2

Remote Data Platform Engineer Jobs in Columbus, OH

Platform Reliability & Operations Monitor and optimize cloud platform performance, availability ... Cross-Functional Collaboration Work closely with FinOps, data engineering, and product teams to ...

Showing results 41-60

Remote Data Platform Engineer information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

How much do remote data platform engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data platform 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 remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

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

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

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

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

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

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

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

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

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

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

Infographic showing various Remote Data Platform Engineer job openings in Columbus, OH as of June 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,293 per year, or $60.2 per hour.

Lead Test Data Management Engineer

Huntington

Columbus, OH • On-site, Remote

Full-time

Posted 11 days ago


Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

67th of 175 rated banks


Job description

Description The Lead Test Data Management Engineer is responsible for translating Huntington's Test Data Management (TDM) strategy into operational capabilities. This role serves as the bridge between architecture, engineering, governance, and delivery teams, driving the design, implementation, and adoption of enterprise test data capabilities that reduce reliance on production data in lower environments. The position combines technical leadership, solution design, and hands-on engineering expertise to establish repeatable test data services, accelerate pilot delivery, and create the foundation for a scalable Test Data Management capability.

Basic Qualifications: Bachelor's Degree 5+ years of related experience or an additional 4 years of related work experience may be considered in lieu of the Bachelor's Degree Platform & Capability Leadership Partner in defining the TDM roadmap and engineering priorities while providing technical leadership for implementation. Identify opportunities to eliminate production data usage in non-production environments. Provide analysis and recommendations for build-vs-buy evaluations, technology tradeoffs, and implementation decisions.

Engineering & Solution Delivery Design and implement synthetic data generation and test data provisioning solutions. Build reusable automation, data pipelines, engineering patterns, and accelerators. Integrate TDM capabilities with testing, quality engineering, and CI/CD processes.

Partner with application teams to onboard use cases and validate solutions. Evaluate and implement tooling to improve test data quality, availability, and efficiency. Maintain deep technical expertise in TDM tools, synthetic data technologies, and supporting platforms.

Test Data Lifecycle Management Define and operationalize end-to-end test data lifecycle processes. Establish repeatable provisioning, refresh, archival, and retirement patterns. Define service models for requesting, generating, delivering, and maintaining test data.

Data Quality, Reuse & Governance Establish reusable synthetic data patterns and data asset libraries. Develop standards for referential integrity and realistic test data creation. Define validation approaches to ensure synthetic data is fit for purpose.

Measure and report progress toward reducing or eliminating production data usage. Adoption & Organizational Enablement Support onboarding, training, and adoption activities across technology teams. Monitor emerging industry trends and recommend improvements to Huntington's TDM capabilities.

Establish reusable engineering patterns and operational processes that support future scalability. Additional Experience Experience designing and implementing technology or data solutions. Experience with databases, APIs, data pipelines, automation frameworks, and software delivery practices.

Demonstrated ability to lead complex technical initiatives across multiple teams and stakeholders. Experience with synthetic data generation, masking, tokenization, virtualization, or privacy-preserving data techniques. Experience implementing automated test data provisioning solutions.

Familiarity with Agile delivery models, DevOps practices, and CI/CD integration. Experience evaluating and implementing technology platforms and vendor solutions. Strong understanding of data governance, risk management, compliance, and information security principles.

Experience supporting large-scale application development and testing environments. Ability to balance strategic planning with hands-on technical execution. Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement.

We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter.

Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Apply


What Huntington National Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom