Staff Data Engineer: High-Volume Pipelines & ML Tools
Summary
Build and maintain high-volume data pipelines and ML-ready datasets using Python, SQL, dbt, and Snowflake/BigQuery/Databricks to power analytics and AI workflows.
Nabis is seeking an experienced Data Engineer to own data ingestion pipelines and products that feed analytics and ML workflows. You will design, deploy, and monitor ingestion from operational databases and third-party tools, using dbt and SQL to deliver clean, production-ready data models.
Ideal candidates will have strong Python skills, hands-on experience with Snowflake/BigQuery/Databricks, and a track record building scalable data architectures with robust CI/CD and alerting.