Sr. Healthcare Data Engineer - Remote

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Overview

The Sr. Healthcare Data Engineer at Get It Recruit - Information Technology will play a pivotal role in advancing our healthcare data management capabilities. This position involves designing, developing, and optimizing data engineering processes while collaborating with various stakeholders to ensure data integrity, availability, and usability. The successful candidate will implement best practices for data handling and analysis within a remote work environment, contributing to the overall improvement of healthcare outcomes through effective data solutions.

Job Responsibilities

• Design and implement scalable data pipelines and architectures to facilitate data collection and analysis.
• Collaborate with healthcare professionals and IT teams to understand data requirements and integrate suitable data solutions.
• Develop ETL processes to ensure data quality and system performance in support of healthcare analytics.
• Monitor and troubleshoot existing data systems, providing timely resolution to ensure smooth operational efficiency.
• Utilize data modeling techniques to structure and organize healthcare data to meet analytical objectives.
• Document and maintain comprehensive documentation of data processes and architecture.
• Stay abreast of industry trends and best practices related to healthcare data management and engineering.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; advanced degree preferred.
• A minimum of 5 years of experience in data engineering, preferably within a healthcare setting.
• Proficient in programming languages such as Python, Java, or Scala.
• Strong experience with data warehousing, ETL tools, and frameworks such as Apache Spark or Talend.
• In-depth knowledge of database management systems including SQL and NoSQL databases.
• Familiarity with cloud technologies such as AWS, Azure, or Google Cloud Platform.
• Understanding of healthcare data standards and regulations (e.g., HIPAA, HL7, FHIR).

Technologies & Tools

This position requires proficiency in a variety of technologies and tools to effectively manage healthcare data. The candidate should be comfortable using data processing frameworks such as Apache Spark, ETL tools like Talend, cloud services including AWS and Azure, and database technologies such as PostgreSQL and MongoDB. Familiarity with data visualization tools is also beneficial to facilitate clear reporting and insights from complex datasets.

Ideal Candidates

The ideal candidate for the Sr. Healthcare Data Engineer position possesses a strong analytical mindset and is detail-oriented, with a passion for using data to drive decision-making. They should have excellent communication skills to interact effectively with both technical and non-technical stakeholders. A proactive approach to problem-solving and a commitment to continuous learning and improvement in the rapidly evolving field of healthcare data is essential. Additionally, a sense of collaboration and teamwork is vital for success in this remote work environment.