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Data Platform Engineer Jobs in Ohio (NOW HIRING)

Fifth Third

Lead AWS Platform Engineer

Cincinnati, OH

$98K - $129K/yr

Support the enablement and integration of structured and unstructured data sources, cloud-native AI services, APIs, and enterprise platforms to facilitate scalable AI solution delivery. * Stay ...

Fifth Third Bank

Lead AWS Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Support the enablement and integration of structured and unstructured data sources, cloud-native AI services, APIs, and enterprise platforms to facilitate scalable AI solution delivery. * Stay ...

AlloBaas

Data Engineer II

Lakewood, OH · On-site

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... Administer and optimize Snowflake and other data platforms to ensure performance and alignment with ...

Apex Systems

Lead Platform Engineer

Cleveland, OH · On-site

$99K - $130K/yr

Platform Engineer Location: Cleveland, Ohio (On-site) Role Overview This role is responsible for ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced ... Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform ...

Deloitte

AI Engineer Consultant

Cincinnati, OH · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

ASRC Federal Holding

... Platform Engineer to join our team in Dayton, Ohio. This position offers a sign-on bonus. This role ... You'll work closely with cross-functional teams to ensure seamless data flow, system ...

Deloitte

AI Engineer Consultant

Cleveland, OH · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Deloitte

AI Engineer Consultant

Columbus, OH · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

ALLOBAAS

Data Engineer II

Lakewood, OH · On-site +1

Description Position Summary: The Data Engineer II will play a vital role in our Data ... Administer and optimize Snowflake and other data platforms to ensure performance and alignment with ...

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All JobsData Platform Engineer JobsData Platform Engineer Jobs in Ohio

Data Platform Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data platform engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data platform engineer in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Platform Engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a Data Platform Engineer job?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a Data Platform Engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the most commonly searched types of Data Platform Engineer jobs in Ohio? The most popular types of Data Platform Engineer jobs in Ohio are:
What are popular job titles related to Data Platform Engineer jobs in Ohio? For Data Platform Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in Ohio look for? The top searched job categories for Data Platform Engineer jobs in Ohio are:
What cities in Ohio are hiring for Data Platform Engineer jobs? Cities in Ohio with the most Data Platform Engineer job openings:
Data Platform Engineer jobs near you

Platform Engineer - TS/SCI clearance required

asrcfh

Dayton, OH • Hybrid

Other

Posted 8 days ago

Job description

ASRC Federal has an exciting opportunity for a skilled and forward-thinking Platform Engineer to join our team in Dayton, Ohio. This position offers a sign-on bonus.

This role is pivotal in designing, developing, and maintaining integrations between cloud-based applications and on-premise systems. You’ll work closely with cross-functional teams to ensure seamless data flow, system interoperability, and scalable architecture across our enterprise platforms

Responsibilities include:

  • Administer and maintain cloud-hosted application instances
  • Develop integration workflows between SaaS solutions, VM-based applications, and third-party APIs.
  • Monitor application health, performance, and usage metrics; proactively identify and resolve issues.
  • Manage configuration, patching, upgrades, and security compliance across cloud applications.
  • Collaborate with cross-functional teams to support business process automation and data synchronization.
  • Develop and maintain documentation for application configurations, integration flows, and operational procedures.
  • Evaluate new tools and technologies to enhance operational efficiency and integration reliability.

Qualifications/ Technical Experience Requirements:

  • Must be a US citizen to currently have or be willing to attain a Department of Defense Top Secret/SCI Clearance.
  • 4-5 years of experience in cloud application administration and integration engineering.
  • Bachelor’s degree in Computer Science, Information Systems, or related field.
  • Security+ required, but can be obtained after hiring
  • Significant demonstrated experience deploying applications to mainstream cloud ecosystems (Azure, Amazon Web Services) and associated technology stacks, including container technologies (Docker, Kubernetes)
  • Expertise in managing SaaS platforms and cloud-native applications.
  • Excellent troubleshooting and analytical skills
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Master’s degree in Computer Science, Information Systems, or related field.
  • MS Azure cloud certifications (e.g., Azure Administrator Associate)
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Knowledge of hybrid cloud, multi-cloud, and edge computing integration strategies.
  • Familiarity with monitoring and observability tools (CloudWatch, Azure Monitor, Prometheus, etc.).
  • Background in enterprise application integration (EAI) or data integration platforms.
  • Experience with identity and access management (IAM), SSO, and role-based access controls
  • Knowledge of data governance, compliance frameworks.
  • Background in scripting or automation.

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