Remote Databricks Data Engineer - Spark & Lakehouse

BairesDev; Chile; Remote; CLP 118,577,000 - 158,103,000; Full time

Benefits offered by this job

100% remote work

Competitive USD compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves and holidays

Global, multicultural team

Job summary

BairesDev is seeking a Databricks Data Engineer to design and optimise large-scale data pipelines and cloud architectures. This role operates remotely, offering global reach and flexible hours while requiring strong English proficiency.

You will collaborate with cross-functional teams to translate complex business requirements into scalable data structures, ensuring data quality across lakehouse platforms and warehouses.

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.

Responsibilities

• 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.

Job description

BairesDev is seeking a Databricks Data Engineer to design and optimise large-scale data pipelines and cloud architectures. This role operates remotely, offering global reach and flexible hours while requiring strong English proficiency.

You will collaborate with cross-functional teams to translate complex business requirements into scalable data structures, ensuring data quality across lakehouse platforms and warehouses.