Data Engineer, Azure-based Health Data System (Remote)

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Job Overview

The Data Engineer for the Azure-based Health Data System at ICF will play a vital role in designing, building, and maintaining scalable data pipelines and frameworks. This position involves collaborating with cross-functional teams to ensure that health data is processed, stored, and made accessible in a reliable and efficient manner. The successful candidate will leverage Azure services to facilitate data integration and enhance analytical capabilities, ensuring adherence to best practices and compliance with health data regulations.

Job Responsibilities

• Design, develop, and manage data pipelines within the Azure environment.
• Implement data integration solutions using Azure Data Factory and Azure Databricks.
• Collaborate with data scientists and healthcare professionals to understand data requirements and translate them into technical specifications.
• Ensure data quality, integrity, and security conforming to healthcare regulations.
• Monitor and optimize system performance for data processing and storage.
• Participate in the design of data architecture, including database and cloud solutions.
• Provide troubleshooting and support for data-related issues.
• Document data processes and architectural decisions for transparency and compliance.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Minimum of 3 years of experience in data engineering or a related field.
• Proficiency in Azure services, particularly Azure SQL Database, Azure Data Factory, and Azure Databricks.
• Strong skills in programming languages such as Python, SQL, and/or R.
• Experience with ETL processes and data warehousing concepts.
• Understanding of healthcare data regulations such as HIPAA.
• Excellent problem-solving skills and ability to work in a collaborative team environment.
• Strong communication skills, both verbal and written.

Technologies & Tools

The Data Engineer will utilize a variety of technologies and tools to ensure effective management of health data, including, but not limited to, Azure Data Factory, Azure Databricks, Azure SQL Database, Power BI for visualization, and various programming languages such as Python and SQL. Familiarity with data modeling tools and frameworks is also advantageous in this role.

Ideal Candidates

The ideal candidate for this position is analytical and detail-oriented, with a strong passion for data-driven solutions in healthcare. They possess excellent interpersonal skills that foster collaboration across teams and demonstrate the ability to manage multiple tasks and deadlines efficiently. A proactive approach to problem-solving and a commitment to maintaining the highest data integrity standards will set successful candidates apart. They should also show a willingness to continuously learn and adapt to new technologies and methodologies in the evolving field of health data engineering.