The Daily Beast needs to leverage data more effectively for decision-making across editorial, product, and revenue, requiring a Data Engineer to build and manage the necessary data infrastructure and explore creative data utilization.
Requirements
- implementing a modern data stack using BigQuery, dbt, and Dagster
- Experience with cloud data warehouses, transformation tools, orchestration platforms, and ingestion tools
- You actively use AI tools to accelerate your work—you see AI as a productivity multiplier, not a crutch
- migrating some data outliers to GCP
- building data pipelines, ETL/ELT workflows, and working with production data systems
- build reliable pipelines
- create the systems that will scale with us
Responsibilities
- Own Our Data Infrastructure – Take ownership of how we collect, store, and transform data.
- migrating some data outliers to GCP and implementing a modern data stack using BigQuery, dbt, and Dagster
- Enable Data-Driven Strategy – Your work will directly impact how leadership makes decisions about editorial content, revenue strategy, and product direction.
- Evaluate and Implement Vendor Solutions – Research, test, and recommend tools for our data stack.
- Define Our Data Future – Establish best practices, build reliable pipelines, and create the systems that will scale with us.
- Find Creative Uses for Data – Look for opportunities to surface more sources of data and automate workflows to save everyone time.
- building data pipelines, ETL/ELT workflows, and working with production data systems
Other
- This role reports directly to the CTO, who will be reviewing applications directly - no recruiters in between.
- You're pragmatic and outcome-driven.
- You thrive in environments where you can take ownership, make decisions, and see direct impact - not ones where you're drowning in process.
- You're fluent with AI tools and use them to work faster and smarter - writing code faster, debugging more efficiently, and exploring solutions more quickly.
- Strong communication skills with both technical and non-technical stakeholders
