Senior Data Engineer

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

Resumo da oferta

A top-tier US company is seeking a Senior Data Engineer to join their remote team in Brazil. This full-time role involves designing scalable data infrastructure and building ML pipelines while collaborating with cross-functional teams. It requires at least 5 years of experience in data engineering, strong proficiency in Python or Java, and fluency in English. The role offers competitive pay in USD and the flexibility of full remote work.

Serviços

Top-tier hourly rate paid in USD

Long-term contract opportunity

Fully remote work

High-impact role within a data-driven company

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.
• Collaborate with data scientists and engineers.
• Develop APIs for data ingestion, transformation, and querying.
• Ensure the reliability of ML systems.
• Contribute to architectural decisions.

Conhecimentos

Python

Java

Scala

GCP

AWS

Azure

BigQuery

TensorFlow

PyTorch

Docker

Kubernetes

Apache Kafka

Spark

ETL

CI/CD

git

monitoring pipelines

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

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