Senior Data Engineer - This is a full-time, 100% remote opportunity exclusive to candidates located in Brazil. You''ll be working with a fast-paced US-based company, leading innovations in sustainable commerce and data-driven operations. What Youll DoDesign, develop, and maintain robust, scalable data infrastructure across real-time and batch workloads. Build and support ML pipelines for model training, deployment, and monitoring. Collaborate cross-functionally with data scientists, engineers, and product teams to deliver high-performance data and ML solutions. Develop APIs and services for data ingestion, transformation, and querying. Ensure the reliability of ML systems through strong observability and operational tools. Contribute to architectural decisions and mentor team members. Tech Stack & Requirements5 years as a Data Engineer or MLOps Engineer. Strong experience with Python, Java, or Scala. Hands-on with GCP (preferred), AWS or Azure. Experience with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes). Familiarity with Apache Kafka, Spark, or similar tools is a big plus. Experience with ETL, CI/CD, git, and monitoring pipelines. Strong communication skills and fluency in English (written & spoken) is mandatory. Bachelor''s or Master''s degree in Computer Science or related fields. What We OfferTop-tier hourly rate paid in USDLong-term contract opportunityFully remote work collaborate with international teams from the comfort of your homeA high-impact role within a data-driven, mission-oriented company