Senior Databricks Data Engineer (Spark) — Remote

BairesDev; Chile; Remoto; CLP 88.757.000 - 128.205.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

USD compensation

Home setup provided

Flexible hours

Paid parental leave

Vacations and holidays

Global, diverse team

Mentorship & growth

Descrizione del lavoro

BairesDev is seeking a Databricks Data Engineer to design and build large-scale data pipelines using Apache Spark. You will bridge raw data with insights, delivering scalable cloud data architectures and robust data models across the organization.

This role offers 100% remote work, generous USD-based compensation, a home setup, flexible hours, and a culture that values mentorship and global collaboration. You will collaborate with cross-functional teams, optimize jobs for performance and cost,

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Data engineering

Data pipelines

Cloud data architectures

Data modeling

English proficiency

Software engineering

Strumenti

Apache Spark

Databricks

Descrizione del lavoro

BairesDev is seeking a Databricks Data Engineer to design and build large-scale data pipelines using Apache Spark. You will bridge raw data with insights, delivering scalable cloud data architectures and robust data models across the organization.

This role offers 100% remote work, generous USD-based compensation, a home setup, flexible hours, and a culture that values mentorship and global collaboration. You will collaborate with cross-functional teams, optimize jobs for performance and cost,