Remote GCP Data Engineer — BigQuery Pipelines Lead

BairesDev; Peru (IL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

USD compensation

Hardware included

Flexible hours

Parental leave

Diversity & mentorship

Job summary

BairesDev is hiring a GCP Data Engineer to lead scalable data systems on Google Cloud. You will own data pipelines, ensure quality and security, and collaborate with stakeholders to deliver strategic insights.

The role emphasizes Python-based development, BigQuery analytics, and cloud-native data architecture in a fully remote environment. Join a global team of top tech talent delivering high-impact data solutions for major tech players and startups.

Qualifications

• 4+ years of experience in Data Engineering, Software Engineering, or Cloud Data Management.
• Proven expertise leading development of scalable data systems on Google Cloud Platform.
• Advanced proficiency in Python for data processing and pipeline development.
• Deep understanding of GCP-native services, especially BigQuery and Cloud Storage.
• Hands‑on experience overseeing complex data pipelines and analytics solutions.
• Strong English communication skills.

Responsibilities

• Design, build, and maintain data processing systems and infrastructure on Google Cloud Platform.
• Develop and optimize scalable data pipelines to ingest, transform, and store data from diverse sources using Python and GCP services.
• Leverage BigQuery to build analytics warehouses and enable large-scale querying for insights.
• Collaborate with stakeholders to identify data requirements and implement end-to-end data solutions.
• Ensure data quality, reliability, and security with governance and monitoring practices.
• Evaluate and integrate new GCP services to improve performance and cost-efficiency.

Skills

Python

GCP (Google Cloud Platform)

BigQuery

Data pipeline development

English proficiency

Job description

BairesDev is hiring a GCP Data Engineer to lead scalable data systems on Google Cloud. You will own data pipelines, ensure quality and security, and collaborate with stakeholders to deliver strategic insights.

The role emphasizes Python-based development, BigQuery analytics, and cloud-native data architecture in a fully remote environment. Join a global team of top tech talent delivering high-impact data solutions for major tech players and startups.