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 (Databricks) at BairesDev

As a Senior Data Engineer (Databricks), you will design and optimize robust data pipelines and models within lakehouse environments. You will ensure data assets are scalable, reliable, and accessible, acting as a technical anchor to drive analytics and operational excellence.

What You'll Do

• Architect and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark for high-throughput data processing.




• Design and implement durable data models and schemas within a Medallion Architecture (Bronze, Silver, Gold layers).
• Orchestrate complex data workflows and manage task dependencies using Airflow to ensure data freshness and reliability.
• Leverage dbt and SQL to transform raw datasets into clean, well-documented, and production-ready data products.
• Optimize pipeline performance and compute resource usage through effective partitioning, caching, and query tuning.
• Implement data quality checks and automated testing standards to ensure the integrity and governance of the data lakehouse.

What We Are Looking For

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in designing and optimizing data pipelines in Databricks lakehouse environments.
• Proficiency in orchestrating complex workflows using Apache Airflow.
• Hands-on experience with data transformation and modeling using dbt and SQL.
• Strong background in

📌 Senior Data Engineer (México)
🏢 BairesDev
📍 México