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Ohio State University
Enterprise Applications Developer 3
Python
Edtech.com's Summary
Ohio State University is hiring an Enterprise Applications Developer 3 to design and build enterprise-scale biomedical research and health sciences applications for the College of Medicine’s Research Information Technology group. The role blends software and data engineering, building backend services, APIs, and ETL/ELT pipelines that process large, complex research and healthcare datasets. The developer also works with infrastructure and DevOps teams to deploy and operate these systems across hybrid computing environments.
Highlights
- Design, develop, and optimize secure, scalable biomedical research and health sciences applications
- Build scalable backend services and APIs that integrate with large data platforms and research systems
- Develop frontend applications as needed to support researchers, analysts, and operational stakeholders
- Build secure ETL and ELT pipelines using medallion architecture (Bronze, Silver, Gold)
- Process large-scale batch and streaming workloads with Databricks, Python, and SQL
- Develop solutions across cloud platforms such as Azure and AWS and HPC/supercomputing environments
- Partner with infrastructure, platform, and DevOps teams to deploy and operate applications and pipelines
- Hybrid or work-from-home arrangement within the Columbus, Ohio metro area, with occasional travel to campus for meetings
- Requires a bachelor’s degree in Computer Science, Data Science, Software Engineering, Data Engineering, Health Informatics, or a related field
- 5 years of combined software development and data engineering experience, including work in enterprise biomedical research or healthcare environments
Enterprise Applications Developer 3 Full Description
Job Title: Enterprise Applications Developer 3
Enterprise Applications Developer 3 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
- Design, develop, and optimize secure, scalable biomedical research and health sciences applications that operate on very large datasets at enterprise scale
- Perform 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
- Design, 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 support solutions across cloud-based platforms (e.g., Azure, AWS), data engineering platforms (e.g. Databricks, Fabric) and high-performance computing (HPC) or supercomputing environments
- Work with 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
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.
Additional Information:
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.
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