Data Engineer II

Job Summary

To support clinical and operational decision-making, the fully remote Data Engineer II will design, build, and maintain scalable data infrastructure, develop ETL/ELT pipelines, and collaborate with analytics teams to ensure high-quality data delivery.

Key responsibilities:

• Design, develop, and maintain robust ETL/ELT data pipelines using Python, SQL, and relevant data processing frameworks
• Implement data quality checks and monitoring to ensure data integrity across all pipelines
• Contribute to the design and maintenance of the data warehouse and data lake solutions, ensuring compliance with data security standards

Required qualifications:

• 3+ years of experience in designing and deploying data pipelines and data warehouse solutions
• Strong proficiency in SQL and Python for data engineering tasks
• Hands-on experience with cloud data warehouses, particularly Amazon Redshift
• Understanding of HIPAA compliance and experience with sensitive data
• Familiarity with AWS services relevant to data engineering, such as S3 and Glue