Senior Data Engineer

📋 Description Extend, scale, monitor, and manage hundreds of integrations reliably. Own and implement new connections across our integrations. Optimize AI pipelines for reliability and performance. ML experience in classification, clustering, time series, anomalies. Host and monitor NLP models and LLMs for real-time and batch inference. Develop monitoring systems and support innovative solutions. 🎯 Requirements Strong Python skills with production services or APIs; third-party API experience. SQL, ETL, and data modeling; ML solution lifecycle knowledge. Understand ML concepts and communicate with AI/Data Scientists. Docker, Git, cloud networking and security; Kubernetes is a plus. AI infrastructure on AWS/GCP, including SageMaker and Vertex. Airbyte experience is a significant advantage. 🎁 Benefits Fully remote with flexible core hours. In-person meetups and regular remote team events. Generous vacation policy. Growth opportunities and ongoing development. Dynamic, inclusive culture. Stock options in an early-stage startup.