Senior Healthcare Data Engineer

Sensiple - New York, NY

Full-time - Senior

Remote - New York, NY

Professional, Scientific, and Technical Services

About the position

The Senior Healthcare Data Engineer is responsible for building and maintaining data pipelines, ensuring the smooth operation of data systems, and optimizing workflows to meet business requirements. This role supports data integration and processing for various applications, particularly within the healthcare domain.

Responsibilities

• Develop and maintain data pipelines and ETL processes to manage large-scale datasets.
• Collaborate to design & test data architectures to align with business needs.
• Implement and optimize data models for efficient querying and reporting.
• Assist in the development and maintenance of data quality checks and monitoring processes.
• Support the creation of data solutions that enable analytical capabilities.
• Contribute to aligning data architecture with overall organizational solutions.

Requirements

• 9+ years overall IT experience with a minimum of 4 years in relevant tech skills.
• Proficient in Python scripting and PySpark for data processing tasks.
• Strong SQL capabilities with hands-on experience managing big data using ETL tools like Informatica.
• Experience with the AWS cloud platform and its data services, including S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, and EventBridge.
• Skilled in BASH/Shell scripting.
• Understanding of data lakehouse architecture, particularly with Iceberg format.

Nice-to-haves

• Experience with Kafka and Mulesoft API.
• Understanding of healthcare data systems.
• Experience in Agile methodologies.
• Strong analytical and problem-solving skills.
• Effective communication and teamwork abilities.

Benefits

• Equal Opportunity Employer
• Consideration for employment without regard to gender, race, colour, religion, sex, national origin, veteran or disability status.