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At the heart of our Data Team, Data Engineers create the pipelines and tables that power business-critical dashboards, enable self-service analytics, and fuel advanced machine learning models and real-time data products. Working with cutting-edge tools like DBT, Spark, and Airflow, you’ll transform high-volume raw event data into user-friendly, high-impact datasets.
We work cross-functionally with Machine Learning Engineers, Data Scientists and BI Developers, driving data-driven decisions across the business. Our engineers enjoy autonomy, innovation, and continual learning, with structured progression paths and access to training resources.
As a Senior Data Engineer you will..
• Design and build scalable data pipelines, data models, and feature stores tosupport analytics and ML workloads.
• Deploy and manage cloud-native data applications on AWS using CI/CD pipelines to automate builds, testing, and releases.
• Ensure the technical quality, performance, and reliability of production-grade data pipelines through strong observability and engineering best practices
You'll no longer be considered for this role and your application will be removed from the employer's inbox.