Senior Data Engineer

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

Resumo da oferta

A leading US-based e-commerce company is looking for a Senior Data Engineer to work remotely from Brazil. The role involves building scalable data infrastructure and ML pipelines while collaborating with international teams. Candidates must have strong experience in data engineering and MLOps, alongside fluency in English. This is a full-time, long-term opportunity with a competitive hourly rate paid in USD.

Serviços

Top-tier hourly rate paid in USD

Long-term contract opportunity

Fully remote work

Qualificações

• 5+ years as a Data Engineer or MLOps Engineer.
• Hands-on experience with cloud platforms like GCP, AWS, or Azure.
• Strong communication skills and fluency in English.

Responsabilidades

• Design, develop, and maintain scalable data infrastructure.
• Build and support ML pipelines for model training, deployment, and monitoring.
• Collaborate with data scientists and engineers.

Conhecimentos

Data engineering experience

MLOps expertise

Fluent English

Python

Java or Scala

Formação académica

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

Ferramentas

GCP

AWS

Azure

BigQuery

TensorFlow

PyTorch

Docker

Kubernetes

Apache Kafka

Spark

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