Enterprise Applications Developer 4

Ohio State University; Columbus (OH); Hybrid; USD 120,000 - 160,000; Full time

Job summary

The Ohio State University is seeking an Enterprise Applications Developer 4 for the College of Medicine, Research Information Technology in Columbus, Ohio. Hybrid or work-from-home options are permitted within the Columbus metro area, with occasional travel to university locations for meetings.

The role focuses on designing and delivering enterprise-scale biomedical data and healthcare technology solutions, operating across Azure, AWS, Databricks, and HPC environments to support translational

Qualifications

• Bachelor’s degree in a relevant field plus eight years of software and data engineering experience.
• Experience designing and optimizing large-scale software systems and data platforms.
• Proficiency with Python or Java, SQL, and distributed computing frameworks such as Apache Spark.

Responsibilities

• Lead design, development, and optimization of enterprise-scale biomedical data platforms.
• Develop cloud-based data workflows on Azure or AWS and HPC environments.
• Tune performance for large-scale distributed processing and manage data pipelines.
• Collaborate with research teams and ensure secure, scalable solutions.

Skills

Python

Java

SQL

Apache Spark

Databricks

Cloud platforms

HPC

Education

Bachelor's degree

Tools

Databricks

Azure

AWS

Job description

Job Title

Enterprise Applications Developer 4

Enterprise Applications Developer 4 for The Ohio State University, College of Medicine, Research Information Technology, Columbus, Ohio. Hybrid or work-from-home permitted within the Columbus, Ohio Metropolitan Statistical area. Travel to university locations in Columbus, Ohio for meetings may be required.

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.

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. EOE/AA/M/F/Vet/Disability Employer.

Location

Hamilton Hall (0038)

Position Type

Regular

Scheduled Hours

40

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

The university is an equal opportunity employer, including veterans and disability.