Senior Data Engineer
Core
Build trusted data systems and production data products supporting clinical operations, drug asset evaluation, business development, analytics, and machine learning for AI-enabled employees and agents.
Role type
Senior IC data engineer (pharma/biotech)
Builds
Production data pipelines, canonical data models, data products, and interfaces for clinical and business applications
Domain
Biotechnology / Pharmaceutical drug development
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Snowflake, Dagster, data modeling, data contracts, schema evolution, data quality testing, observability, lineage, incident response, Docker, GitHub, Terraform/OpenTofu
Preferred skills
Experience with validated computerized systems (CSV), AI tools (LLMs, agentic coding systems)
Technologies
Snowflake, Dagster, dbt, Docker, GitHub, Terraform, OpenTofu
Responsibilities
Design and operate production data systems ingesting clinical, operational, and third-party vendor data; Own shared and canonical data models, data contracts, transformations, orchestration, warehouse models, and downstream interfaces; Partner with Product Engineering on application data models, source-system contracts, APIs, events, and data access patterns; Partner with Data Science on productionized training datasets, feature pipelines, data interfaces, and ML use cases; Turn recurring data cleaning, normalization, and transformation work into versioned, tested, observable, and maintainable production pipelines; Build data products for clinical operations, asset evaluation, Business Development, analytics, machine learning, and AI Enabled Employees and Agents; Establish strong data quality, testing, freshness, completeness, lineage, documentation, and observability practices; Own data governance practices for sensitive and regulated data; Participate in support and incident response for data platform issues; Use AI tools to accelerate pipeline development, data modeling, debugging, documentation, and data quality investigation; Contribute to architecture and design reviews, mentor other engineers, and improve engineering practices
Seniority
Senior, hands-on IC
