Full Stack Developer (Data Engineering)

Full Stack Developer (Data Engineering)

Job Description

Role Overview
We are seeking a Full-Stack Developer with strong experience in backend development using C#/.NET and frontend development using Angular, along with solid data engineering skills. This role will support the development and enhancement of a data platform used for ingesting, managing, and analyzing large-scale imaging and electrophysiology procedural datasets.
The ideal candidate is hands-on across the full stack and comfortable working with data pipelines, APIs, and scalable enterprise systems.

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)

Deliverables & Expectations
Scalable and reliable data ingestion and management capabilities
Well documented, production quality code
Improved support for longitudinal and multi source data workflows
Close collaboration with internal teams to meet project timelines

Notes:
8:00 AM - 5:00 PM
Onsite / Hybrid

VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.