Guadalajara Data Engineer - ETL & Data Warehousing

Paylocity; Región Centro; Presencial; MXN 420.000 - 630.000; Jornada completa

Descripción de la vacante

Paylocity seeks a Data Engineer based in Guadalajara to design, build, and optimize data pipelines supporting analytical and operational use cases. You will work with large-scale data infrastructure, ensuring efficient data flows across systems and applications.

The role demands proficiency in SQL and Python, plus experience with data modeling, governance, and distributed computing. Collaboration with data scientists and engineers is essential to success.

Formación

• Bachelor’s degree in Computer Science, Data Engineering, or related discipline.
• 2+ years of experience in data engineering or software development.
• Proficiency in SQL and Python
• Knowledge of data modeling, data governance, and distributed computing.
• Experience with cloud data platforms (AWS Redshift, Snowflake, BigQuery) is big plus.
• Experience with DBT is big plus
• Communication Proficiency: Excellent written and verbal English communication skills.

Responsabilidades

• Develop, maintain, optimize, and document ETL/ELT pipelines.
• Ensure data integrity and security across storage and processing layers.
• Work with data warehousing technologies to support business intelligence.
• Automate data processing tasks to improve efficiency and scalability.
• Collaborate with data scientists and software engineers to integrate data solutions.

Conocimientos

Data governance

Distributed computing

English communication

Educación

Bachelor’s degree in Computer Science / Data Engineering

Herramientas

SQL

Python

AWS Redshift

Snowflake

BigQuery

DBT

Descripción del empleo

Paylocity seeks a Data Engineer based in Guadalajara to design, build, and optimize data pipelines supporting analytical and operational use cases. You will work with large-scale data infrastructure, ensuring efficient data flows across systems and applications.

The role demands proficiency in SQL and Python, plus experience with data modeling, governance, and distributed computing. Collaboration with data scientists and engineers is essential to success.