Senior Data Engineer

**We're Hiring: Senior Data Engineer \| Remote from Brazil \| Fluent English required** **\|** **Location** : Remote – Brazil only **Contact:** Temporary Are you passionate about building scalable data platforms and cutting\-edge MLOps solutions? Do you want to work with a top\-tier US company revolutionizing e\-commerce and circular fashion? We're looking for a **Senior Data Engineer** with strong MLOps expertise to join our growing data engineering team. 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 You’ll 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