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Data Integration Remote Jobs in Ohio (NOW HIRING)

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Artiva Developer

Columbus, OH · On-site +1

$75K - $95K/yr

Remote Compensation : $75,000 - $95,000 DOE (exempt/annual salary) For over 50 years, Transworld ... data integration. * One or more years of progressively more responsible Information Systems ...

Experience with data integration from multiple sources while maintaining accuracy, quality, and ... Ability to work independently in a remote-first environment while maintaining strong coworker ...

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Showing results 1-20

Data Integration Remote information

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

AspectData Integration RemoteData Analyst Remote
Required SkillsData mapping, ETL tools, database managementData visualization, statistical analysis, SQL
CertificationsETL, data management certificationsGoogle Data Analytics, Microsoft Excel certifications
Work EnvironmentPrimarily technical, working with databases and data pipelinesAnalytical, reporting-focused, using visualization tools
Industry UsageData engineering, integration projectsBusiness intelligence, reporting, insights

While both roles involve working with data remotely, Data Integration Remote focuses on connecting and managing data sources through ETL processes and database management. Data Analyst Remote emphasizes analyzing data, creating reports, and visualizations to support business decisions. Understanding these differences helps job seekers target roles aligned with their skills and career goals.

What are the most commonly searched types of Data Integration jobs in Ohio? The most popular types of Data Integration jobs in Ohio are:
What job categories do people searching Data Integration Remote jobs in Ohio look for? The top searched job categories for Data Integration Remote jobs in Ohio are:
What cities in Ohio are hiring for Data Integration Remote jobs? Cities in Ohio with the most Data Integration Remote job openings:
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Dayton, OH • Remote

Full-time

Posted 10 days ago


Job description

Overview

FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.

Responsibilities

Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME