Data Engineer

Build and expose the data lake/lakehouse so teams can understand business and product performance and make better decisions.
 

Design and evolve a data platform that enables scientists and analysts to query, model, and ship features and product metrics.
 

Develop scalable and reliable batch and streaming pipelines that ingest from varied sources and land trusted datasets.
 

Maintain and fix existing ETLs, improving reliability, observability, and cost while planning safe backfills and replays.
 

Model curated layers and maintain transformation logic (e.g., dbt), including testing, documentation, and data quality.
 

Build with Infrastructure as Code (e.g., Terraform) and contribute to CI/CD and deployment practices.
 

Partner with Engineering, and Data Science to deliver low-latency signals and features for real-time decisioning.
 

• Contribute to internal tools, reusable components, and simple dashboards that unblock self-service.