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.

Caderno Nacional