Senior Data Engineer (GCP/Python) - Remote, Flexible Hours

BairesDev; Distrito Capital; Remote; VES 105,727,000 - 158,590,000; Full time

Benefits offered by this job

Remote work

USD compensation

Home office setup

Flexible hours

Parental leave

Mentorship & growth

Job summary

BairesDev is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize robust data pipelines for enterprise analytics in a 100% remote role. You will drive scalable streaming and batch processing, ensuring seamless cloud data integration and high data quality across projects.

Join a global Top 1% tech talent team and enjoy flexible hours, USD compensation, and a supportive, multicultural environment. Remote work from anywhere with ongoing mentorship and growth opportunities.

Qualifications

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

Responsibilities

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

Skills

Python

GCP services

Airflow

Data modeling

English proficiency

Job description

BairesDev is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize robust data pipelines for enterprise analytics in a 100% remote role. You will drive scalable streaming and batch processing, ensuring seamless cloud data integration and high data quality across projects.

Join a global Top 1% tech talent team and enjoy flexible hours, USD compensation, and a supportive, multicultural environment. Remote work from anywhere with ongoing mentorship and growth opportunities.