Staff Data Engineer
Summary
Build and scale data pipelines, transform raw data with dbt, and deploy monitoring for analytics and ML in a cannabis-focused startup.
About the Company
Nabis is the #1 licensed cannabis wholesale platform in the world, supplying $1B+ worth of cannabis products annually from hundreds of brands to retailers across California, New York, and Nevada. Backed by Y Combinator and prominent investors, Nabis is building a technology-first platform to scale the entire cannabis industry.
Responsibilities
- Own the building, maintenance, and optimization of pipelines to ingest data from operational databases and third-party tools
- Architect efficient ingestion patterns for evolving schemas and high-volume data streams
- Use dbt to transform raw data into structured, production-ready schemas using SQL and Jinja
- Manage dbt deployments and CI/CD workflows
- Set up monitoring and alerting frameworks for ingestion routines and dbt builds
- Build data applications and internal tooling to empower decentralized self-service analytics and ML work
Requirements
- Proven experience building and scaling ingestion pipelines using APIs, CDC, and orchestrators
- Advanced proficiency in dbt, including production deployments and custom Jinja macros
- Strong hands‑on experience with cloud data systems like Snowflake, BigQuery, or Databricks
- Strong proficiency in Python or similar back‑end languages
- Experience with alerting infrastructure, Git, and CI/CD pipelines
Preferred Qualifications
- Experience with A/B testing and statistical computation infrastructure
- Background supporting ML pipelines or feature stores
- Experience configuring semantic views or unified metrics layers