Lead Data Engineer (Snowflake) - Remote & Flexible Hours

BairesDev

Jalisco

Remote

MXN 1,200,000 - 1,800,000

Full time

5 hours ago
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Benefits offered by this job

Remote work
Flexible hours
Hardware provided
Paid parental leave
Career development

Job summary

BairesDev is seeking a Lead Data Engineer (Snowflake) / Senior Data Engineer (GCP, Python) to design, build, and optimize scalable data pipelines for enterprise analytics in a 100% remote role.

You'll collaborate with product and engineering teams, implement ETL/ELT workflows, and ensure data quality across cloud services such as BigQuery, Dataflow, and Pub/Sub. Proficiency in English is required; remote work from anywhere.

Qualifications

  • 5+ years of experience in Data Engineering, Software Engineering, or related field.
  • Strong hands-on experience with Python and GCP services like BigQuery, Dataflow, and Pub/Sub.
  • Proven expertise in designing streaming data pipelines and robust ETL/ELT workflows.
  • Solid understanding of workflow orchestration with Apache Airflow or Cloud Composer and data modeling for analytics.
  • Advanced proficiency in English.

Responsibilities

  • Design, implement, and maintain highly scalable batch and streaming data pipelines.
  • Architect and optimize robust ETL/ELT workflows utilizing cloud-native services and orchestrators.
  • Develop and optimize high-performance data models tailored for downstream analytical use cases.
  • Collaborate with product and engineering teams to integrate diverse datasets and establish data quality standards.
  • Monitor, troubleshoot, and continuously improve pipeline performance to guarantee efficiency and reliability.

Skills

Python
Data modeling
GCP
ETL/ELT
English

Tools

BigQuery
Dataflow
Pub/Sub
Airflow
Cloud Composer

Job description

BairesDev is seeking a Lead Data Engineer (Snowflake) / Senior Data Engineer (GCP, Python) to design, build, and optimize scalable data pipelines for enterprise analytics in a 100% remote role.

You'll collaborate with product and engineering teams, implement ETL/ELT workflows, and ensure data quality across cloud services such as BigQuery, Dataflow, and Pub/Sub. Proficiency in English is required; remote work from anywhere.

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