Senior Data Engineer — Databricks + AI/ML (Remote)

FullStack

Buenos Aires

A distancia

ARS 136.360.000 - 196.964.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Remote work
Competitive pay
Work with startups & Fortune 500
Continuing education opportunities
Career growth

Descripción de la vacante

FullStack is seeking a Senior Data Engineer to join our talent network and work remotely on a client project. You will design and maintain scalable data pipelines, collaborate with data scientists and ML engineers, and contribute to data platforms leveraging Databricks and Delta Lake.

The role requires 5+ years in data engineering, advanced English, and a four-year degree. You’ll work with AWS/Azure/GCP and practice CI/CD in a fast-paced, project-based environment.

Formación

  • 5+ years of professional experience in Data Engineering.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Experience designing, developing, and maintaining scalable data pipelines and data platforms.
  • Hands-on experience working with Databricks and its data engineering capabilities.
  • Experience supporting AI/ML workflows, including preparing and transforming data for machine learning models.
  • Familiarity with ML pipelines, feature engineering, model training workflows, or MLOps practices.
  • Proven experience building and optimizing ETL/ELT pipelines and large-scale data processing workflows.
  • Strong background in SQL and data modeling.
  • Demonstrated experience working with Python or similar programming languages for data engineering.
  • Experience with cloud data platforms such as AWS, Azure, or GCP.
  • Experience with data quality, performance optimization, monitoring, and reliability.
  • Familiarity with Delta Lake, Spark, and Databricks workflows.
  • Experience collaborating with data scientists, ML engineers, and cross-functional engineering teams.
  • Strong problem-solving skills and ability to work effectively in a fast-paced environment.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work.
  • Ability to identify with the goals of FullStack's clients, and deliver on commitments.

Responsabilidades

  • You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

Conocimientos

Data engineering
SQL
Python
Problem solving
Agile/Scrum
English proficiency

Educación

Four-year college degree

Herramientas

Databricks
Delta Lake
Spark
Cloud platforms (AWS/Azure/GCP)
ETL/ELT tooling

Descripción del empleo

FullStack is seeking a Senior Data Engineer to join our talent network and work remotely on a client project. You will design and maintain scalable data pipelines, collaborate with data scientists and ML engineers, and contribute to data platforms leveraging Databricks and Delta Lake.

The role requires 5+ years in data engineering, advanced English, and a four-year degree. You’ll work with AWS/Azure/GCP and practice CI/CD in a fast-paced, project-based environment.

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