Description

Key Responsibilities

• Design and develop full stack web applications for data ingestion, management, visualization, and labeling
• Build and maintain backend services and REST APIs to support data workflows
• Design and implement data pipelines for ingesting, transforming, and storing large datasets
• Integrate data from multiple external systems and sources
• Support longitudinal data tracking and versioning across datasets
• Collaborate closely with data scientists, R&D engineers, and domain experts
• Ensure performance, reliability, and maintainability of the platform
• Follow best practices for data security, privacy, and compliance

Required Skills & Qualifications
Full Stack Development

• Strong experience in full stack development (frontend and backend)
• Strong experience with C# and .NET (.NET Core / .NET Framework)
• Frontend: Strong experience with Angular (TypeScript, HTML, CSS)
• Experience with RESTful APIs and microservices architecture

Data Engineering

• Experience designing and building data pipelines (ETL/ELT)
• Strong data modeling skills
• Experience with PostgreSQL and NoSQL databases
• Familiarity with cloud based data storage and compute (Azure preferred)

Preferred / Nice to Have Skills

• Experience working with large imaging and time series datasets
• Exposure to healthcare, clinical, or regulated data environments
• Familiarity with data anonymization or pseudonymization techniques
• Experience supporting ML/AI data preparation workflows
• DevOps experience (CI/CD pipelines, containerization)

Key Skills

Education

Bachelor's degree