Senior Data Engineer
Core
Designing and building scalable data architectures and pipelines to ingest, transform, and load noisy, heterogeneous biological data at scale for drug discovery and development. (via careerplan.io/jobs/37-009-1C-17C-senior-data-engineer)
Role type
Senior Data Engineer (AI-native infrastructure)
Builds
Scalable data pipelines, data warehouse systems, and production-grade components for AI/ML systems
Domain
Biotechnology / Healthcare / AI-driven drug discovery
Deliverable
production ML models
Required skills
Python, SQL, data orchestration, data warehousing, ETL tools, cloud environments, system design
Preferred skills
BigQuery, NoSQL databases, HDFS, biotech/healthcare data experience
Technologies
Apache Spark, Apache Airflow, Dagster, MySQL, PostgreSQL, Oracle, BigQuery, HDFS
Responsibilities
Design and maintain data pipelines for single-cell sequencing, genomic, and clinical data; enhance data warehouse for analytics; implement scientific algorithms as pipeline components; drive AI-native data infrastructure; implement data governance policies; mentor data engineers on AI-assisted development
Seniority
Senior, hands-on IC
