Transform data into analysis-ready formats to empower both candidates and internal teams to make impactful, data-driven decisions. Design, build and maintain dbt data models that power candidate tools and internal analytics. Develop and maintain data workflows and pipelines using Airflow to orchestrate and automate ETL patterns and other data tasks. Collaborate across the Data, Product, and Engineering teams to define key metrics, business logic and ensure data accuracy. Own the end-to-end lifecycle of analytics-ready datasets, from ingestion to transformation to documentation. The Analytics Engineer will report directly to the Chief Technology Officer in this remote, full-time position.