Data Engineer, Azure-based Health Data System - Remote | WFH

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Overview

The Data Engineer for the Azure-based Health Data System will play a crucial role in designing, implementing, and maintaining data pipelines and architectures that support healthcare data management and analytics. This remote position demands a strong understanding of data engineering principles, particularly in Azure cloud services, as well as experience in building scalable data solutions that ensure data quality and accessibility for stakeholders. The successful candidate will collaborate with cross-functional teams to gather requirements, optimize data flows, and ensure compliance with health regulations while maintaining high standards of performance and reliability.

Job Responsibilities

• Design and develop robust data pipelines in Azure to support healthcare analytics and reporting.
• Implement ETL (Extract, Transform, Load) processes to transform raw healthcare datasets into usable formats.
• Ensure data quality and integrity through data validation and cleansing operations.
• Collaborate with data scientists and analysts to understand data needs and provide appropriate solutions.
• Monitor and optimize the performance of data systems and related applications.
• Maintain documentation for data architecture processes and data flow diagrams.
• Work closely with IT and cybersecurity teams to enforce data governance standards and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering or a related role, particularly with Azure services.
• Proficient in programming languages such as Python, SQL, and Java.
• Experience with data modeling tools and ETL frameworks.
• Strong understanding of data warehousing concepts and data lake architectures.
• Knowledge of healthcare compliance standards such as HIPAA.
• Excellent analytical and problem-solving skills.
• Strong communication skills and ability to work in a collaborative team environment.

Technologies & Tools

The Data Engineer will primarily work with Azure-based technologies such as Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Blob Storage. Additionally, experience with data visualization and reporting tools such as Power BI may be beneficial. Familiarity with version control systems like Git and collaborative tools such as JIRA will also be essential for project management and team collaboration.

Ideal Candidates

An ideal candidate for this position will possess a strong analytical mindset, an eagerness to tackle complex data challenges, and a proactive approach to finding innovative solutions. They should be adaptable, with the ability to work independently in a remote setting while maintaining effective communication with team members. A passion for healthcare data and its potential to drive meaningful outcomes in patient care will also align them with the mission and values of the organization.