Remote Databricks Data Engineer (Spark & Lakehouse)

BairesDev; United States; À distance; MXN 1 695 000 - 2 448 000; Plein temps

Avantages offerts par ce poste

100% remote work

Competitive compensation in USD

Hardware and software setup for home

Flexible hours

Paid parental leaves, vacations, and 9

Résumé du poste

BairesDev is seeking a Databricks Data Engineer to design and develop large-scale data processing systems using Apache Spark, delivering scalable cloud data architectures.

You will build robust data pipelines, optimize processing jobs for performance and cost, and collaborate with cross-functional teams to translate complex requirements into future-ready data structures. This is a 100% remote role with competitive USD compensation.

Qualifications

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building and managing data pipelines using Apache Spark and Databricks.
• Strong proficiency in large-scale data processing and optimization.
• Hands-on experience with cloud data architectures and data modeling.
• Advanced proficiency in English.

Responsabilités

• Design, implement, and optimize robust data pipelines to handle large-scale data workflows.
• Build efficient data architectures using modern lakehouse and warehouse platforms.
• Optimize processing jobs for peak performance, resource allocation, and cost-efficiency.
• Collaborate with cross-functional teams to translate complex business requirements into future-ready data structures.
• Ensure data integrity, reliable ingestion, and clean data modeling across cloud environments.

Connaissances

Data engineering

Software engineering

Apache Spark

Databricks

Data pipelines

Outils

Databricks

Cloud platforms

Spark SQL

Description du poste

BairesDev is seeking a Databricks Data Engineer to design and develop large-scale data processing systems using Apache Spark, delivering scalable cloud data architectures.

You will build robust data pipelines, optimize processing jobs for performance and cost, and collaborate with cross-functional teams to translate complex requirements into future-ready data structures. This is a 100% remote role with competitive USD compensation.