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

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing ...

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

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 ...

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

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 ...

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing ...

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

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 ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Lead Data Engineer Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a ...

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Lead Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Lead Data Engineer

Columbus, OH

$107.50K - $129.20K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Lead Data Engineer

Columbus, OH

$107.50K - $129.20K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Senior Data Engineer

Columbus, OH · On-site +1

$99K - $134.50K/yr

Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main Responsibilities: * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support ...

Lead Data Engineer

Columbus, OH · Hybrid

$111.82K - $139.76K/yr

Description Lead Data Engineer - Downtown Columbus, Ohio The Ohio Public Employees Retirement ... The opportunity to work in a hybrid environment with up to 3 days remote! Who We Are Since 1935 ...

Lead Data Engineer

Columbus, OH · Hybrid

$111.82K - $139.76K/yr

Description Lead Data Engineer - Downtown Columbus, Ohio The Ohio Public Employees Retirement ... The opportunity to work in a hybrid environment with up to 3 days remote! Who We Are Since 1935 ...

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Chipotle Senior Data Engineer 12+ month contract (potential for extension) Key Responsibilities: * Design, develop and maintain scalable data pipelines * Develop data ingestion and integrations (REST ...

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Kimball Midwest, a national distributor of maintenance, repair, and operation products, is searching for a Data Engineer to join our IT team! We are looking for someone who is driven, passionate ...

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Kimball Midwest, a national distributor of maintenance, repair, and operation products, is searching for a Data Engineer to join our IT team! We are looking for someone who is driven, passionate ...

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Showing results 1-20

Remote Data Engineer information

See Columbus, OH salary details

$41.8K

$121.8K

$166.7K

How much do remote data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineer in Columbus, OH is $121,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,200.00 per year, depending on experience, location, and employer.

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 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 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.

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:
Data Engineer

$108.10K - $129.80K/yr

Full-time

Posted 18 days ago


Job description

JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance.

ESSENTIAL DUTIES

· Design, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake.

· Ingest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use.

· Develop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements.

· Create microservices architecture that rapidly scales with business growth and AI capabilities.

· Build data pipelines that feed AI models with clean, structured logistics data.

· Implement real-time analytics engines powering predictive logistics capabilities.

· Ensure data quality, integrity, and governance through validation, monitoring, and alerting systems.

· Collaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs.

· Implement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses.

· Maintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics.

· Contribute to the architecture of our data platform, including security, scalability, and performance best practices.

· Automate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform).

· Stay current with emerging Azure technologies and recommend improvements to existing data workflows

· Other duties as assigned.

QUALIFICIATIONS

Education

· Bachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required.

· Additional related training and certifications will be weighted on a case-by-case basis.

Experience

· 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases

· Work experience in the transportation industry is a plus.

Knowledge, Skills, and Abilities

· Proven experience building and managing data pipelines in Microsoft Azure environments.

· Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.

· Strong knowledge of SQL, data modeling, and ELT/ETL patterns.

· Experience working with APIs, JSON, and structured/unstructured data sources.

· Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions.

· Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines.

· Availability to work a flexible schedule as needed.

· Proficient in Microsoft Office Suite.

· Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams.

· Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment.

· Logistics / Supply Chain experience preferred.