Data Engineer, Azure-based Health Data System - Remote

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Position Overview

The Data Engineer for our Azure-based Health Data System will be responsible for the design, development, and maintenance of our data architecture and pipelines. The ideal candidate will play a critical role in transforming raw health data into a structured and accessible format, enabling healthcare professionals to derive insights and make informed decisions. This role encompasses collaboration with cross-functional teams to ensure seamless data integration and the implementation of best practices in data governance and management.

Job Responsibilities

• Design and implement scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure SQL Database.
• Collaborate with data scientists and analysts to understand data requirements and ensure data availability and reliability.
• Optimize data architectures for performance and scalability, taking into consideration security and compliance standards in healthcare data management.
• Monitor and troubleshoot data flow issues, implementing solutions to enhance data accuracy and efficiency.
• Develop and maintain documentation for data models and processes to ensure transparency and facilitate knowledge transfer.
• Participate in data governance initiatives to maintain data integrity and ensure adherence to regulatory requirements.
• Continuously assess new technologies and methodologies to enhance operational efficiency and data management practices.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related field; Master’s degree preferred.
• Proven experience (3+ years) as a Data Engineer or in a similar role, preferably within the healthcare sector.
• Strong proficiency in Azure cloud services, particularly Azure Data Factory, Azure SQL Database, and Azure Databricks.
• Experience with ETL tools and data warehousing concepts.
• Solid understanding of SQL and data modeling techniques.
• Familiarity with programming languages such as Python or Scala for data manipulation and transformation.
• Knowledge of regulatory standards and compliance in data handling within the healthcare domain (e.g., HIPAA).
• Excellent problem-solving skills and the ability to work independently in a remote environment.

Technologies & Tools

The Data Engineer will regularly work with an array of technologies including, but not limited to, Azure Data Factory for data integration, Azure Databricks for data processing, Azure SQL Database for data storage, and various data visualization tools. Familiarity with RESTful APIs and data security frameworks will be beneficial for this role.

Ideal Candidates

The ideal candidates possess a strong analytical mindset, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders. They should demonstrate a proactive approach to problem-solving and a passion for utilizing data to improve healthcare outcomes. A supportive team player, they thrive in a collaborative environment and are committed to continuous learning and professional growth.