Senior Data Engineer

Pride Global; Belo Horizonte; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A top-tier US company is seeking a Senior Data Engineer for a full-time, 100% remote role based in Brazil. The ideal candidate will have strong expertise in MLOps and data engineering, with a passion for building scalable data platforms. Responsibilities include designing data infrastructure and collaborating with cross-functional teams to deliver innovative data solutions. Offers a competitive hourly rate and opportunities to work on impactful projects in a dynamic environment.

Serviços

Top-tier hourly rate paid in USD

Long-term contract

Fully remote work

Qualificações

• 5+ years as a Data Engineer or MLOps Engineer.
• Strong experience with Python, Java, or Scala required.
• Fluency in English (written & spoken) is mandatory.

Responsabilidades

• Design, develop, and maintain robust, scalable data infrastructure.
• Build and support ML pipelines for model training, deployment, and monitoring.
• Contribute to architectural decisions and mentor team members.

Conhecimentos

Data Engineering

MLOps

Python

Java

GCP

AWS

BigQuery

TensorFlow

Docker

Kubernetes

Formação académica

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

Ferramentas

Apache Kafka

Spark

Descrição da oferta de emprego

We’re Hiring: Senior Data Engineer | Remote from Brazil | Fluent English required

Location: Remote – Brazil only

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
• 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, and a high‑impact role within a data‑driven, mission‑oriented company.