About this role
Data Engineer, Machine Learning at Sesame. Location: San Francisco, California, United States. Role: building pipelines, maintaining infrastructure, ensuring quality Requirements: 5+ years data engineering experience supporting ML teams; strong SQL and Python; experience building ETL/ELT pipelines, orchestration (Airflow/Dagster/Prefect), dataset versioning, and working with unstructured audio/text data. Category: Data and Analytics Seniority: Senior Level Tools: SQL, Python, Airflow, Dagster, Prefect, Ray, Spark, Kubernetes, GKE, EKS Commitment: Full Time Workplace: Onsite Languages: English