Senior Enterprise Data & Applications Engineer - Hybrid

Ohio State University; Columbus (OH); Hybrid; USD 120,000 - 150,000; Full time

Job summary

The Ohio State University seeks an Enterprise Applications Developer 4 to lead the design, development, and optimization of large-scale biomedical research and health data solutions. You will work on secure, scalable platforms that support clinical research, population analytics, and computational science.

You'll develop and operate on cloud platforms (Azure, AWS), Databricks, Spark, and HPC environments, designing distributed workflows and tuning performance for big-data workloads.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 8+ years designing, building and optimizing large-scale software systems and data platforms.
• Experience with Python or Java, SQL, and distributed computing like Apache Spark.
• Experience on cloud platforms Databricks and HPC workflows.

Responsibilities

• Lead the design, development, and optimization of enterprise-scale biomedical data solutions.
• Develop secure, high-performance data pipelines operating on large datasets.
• Contribute as a senior technical lead for data architecture and cloud/HPC integration.
• Collaborate across teams to deliver scalable, production-grade healthcare tech solutions.

Skills

Data engineering

Big data processing

Python/Java

SQL

Cloud computing

Performance optimization

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Apache Spark

Azure

AWS

HPC environments

Job description

The Ohio State University seeks an Enterprise Applications Developer 4 to lead the design, development, and optimization of large-scale biomedical research and health data solutions. You will work on secure, scalable platforms that support clinical research, population analytics, and computational science.

You'll develop and operate on cloud platforms (Azure, AWS), Databricks, Spark, and HPC environments, designing distributed workflows and tuning performance for big-data workloads.