Senior Data Engineer — Remote (Databricks/PySpark)

Software; México; A distancia; MXN 2.236.000 - 3.354.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Competitive USD pay

Paid time off

Autonomy in work style

Work with US clients

Descripción de la vacante

Truelogic is seeking a Data Engineer with 5–7 years of hands-on experience to design and maintain scalable ETL pipelines using PySpark and Databricks. You will optimize data transformations, collaborate with cross-functional teams, and ensure data quality while leveraging Databricks AutoLoader.

This remote role offers USD-based compensation and the opportunity to work with top US companies. Join a dynamic, globally distributed team delivering high-impact data solutions for modern analytics

Formación

• 5–7 years of hands-on data engineering experience.
• Strong proficiency in PySpark and Databricks.
• Expertise with Databricks AutoLoader and Python; performance tuning.
• End-to-end ETL processes and pipeline optimization.
• Excellent communication across technical and business teams.

Responsabilidades

• Design, build, and maintain scalable ETL pipelines for large-scale data processing.
• Work with PySpark and Databricks to execute complex data transformations and workflows.
• Fine-tune pipelines for performance, scalability, and cloud cost-efficiency.
• Collaborate with engineering and business teams to translate requirements into data solutions.
• Debug, resolve, and prevent data processing bottlenecks.
• Enforce data quality, governance, and system performance.

Conocimientos

PySpark

Databricks

Python

ETL pipelines

Data transformations

End-to-end ETL

Communication

Herramientas

Databricks AutoLoader

SQL

Python

Descripción del empleo

Truelogic is seeking a Data Engineer with 5–7 years of hands-on experience to design and maintain scalable ETL pipelines using PySpark and Databricks. You will optimize data transformations, collaborate with cross-functional teams, and ensure data quality while leveraging Databricks AutoLoader.

This remote role offers USD-based compensation and the opportunity to work with top US companies. Join a dynamic, globally distributed team delivering high-impact data solutions for modern analytics