At BairesDev, we've been leading the way in technology projects for over 15 years.
We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.When you apply for this position, you're taking the first step in a process that goes beyond the ordinary.
We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.Senior Data Engineer (GCP, Python) at BairesDevAs a Senior Data Engineer (GCP, Python), you will design, build, and optimize robust data pipelines to support enterprise-scale analytics.
You will drive the development of scalable streaming and batch data processing solutions, ensuring seamless integration and data availability across the modern cloud environment.What You'll Do:- 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.What we are looking for:- 5+ years of experience in Data Engineering, Software Engineering, or a 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.How we do make your work (and your life) easier:- 100% remote work (from anywhere).
- Excellent co

📌 Senior Data Engineer (México)
🏢 BairesDev
📍 México