Data Engineer
Core
Building and maintaining ETL/ELT pipelines, data lakehouses, and real-time ingestion architectures to support data platforms and analytics for scientific discovery and patient care.
Role type
Senior Data Engineer (Cloud & DataOps)
Builds
Scalable data infrastructure, data pipelines, and analytics capabilities for the Data Platform team.
Domain
Life Sciences / Healthcare / Cloud Data Engineering
Required skills
Python, PySpark, Scala, SQL, AWS (Glue, Lambda, S3, Redshift, Athena), Databricks, CloudFormation, boto3, GitHub Actions, DataOps, ETL/ELT design, Data Quality, API development
Preferred skills
Tableau, Cloudera Data Platform, PyTorch, Pandas, Lifesciences R&D domain experience, Agile/Product environment experience
Technologies
AWS, Databricks, Cloudera, Tableau, GitHub, Python, Scala, SQL, PySpark
Responsibilities
Develop and maintain ETL/ELT pipelines for data ingestion; Optimize data storage and retrieval for performance and scalability; Collaborate with data architects, analysts, and scientists to support data needs; Ensure data quality and integrity through validation and testing; Implement and maintain security protocols for sensitive data; Design and build real-time data ingestion pipelines; Identify and implement process improvements for automation and scalability.
Seniority
Senior, hands-on IC