Sr. Data Engineer
Core
Designing and maintaining scalable data pipelines and data models to enable analytics, reporting, and business decision-making using Snowflake, dbt, and Fivetran.
Role type
Senior Data Engineer (Data Warehousing & ELT)
Builds
End-to-end data pipelines (ingestion, transformation, modeling) and consumption layers for BI dashboards
Domain
Life Sciences / Healthcare / Data Engineering
Required skills
Snowflake architecture, dbt (data build tool), Fivetran, dimensional modeling, Power BI, SQL, Python, GenAI/LLM concepts
Preferred skills
PySpark, Airflow/Dagster, SAP systems, LLM APIs (OpenAI/Azure/AWS), CI/CD practices
Technologies
Snowflake, dbt, Fivetran, Power BI, Python, PySpark, Airflow, Dagster, SAP
Responsibilities
Own the end-to-end data pipeline lifecycle from ingestion to consumption; Lead development of data engineering initiatives and mentor junior engineers; Design data models for operational reporting and self-service analytics; Pilot GenAI use cases to improve data engineering productivity; Collaborate with Analytics and BI teams to prototype new data solutions
Seniority
Senior, hands-on IC with leadership responsibilities
