Senior Data Engineer - Remote, Flexible Hours & Delta Lake

BairesDev; Veracruz; Remote; MXN 1,649,000 - 2,748,000; Full time

Benefits offered by this job

Remote work

USD compensation

Hardware provided

Flexible hours

Paid parental leaves

Job summary

BairesDev is seeking a Data Engineer to join a modern, cloud-native data stack, enabling scalable data pipelines and real-time insights for a global user base. You will own end-to-end data solutions from design to production, tackling distributed processing and schema evolution.

You will write clean Python for ETL, collaborate with cross-functional teams, and ensure data quality, security, and observability across pipelines.

Qualifications

• 5+ years of total experience in Data Engineering.
• 3+ years of experience with AWS Glue or Databricks.
• 3+ years of experience with Spark.
• 2+ years of experience with Delta Lake.
• 5+ years of experience with Python for ETL and automation.
• Familiarity with monitoring, observability, and alerting in data pipelines.
• Advanced proficiency in English.

Responsibilities

• Design and implement scalable and secure data pipelines using AWS Glue or Databricks.
• Develop and optimize distributed processes in Apache Spark for large volumes of data.
• Manage and maintain Delta Lake tables, ensuring integrity, versioning, and schema evolution.
• Write and maintain clean, modular Python code for ETL and automation.
• Collaborate with cross-functional teams to translate business needs into reliable data solutions.

Skills

ETL pipelines

Distributed processing

Data modeling

English communication

Tools

AWS Glue

Databricks

Spark

Delta Lake

Python

Job description

BairesDev is seeking a Data Engineer to join a modern, cloud-native data stack, enabling scalable data pipelines and real-time insights for a global user base. You will own end-to-end data solutions from design to production, tackling distributed processing and schema evolution.

You will write clean Python for ETL, collaborate with cross-functional teams, and ensure data quality, security, and observability across pipelines.