Hearst
Application Developer
$85K–$100K
Carmel, IN, United States +2 · Full-time · Posted Oct 30, 2026
- Location
- Carmel, IN, United States
Durham, NC, United States
Carmel - Experience
- 3-5 years of software development experience with Python, Java, CSS, and HTML.
- Education
- Associate degree in MIS, CIS, Computer Science, or related field; equivalent professional experience may be considered.
About the job
Develop and maintain FDB’s Prizm medical-device database and data management system, including its web interface, integrations, ETL pipelines, and AI-enabled data workflows.
What you'll do
- Build, maintain, test, and improve the Prizm database, MDMS, and user-facing features.
- Develop and troubleshoot Python-based ETL, API, and data-integration workflows; validate and optimize medical-device data.
- Integrate and review AI-assisted code and AI-enabled automation, and collaborate on database performance, documentation, and production support.
What they ask for
- Proficiency developing, reviewing, testing, and debugging applications written in Python, Java, CSS, and HTML.
- Working knowledge of relational database design, data modeling, data integrity, workflow automation, and performance optimization.
- Experience with ETL/data integration, API troubleshooting, data mapping and validation, and ingestion of structured or semi-structured data.
- Ability to evaluate, develop, integrate, and validate AI-enabled tools or automation while maintaining human review and data quality.
Nice to have
- Experience with database-backed web applications, data management systems, ETL pipelines, Python automation, and API integrations.
- Experience with AI-enabled tools such as Cline or Cursor, FDA data sources, or production support workflows.
Pay
$85,000 — $100,000 USD (base salary)
Tools
Python, Java, CSS, HTML, Cline, Cursor
AI focus
Use AI-assisted development tools and develop or integrate AI-enabled automation to improve productivity, data throughput, consistency, validation, and quality; review AI-generated code before release.
Model-written summary · the original posting is authoritative