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 Do- Design, 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 & Requirements- 5 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 Offer- Top-tier hourly rate paid in USD- Long-term contract opportunity- Fully remote work collaborate with international teams from the comfort of your home- A high-impact role within a data-driven, mission-oriented company-