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Data Engineer

GraceMark Solutions

Betim

Híbrido

BRL 80.000 - 120.000

Tempo integral

Há 2 dias
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Resumo da oferta

A technology solutions firm is seeking a Data Engineer to join their high-impact engineering team in Brazil. The ideal candidate will have over 3 years of backend engineering experience, proficiency in Java, and hands-on Big Data experience with technologies such as Hadoop and Spark. This role involves building and enhancing backend features, collaborating with various teams, and working on large-scale systems. The position offers a competitive salary of $2200 USD monthly.

Qualificações

  • 3+ years of backend engineering experience.
  • Proficiency in Java backend development.
  • Hands-on experience with Hadoop and Spark.

Responsabilidades

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

Conhecimentos

Backend engineering
Java
Big Data (Hadoop, Spark)
REST APIs
Data processing
Fluent English communication
Descrição da oferta de emprego
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!

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