Data Engineer, Azure-based Health Data System - Remote

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Overview

The Data Engineer role at Get It Recruit - Information Technology is primarily focused on the development and maintenance of a scalable Azure-based health data system. The successful candidate will be responsible for designing data pipelines, ensuring data integrity, and optimizing data flow from various healthcare sources. This position requires collaboration with data scientists and healthcare stakeholders to implement data models that support analytical use cases and enhance decision-making processes. The role will be performed remotely, offering flexibility in work arrangements while contributing to impactful healthcare data initiatives.

Job Responsibilities

• Design, build, and maintain robust data pipelines for the health data system using Azure services.
• Ensure data integrity, quality, and availability across multiple sources and systems.
• Collaborate with data analysts and healthcare professionals to understand and translate requirements into data models.
• Optimize ETL processes for performance and scalability to accommodate growing datasets.
• Implement data governance practices to protect sensitive health information and comply with regulations.
• Conduct regular performance tuning and monitoring of data systems for continuous improvement.
• Document data flows, transformations, and processes to ensure transparency and reproducibility.
• Stay updated with Azure technologies and best practices to enhance existing data solutions.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3-5 years of experience as a Data Engineer or in a similar role.
• Strong experience with Azure Data Factory, Azure SQL Database, and Data Lake.
• Proficient in SQL and Data Modeling techniques.
• Experience with programming languages such as Python or Scala.
• Understanding of data warehousing concepts and architecture.
• Familiarity with healthcare data standards such as HL7, FHIR, or similar.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The Data Engineer position utilizes a range of current technologies and tools to support health data initiatives. Key technologies include Microsoft Azure components, particularly Azure Data Factory, Azure SQL Database, Azure Blob Storage, and Azure Data Lake. Alongside these, the role may employ Python for data manipulation and SQL for database management, ensuring efficient data processing and retrieval to meet business needs.

Ideal Candidates

The ideal candidate for this Data Engineer position will possess strong analytical skills and a passion for working with healthcare data. They should demonstrate a proactive approach to problem-solving, showcasing their ability to deliver clean and reliable data in a fast-paced environment. Excellent communication skills are also vital, as the role involves significant collaboration with cross-functional teams. A commitment to continuous learning and adapting to new technologies will ensure success in this rapidly evolving field.