Senior Data Engineer

Pride Global; Taboão da Serra; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A top-tier technology company is seeking a Senior Data Engineer to build and maintain scalable data platforms and cutting-edge MLOps solutions. This remote role exclusively requires candidates located in Brazil and demands strong MLOps expertise and fluency in English. The position offers top-tier hourly rates paid in USD and a high-impact role within a data-driven organization.

Serviços

Top-tier hourly rate paid in USD

Long-term contract opportunity

Fully remote work

High-impact role

Qualificações

• 5+ years as a Data Engineer or MLOps Engineer.
• Strong communication skills and fluency in English (written & spoken) is mandatory.

Responsabilidades

• Design, develop, and maintain robust, scalable data infrastructure.
• Build and support ML pipelines for model training and monitoring.
• Collaborate with teams to deliver data and ML solutions.
• Develop APIs for data ingestion and transformation.
• Ensure reliability of ML systems through observability.
• Contribute to architectural decisions and mentor team members.

Conhecimentos

Python

Java

Scala

GCP

AWS

Azure

BigQuery

TensorFlow

PyTorch

Docker

Kubernetes

Apache Kafka

Spark

ETL

CI/CD

git

Formação académica

Bachelor's or Master's degree in Computer Science or related fields

Descrição da oferta de emprego

We're Hiring: Senior Data Engineer | Remote from Brazil | Fluent English required | Location: Remote – Brazil only.

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.

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.
• 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.