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# Enterprise Applications Developer 4

- **Company:** The Ohio State University
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Health Informatics, Cloud Database, Data Architecture, Information Engineering, Distributed Computing Environment, Memory Management, Python (Programming Language), Software Engineering, Software Systems, SQL Databases, Cloud Platform System, Apache Spark, Backend, Information Technology, Data Management, Data Pipelines, Databricks, Programming Languages
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/11820211-12c5-4b08-ada4-1391081cb6b6

## About the Role

Requirements: Bachelor's degree in Computer Science, Data Science, Software Engineering, Data Engineering, Health Informatics, or a related field; 8 years of combined professional experience in software development and data engineering. That 8 years of experience must have included all of the following: designing, building, and optimizing complex, large-scale software systems and data platforms, including advanced data pipelines operating on very large datasets in healthcare and research environments; development using back-end programming languages (such as Python or Java) and SQL, and use of distributed computing frameworks such as Apache Spark; delivery of solutions on cloud-based data engineering platforms (e.g., Databricks) and integrating workflows across scientific high-performance computing (HPC) environments. (All experience may have been part-time, concurrent, and/or concurrent with education.) Requires successful completion of a background check.

## Description

Duties: serve as a senior individual contributor leading and executing the design, development, and optimization of complex, enterprise-scale biomedical research and health data and technology solutions that operate on very large and highly complex multimodal datasets; support translational and biomedical research by delivering secure, high-performance, and scalable technical solutions that enable clinical research, population-scale analytics, and advanced computational science; serve as a senior technical contributor to solution development for designing, developing, and maintaining complex, enterprise-grade healthcare and research technology solutions; contribute as a senior technical contributor to data architecture, with hands-on responsibility for the development and evolution of large-scale, production-grade data engineering solutions supporting healthcare and research use cases; develop and operate across cloud-based platforms (e.g., Azure, AWS), Data Engineering Platforms (e.g.
Databricks, Fabric), and high-performance computing (HPC) or supercomputing environments; design and optimize distributed data processing workflows operating at significant scale; lead performance tuning and optimization efforts for large-scale distributed data processing workloads by applying advanced techniques such as partitioning strategies, file layout optimization, execution tuning, memory management, and cost-aware compute configuration; troubleshooting; stay current with emerging technologies and best practices.


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