Senior Software Engineer, Lead Data Engineering & Analytics
Core
Designing, building, and maintaining enterprise-level data engineering and analytics solutions to support scientific discovery and patient care in life sciences.
Role type
Senior Lead Data Engineer & Solution Architect
Builds
Data products, ETL/ELT pipelines, and data lakehouses for data platforms and analytics community
Domain
Life Sciences / Data Engineering & Cloud Architecture
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks expertise, AWS cloud architecture, Python, PySpark, SQL, data modeling, ETL/ELT pipeline development, data quality validation, stakeholder management, team mentorship, agile methodology
Preferred skills
Gen-AI automation, Cloudera Data Platform, Tableau, Azure/GCP experience, AWS Data Engineering certification, Life Sciences R&D domain knowledge
Technologies
Databricks, AWS (Glue, Redshift, Athena, LakeFormation), Python, PySpark, Scala, R, Pandas, PyTorch, MySQL, PostgreSQL, Presto, Cloudera Data Platform, Tableau
Responsibilities
Architect enterprise data solutions, manage multiple stakeholders, optimize data storage and retrieval, develop data models for reporting, ensure data quality and security, mentor team members, drive end-to-end ownership of data initiatives
Seniority
Senior, hands-on IC with leadership responsibilities
