• Build and operate batch and streaming pipelines to ingest data into our warehouse (we re currently using S3+Glue+Athena+Redshift)

• Build and operate full refresh and incremental pipelines to compute derived models (we re currently using dbt, python+pandas, and Spark)

• Partner with engineers, data analysts, and business stakeholders on building clean and complete data

• Our current tech stack includes dbt, Meltano, s3 and redshift. Where we go next and what we use will be driven by you!

REQUIREMENTS:

• Proficiency in SQL and Python is a must

• 3+ years of experience in a data-heavy engineering role

• Experience working at a tech startup or a high velocity engineering culture

• Previous experience working with dbt, singer taps and Docker is a huge plus

• Familiarity with Apache Iceberg/Tabular, Apache Arrow, Apache Superset is a plus

• Familiarity with Golang and/or Javascript is a plus