For further inquiries about this opportunity please contact one of our Talent Specialists Lavanya at (or) Ragu at .
Title: Full Stack Developer (.Net) - Hybrid Duration: 12 Months (with possible extension) Location: St. Paul MN
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Job Description:
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# (.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
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
About us: DivIHN the IT Asset Performance Services organization provides Professional Consulting Custom Projects and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization Specialization and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race color religion (creed) gender gender expression age national origin (ancestry) disability marital status sexual orientation or military status.
For further inquiries about this opportunity please contact one of our Talent Specialists Lavanya at (or) Ragu at . Title: Full Stack Developer (.Net) - Hybrid Duration: 12 Months (with possible extension) Location: St. Paul MN Only W2 candidates are eligible for this position. Third-party or C...
For further inquiries about this opportunity please contact one of our Talent Specialists Lavanya at (or) Ragu at .
Title: Full Stack Developer (.Net) - Hybrid Duration: 12 Months (with possible extension) Location: St. Paul MN
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Job Description:
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# (.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
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
About us: DivIHN the IT Asset Performance Services organization provides Professional Consulting Custom Projects and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization Specialization and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race color religion (creed) gender gender expression age national origin (ancestry) disability marital status sexual orientation or military status.