 
        
        Senior Data Engineer
We are seeking a highly skilled Senior Data Engineer with strong MLOps expertise to join our data engineering team.
This is a full-time, 100% remote opportunity for candidates located in Brazil.
 * 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.
Requirements
The ideal candidate will have:
 * 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
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.