Senior Data Engineer

Responsibilities: Design, develop, and maintain scalable data infrastructure and ETL/ELT pipelines to transform complex healthcare data into actionable insights. Collaborate with cross-functional teams to optimize data warehouse performance and support data democratization initiatives.

Requirements: Requires 6-8+ years of experience in data engineering with deep expertise in Snowflake, Airflow, dbt, SQL, and Python. Candidates should have strong experience with AWS cloud services and CI/CD practices, preferably within the healthcare domain.

Key skills: Snowflake, Apache Airflow, dbt, SQL, Python, AWS, CI/CD, ETL/ELT Pipelines, Data Architecture, Data Warehousing, Kubernetes, Terraform, Docker, Kafka, GitHub Actions, Jenkins

Keywords: Data Engineering, Snowflake, Apache Airflow, dbt, SQL, Python, AWS, ECS, S3, RDS, Kubernetes, Terraform, Docker, Kafka, CI/CD, GitHub Actions, Jenkins, ETL, ELT, Data Lake, Data Warehouse, Healthcare Data, Claims Data, Clinical Data, Tableau, ThoughtSpot, Data Quality, Data Architecture, Scalability, Remote Work