Workana

Data Engineer (Internal Team)

Workana Buenos Aires y alrededores

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Workana ha indicado el rango de sueldo

Este rango lo ha facilitado Workana. El sueldo real dependerá de tus aptitudes y experiencia. Pide información al técnico de selección.

Rango de sueldo base

24.000,00 US$/año - 36.000,00 US$/año
Workana is the largest remote work platform for talents in Latin America. Our new segment, Workana , focuses on matching the most exceptional professionals with leading and innovative companies around the globe. Enjoy competitive compensation, dedicated , and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.

We are proud to present you with the following opportunity.

Role Overview:

As a Data Engineer at Workana, you will be responsible for deg, building, and maintaining a robust and scalable data infrastructure. You will play a critical role in ensuring the integrity, availability, and efficiency of our data systems, empowering the organization to make informed, data-driven decisions. This role requires a strong combination of technical expertise and pragmatic business thinking.

Responsibilities:

  • Design, build, and maintain efficient and scalable data pipelines.
  • Ensure data quality, consistency, and availability for product, business, and IT teams.
  • Collaborate with Product Data Analysts and other stakeholders to understand data needs and enable access to relevant information.
  • Manage workflow orchestration tools and databases (ETLs, data lakes, data warehouses).
  • Participate in defining data architecture for new functionalities or structural product changes.
  • Quickly and accurately troubleshoot issues in existing data pipelines


Requirements

  • 3+ years of experience as a Data Engineer or in similar roles.
  • Strong proficiency in SQL and Python.
  • Experience with ETL/ELT tools, workflow orchestrators (e.g., Airflow, Prefect), and data warehouses (e.g., BigQuery, Redshift, Snowflake).
  • Solid understanding of data architecture, modeling, and best practices in data engineering.
  • Ability to prioritize tasks with a focus on impact, scalability, and simplicity.
  • Pragmatic mindset: we value an 80/20 approach well-executed over academic perfection.
  • ion for solving complex problems and building simple, effective solutions.
  • Strong collaboration, communication skills, and eagerness to learn


Benefits

  • Compensation in USD
  • Fully remote work
  • Career growth with international clients and dynamic projects
  • Nivel de antigüedad

    Intermedio
  • Tipo de empleo

    Contrato por obra
  • Función laboral

    Ingeniería
  • Sectores

    Servicios y consultoría de TI

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