Build efficient and robust data pipelines for large volumes of data, from internal databases and SaaS applications, using Fivetran, Airbyte or Python. Develop and optimize transformation data models using Redshift, Dbt, Dagster and other tools. Monitor and maintain our cloud data warehouse (Redshift) with timely and quality data. Set and ensure data engineering standards as part of the department goals. Collaborate with other teams to ensure data engineering needs/requests are addressed.
Job listings
The Data Analyst will build data tables and dashboards to enable further monitoring of our Technical Content team’s core metrics and content performance. In addition, you will update existing queries to improve performance and quality of output. This is up to 40 hours per week, with flexibility available.
As a Senior AWS Data Engineer, you will build, maintain, and scale our core data infrastructure across Redshift, Airflow, and AWS. You will work closely with both Platform and Product Engineering teams to ensure our data systems are secure, reliable, and easy to work with. This role involves productizing our internal data services, reducing internal friction, and turning our data architecture into a key market differentiator.