Enterprise Applications Developer 3

The Ohio State University; Columbus (OH); Hybrid; USD 90,000 - 130,000; Full time

Job summary

The Ohio State University, College of Medicine, Research Information Technology in Columbus, Ohio, seeks an Enterprise Applications Developer 3 to design, develop, and optimize secure, scalable biomedical research applications that handle very large datasets.

You will build enterprise-grade healthcare and research software, APIs, and services, develop backend data pipelines using Python, SQL, and modern platforms like Databricks, and collaborate with cloud teams on Azure and AWS in a hybrid or

Qualifications

• Bachelor’s degree in a related field with 5 years of software development and data engineering experience.
• Experience building secure, scalable software and data pipelines in enterprise biomedical healthcare environments.
• Proficiency with Python/Java and SQL; experience processing large datasets with distributed computing.
• Experience with cloud platforms and familiarity with HPC or distributed environments.

Responsibilities

• Design, develop, and optimize secure, scalable biomedical research and health sciences applications.
• Build backend services that integrate with large data platforms and research systems.
• Develop ETL/ELT pipelines for ingesting and curating large datasets using modern data architectures.
• Leverage Databricks and cloud platforms to process large-scale batch and streaming workloads.
• Collaborate with infrastructure, platform, and DevOps teams to deploy and operate applications in hybrid environments.

Skills

Python

Java

SQL

Education

Bachelor’s degree in Computer Science, Data Science, Software Engineering, Data Engineering, Health Informatics, or a related field

Tools

Databricks

Fabric

Azure

AWS

HPC

Job description

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; 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.

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

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

Equal Opportunity

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