Sr. Healthcare Data Engineer - Remote | WFH

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Job Overview

The Senior Healthcare Data Engineer will play a crucial role in the development, implementation, and maintenance of data solutions tailored to the healthcare sector. This position involves working closely with cross-functional teams to design data pipelines, ensure data integrity, and optimize performance while utilizing advanced analytics and data management tools. The ideal candidate will have a strong background in data engineering and a deep understanding of healthcare data systems, providing actionable insights that drive operational efficiency and support clinical decision-making.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines that support healthcare analytics and reporting.
• Collaborate with stakeholders to understand data requirements and translate them into technical specifications.
• Ensure data quality and integrity through rigorous validation and cleaning processes.
• Optimize existing data processes to enhance performance and reduce costs.
• Implement data governance and security measures compliant with healthcare regulations.
• Assist in the integration of various healthcare data sources and systems for a unified data approach.
• Provide ongoing support and troubleshooting of data issues for internal users.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field; Master’s degree preferred.
• 5+ years of experience in data engineering, with a focus on healthcare data systems.
• Strong proficiency in SQL and experience with cloud-based data solutions (AWS, Azure, Google Cloud).
• Hands-on experience with data warehousing, ETL processes, and data modeling.
• Familiarity with healthcare standards such as HIPAA and HL7.
• Solid understanding of data visualization tools (Tableau, Power BI, etc.) is a plus.
• Strong analytical and problem-solving skills, with attention to detail.

Technologies & Tools

The Senior Healthcare Data Engineer will utilize a diverse array of technologies and tools including, but not limited to, SQL databases, cloud platforms (AWS, Azure, Google Cloud), Apache Spark, ETL tools (Talend, Informatica), and data visualization applications (Tableau, Power BI). Familiarity with programming languages such as Python or R is also beneficial for data analysis and machine learning tasks.

Ideal Candidates

Successful candidates for this position will possess a proactive mindset and a passion for leveraging data to improve healthcare outcomes. Ideal applicants should demonstrate strong communication skills, allowing for effective collaboration with various departments and stakeholders. A problem-solving orientation, coupled with a commitment to data integrity and compliance, will be essential for thriving in this role. The ability to adapt to a fast-paced, evolving technological landscape while remaining focused on the end goal of enhancing healthcare services will distinguish top performers in this position.