Senior Data Engineer - Databricks + AI/ML | 100% Remote

FullStack; Mar del Plata; Presencial; ARS 135.892.000 - 181.190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

100% remote work

Opportunities for growth

Continuing education opportunities

Descripción de la vacante

FullStack is seeking a Senior Data Engineer to join our network and work with US clients on flexible, project-based engagements (Databricks + AI/ML). You will collaborate with client teams daily to design and build scalable data pipelines and data platforms.

Ideal candidates have 5+ years in data engineering, strong SQL and Python, experience with Databricks, cloud data platforms (AWS/Azure/GCP), and a background in ML workflow support. This is a 100% remote role with growth opportunities.

Formación

• Minimum 5+ years of professional data engineering experience.
• Strong SQL and Python skills with data modeling experience.
• Proven ability to design and maintain scalable data pipelines.
• Hands-on Databricks experience and familiarity with cloud platforms.
• Experience supporting AI/ML workflows and data prep.

Responsabilidades

• Integrate into client teams and work alongside engineers and designers daily.
• Design, develop, and optimize large-scale data pipelines and platforms.
• Collaborate with data scientists and ML engineers on data preparation and experiments.
• Ensure data quality, performance monitoring, and reliability across pipelines.

Conocimientos

Data engineering

English proficiency

SQL

Python

ETL/ELT pipelines

Databricks

ML data prep

ML pipelines

Data modeling

Cloud data platforms

Data quality & monitoring

Spark

Agile/Scrum

Cross-functional collaboration

Educación

Bachelor’s degree in a relevant field

Herramientas

Spark

Descripción del empleo

FullStack is seeking a Senior Data Engineer to join our network and work with US clients on flexible, project-based engagements (Databricks + AI/ML). You will collaborate with client teams daily to design and build scalable data pipelines and data platforms.

Ideal candidates have 5+ years in data engineering, strong SQL and Python, experience with Databricks, cloud data platforms (AWS/Azure/GCP), and a background in ML workflow support. This is a 100% remote role with growth opportunities.