Data, you'll be responsible for leading projects by defining business requirements ... Working knowledge of cloud technology tools (Google Cloud preferred) Expected Work Location (Remot ...

Wendy's

Engineer - Data

Dublin, OH · Remote

$74K - $126K/yr

As an Engineer - Data, you'll be responsible for leading projects by defining business requirements ... Working knowledge of cloud technology tools (Google Cloud preferred) Expected Work Location (Remot ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Columbus, OH

Remote Data Engineer information

See Columbus, OH salary details

$41.9K

$122.1K

$167.1K

How much do remote data engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote data engineer in Columbus, OH is $122,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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 are popular job titles related to Remote Data Engineer jobs in Columbus, OH?

For Remote Data Engineer jobs in Columbus, OH, the most frequently searched job titles are:

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,110 per year, or $58.7 per hour.

Data Engineer

Columbus, OH • Remote

McKesson
Health Care and Social Assistance • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical

People enjoy working here

Good employer

Recommended by students

Learn more about McKessonexternal

$110K - $132K/yr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

CoverMyMeds' is seeking aSpecialist, Data Engineeringto join our Data Engineering team.Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable and scalable data solutions.Together with our various business units, the work our Data Engineeringteam does ultimately helps get more people the medicine they need to live healthier lives.

We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization.

The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members.

What You'll Do

Data Engineering & Pipeline Development

  • Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs.

  • Develop data ingestion and integration processes from a variety of structured and unstructured data sources.

  • Create and optimize data transformations using SQL, Databricks, and Azure-based technologies.

  • Support both batch and real-time data processing solutions.

  • Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets.

  • Troubleshoot and resolve data pipeline performance, reliability, and data quality issues.

Data Modeling & Business Support

  • Develop conceptual and logical data models based on business reporting requirements.

  • Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions.

  • Work with application development teams to understand source systems and build efficient data flows into enterprise data environments.

  • Support data governance initiatives through standardization, documentation, and quality controls.

Team Collaboration

  • Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data.

  • Communicate technical concepts clearly to both technical and non-technical audiences.

  • Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency.

  • Share knowledge and provide guidance to less experienced team members.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.

  • 4+ years of experience in a dedicated Data Engineering role.

  • 4+ years of hands-on experience building and supporting data pipelines and data integration solutions.

  • Strong experience with Databricks in a production environment.

  • Strong SQL development skills.

  • Experience working with Azure-based data services.

  • Experience supporting reporting, analytics, systems integration, and data governance initiatives.

  • Demonstrated expertise in conceptual and logical data modeling.

  • Experience working with both structured and unstructured data.

  • Strong written and verbal communication skills.

Preferred Qualifications

  • Experience with data streaming and event-driven architectures such as Kafka.

  • Experience with Infrastructure as Code tools such as Terraform.

  • Experience supporting large-scale cloud migration or modernization programs.

  • Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies.

  • Experience supporting business-critical applications and highly available data platforms.

  • Experience mentoring junior engineers or providing technical guidance within a collaborative team environment.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$106,500 - $177,500

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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