Full Stack Dev with Data Engineering - Healthcare Platform

ManpowerGroup

Little Canada (MN)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Weekly Pay
Medical Plans
Dental Plan
Vision Plan
401(k) with Match

Job summary

ManpowerGroup is seeking a Full Stack Developer with Data Engineering Experience to join a healthcare and data platform team in Little Canada, MN. You will design and build data ingestion, processing, and visualization capabilities to support large-scale imaging datasets.

The role requires strong C#, .NET, and Angular skills, plus ETL/ELT data pipelines, data modeling, and Azure storage. You will collaborate with data scientists and R&D engineers to deliver secure, scalable solutions.

Qualifications

  • Must have strong full stack development experience with backend and frontend
  • Proficient in C# and .NET (.NET Core / .NET Framework)
  • Experience designing data pipelines (ETL/ELT) and data modeling

Responsibilities

  • Design and develop full stack web applications for data ingestion, management, visualization, and labeling
  • Build and maintain robust backend services and REST APIs to support complex data workflows
  • Design and implement efficient data pipelines for ingesting, transforming, and storing large datasets
  • Integrate data from multiple external systems to ensure seamless data flow
  • Collaborate with data scientists, R&D engineers, and domain experts to optimize platform capabilities

Skills

Full stack development
C# / .NET
Angular
REST APIs
ETL/ELT pipelines
Data modeling
Azure cloud
PostgreSQL
NoSQL databases

Tools

PostgreSQL
NoSQL databases
Azure

Job description

ManpowerGroup is seeking a Full Stack Developer with Data Engineering Experience to join a healthcare and data platform team in Little Canada, MN. You will design and build data ingestion, processing, and visualization capabilities to support large-scale imaging datasets.

The role requires strong C#, .NET, and Angular skills, plus ETL/ELT data pipelines, data modeling, and Azure storage. You will collaborate with data scientists and R&D engineers to deliver secure, scalable solutions.

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