Senior Data Engineer

1 semana atrás

Salvador, Bahia, Brasil Pride Global Tempo inteiro

We're Hiring: Senior Data Engineer (MLOps) | Remote from Brazil | Fluent English required | USD-Hourly pay

Location: Remote – Brazil only

Language: Fluent English required

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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