Data Generalist with Python, Postgres, Redshift, DBT, Docker, Spark

I'm a "data generalist"—I can build a modern data stack on my own: data warehouse, ETL framework, analytics eng, DBT, basic ML and DS, streaming, etc. I have five years of experience across various data roles. My preference would be to work on a DS or data/ML-intensive products, at a smaller company. Also interested in full-stack or pure backend eng on data-intensive products. Top priority is to work on a product in an effective org with effective people.