Senior Data Engineer

50 minutos atrás

Araraquara, Brasil Pride Global Tempo inteiro

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

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