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# Enterprise Applications Developer 3

- **Company:** The Ohio State University
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Computing Platforms, Microsoft Azure, Big Data, Health Informatics, Data Architecture, Information Engineering, Extract Transform Load (ETL), DevOps, Distributed Computing Environment, Distributed Systems, Systems Theories, Python (Programming Language), Software Engineering, SQL Databases, Cloud Platform System, High Performance Computing, Backend, Information Technology, Data Management, Front End Software Development, Data Pipelines, Databricks, Programming Languages
- **Published:** August 9, 2026
- **Apply:** https://www.dice.com/job-detail/454e47ac-dc4d-434e-9df4-14cb58e4d86a

## About the Role

Requirements: Bachelor's degree in Computer Science, Data Science, Software Engineering, Data Engineering, Health Informatics, or a related field; 5 years of combined professional experience in software development and data engineering. That 5 years of experience must have included all of the following: building secure, scalable software applications and data engineering pipelines in enterprise biomedical research or healthcare environments; development using one or more programming languages (such as Python, Java) and SQL, including experience processing large datasets using distributed computing frameworks; development using cloud-based platforms and familiarity with high-performance computing (HPC) or other distributed environments. (All experience may have been part-time, concurrent, and/or concurrent with education.) Requires successful completion of a background check. EOE/AA/M/F/Vet/Disability Employer.

## Description

Duties: design, develop, and optimize secure, scalable biomedical research and health sciences applications that operate on very large datasets at enterprise scale; software engineering and data engineering that supports translational and biomedical research through robust, high-performance application and data platforms; serve as a technical contributor responsible for designing, independently developing, and supporting enterprise-grade healthcare and research software applications, APIs, and services; build scalable backend services that integrate with large data platforms and research systems, and as needed develop frontend applications that support researchers, analysts, and operational stakeholders; primarily designs, build, and maintain production-grade data engineering solutions that support healthcare and research use cases; develop secure, scalable ETL and ELT pipelines for ingesting, transforming, and curating large, complex datasets using modern data architectures, including
medallion architecture (Bronze, Silver, Gold); leverage modern data engineering platforms such as the Databricks Data Intelligence Platform to process large-scale batch and streaming workloads using Python and SQL; develop and supports solutions across cloud-based platforms (e.g., Azure, AWS), Data Engineering Platforms (e.g. Databricks, Fabric) and high-performance computing (HPC) or supercomputing environments; development using infrastructure, platform, and DevOps teams to configure, deploy, and operate applications and data pipelines across hybrid computing environments; stay current with emerging technologies and best practices.


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