Senior Data Engineer - Snowflake & Cloud Pipelines (Remote)

BairesDev

Venezuela

Remote

VES 105,356,000 - 158,033,000

Full time

48 hours ago
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Benefits offered by this job

100% remote work
USD compensation
Home office provided hardware/software
Flexible hours
Paid parental leave
Vacations and holidays
Growth opportunities

Job summary

BairesDev is seeking a Senior Lead Data Engineer (Snowflake) to design, build, and optimize data pipelines across batch and streaming workloads in a modern cloud environment. You will drive scalable analytics and work with product and engineering teams to integrate diverse datasets for reliable insights.

This 100% remote role offers USD compensation, flexible hours, and a supportive, multicultural environment with mentorship and growth opportunities.

Qualifications

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

Responsibilities

  • Design, implement, and maintain scalable batch and streaming data pipelines.
  • Architect and optimize ETL/ELT workflows using cloud-native services and orchestrators.
  • Develop high-performance data models for downstream analytics.
  • Collaborate with product and engineering teams to integrate diverse datasets and ensure data quality.
  • Monitor and improve pipeline performance for reliability and efficiency.

Skills

Python
English proficiency
Data engineering
Streaming data

Tools

GCP BigQuery
GCP Dataflow
GCP Pub/Sub
Airflow / Cloud Composer
Data modeling

Job description

BairesDev is seeking a Senior Lead Data Engineer (Snowflake) to design, build, and optimize data pipelines across batch and streaming workloads in a modern cloud environment. You will drive scalable analytics and work with product and engineering teams to integrate diverse datasets for reliable insights.

This 100% remote role offers USD compensation, flexible hours, and a supportive, multicultural environment with mentorship and growth opportunities.

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