As the Data Engineer on the Data Engineering team, you will lead our critical efforts to make our business data continually available and useful to all teams across the organization. You will ensure that our efforts effectively scale in line with rapid growth in the business and team. You will design and implement the systems that connect our vendored SaaS tools with each other, our production application and our data warehouse. You will both own existing data pipelines and launch new ones, as well as improve and scale our data warehouse. We currently use Snowflake, DBT and Prefect, among various IPaaS/ ETL tools, to power our Looker instance. You’ll partner with key stakeholders across the business, including Data Science, Rev Ops and Growth teams. Though we work closely with Engineering, in this role, you will own the architecture, implementation and deployment of systems that support our broader data needs. All positions at Postscript are fully remote.