Azure Data Engineer

  • Posted 10 days ago | Updated 2 hours ago

Overview

Remote
Accepts corp to corp applications
Contract - long term

Skills

Python
Serverless Architecture
Deployment
Pipeline
Continuous Integration/Delivery
Azure Devops
EPIC
Translate
Large-Scale
Application Development
automated testing
Data Pipelines

Job Details

Azure Data Engineer (Healthcare Provider Domain)

Willingness to work in early morning hours (6 AM 3 PM EST).

Experience:

  • Extensive experience in building scalable data engineering frameworks and applications on Azure.
  • Strong background in the US healthcare domain, with a focus on the provider segment.

Key Responsibilities:

  • Design and develop reusable, modular, and scalable data engineering frameworks in Python for data ingestion, transformation, and processing.
  • Build and manage Truveta feed pipelines from EPIC Clarity.
  • Develop data pipelines and workflows using Databricks and Airflow for orchestration.
  • Architect and deploy serverless solutions using Azure Function Apps to support large-scale data engineering tasks.
  • Implement and manage CI/CD pipelines with Azure DevOps, ensuring automated testing, deployment, and monitoring.
  • Collaborate with stakeholders to translate business needs into scalable data solutions.
  • Optimize data processing frameworks for performance and scalability.

Mandatory Skills:

  • EPIC Clarity experience with EPIC Certification.
  • Hands-on experience with Truveta feed pipelines.
  • Proficiency in Databricks, Airflow, and Azure Function Apps.
  • Strong Python development skills, particularly in data engineering and application development.
  • Experience with Azure DevOps and CI/CD pipeline implementation.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.