Data Engineer

GraceMark Solutions; Natal; Híbrido; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology solutions provider is looking for a Data Engineer to join their high-impact engineering team in Brazil. This role involves building and enhancing backend features, collaborating with cross-functional teams, and developing reliable components for large-scale user-facing products. Candidates should have over 3 years of backend engineering experience, strong Java skills, and hands-on Big Data experience (Hadoop, Spark). Fluency in English is a must.

Qualificações

• 3+ years of backend engineering experience.
• Hands-on Big Data experience with Hadoop and Spark.
• Ability to communicate clearly in English is required.

Responsabilidades

• Build and enhance backend features end to end.
• Collaborate with product, design, and client teams.
• Develop reliable, maintainable backend components.

Conhecimentos

Backend engineering

Java

Big Data

REST APIs

Hadoop

Spark

Data processing

Fluent English

Descrição da oferta de emprego

Hello! We currently have a great job opportunity for you!

About the role : Role : Data Engineer

Location : São Paulo, Brazil

Duration : 6 months

Salary : $ 2200 USD monthly (FTE)

We're looking for a Data Engineer with backend experience to join a high-impact engineering team building large-scale user-facing products.

What You'll Do

Build and enhance backend features end to end : requirements, implementation, automated testing, A / B testing, and launch validation.

Collaborate with product, design, and client teams to deliver complete functionality.

Develop reliable, maintainable backend components used by other engineers.

Work on large-scale, distributed, and data-intensive systems.

What We're Looking For

3+ years of backend engineering experience.

Java backend skills (REST APIs, caching, storage, data processing).

Hands-on Big Data experience : Hadoop, Spark, MapReduce (active migration from MR → Spark).

Experience in consumer apps, social media, or large-scale platforms (not financial systems).

Ability to communicate clearly in English (fluent required) and collaborate effectively across global teams.

If you have real Big Data experience and enjoy building products at scale, we'd love to hear from you!