Senior Data Engineer
Core
Design, build, and maintain production-grade data pipelines and architecture for scientific, clinical trial, and manufacturing process data in the life sciences sector.
Role type
Senior hands-on IC data engineer (life sciences)
Builds
Scalable data platforms and pipelines for drug discovery and manufacturing operations
Domain
Life Sciences (Clinical Informatics & Process Engineering)
Deliverable
production ML models | product features
Required skills
Python, PySpark, SQL, Databricks, Snowflake, AWS/Azure, Airflow, dbt, ETL/ELT, OT/SCADA/MES data integration
Preferred skills
GxP regulatory compliance, CDISC/SDTM standards, multi-omics data handling, chemical engineering domain knowledge
Technologies
Databricks, Snowflake, AWS, Azure, PySpark, Airflow, dbt, OSIsoft PI, SCADA, MES
Responsibilities
Design and build data pipelines for clinical trial and research informatics data; Ingest and harmonize manufacturing process datasets (API, batch, MES, SCADA); Establish engineering best practices and data modeling standards; Partner with process engineers and scientists to translate operational needs into technical specs.
Seniority
Senior, hands-on IC