Remote Databricks Data Engineer: Spark & Lakehouse

BairesDev; United States; Remote; MXN 1,527,000 - 2,546,000; Full time

Benefits offered by this job

Remote work

USD salary or local currency

Home office setup

Flexible hours

Parental leave & holidays

Global team

Mentorship & growth

Job summary

BairesDev is seeking a Databricks Data Engineer to design and develop large-scale data processing systems, linking raw data streams to actionable insights across cloud environments.

You will build pipelines, optimize jobs, and collaborate with cross-functional teams to translate business requirements into scalable data structures. Strong English and cloud data modeling experience are essential.

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 for large-scale workflows.
• Build efficient data architectures using lakehouse and warehouse platforms.
• Optimize processing jobs for performance, resources, and cost.
• Collaborate with cross-functional teams to translate requirements into data structures.
• Ensure data integrity, reliable ingestion, and clean data modeling across cloud environments.

Skills

5+ years experience

Apache Spark

Databricks

Large-scale data processing

English proficiency

Job description

BairesDev is seeking a Databricks Data Engineer to design and develop large-scale data processing systems, linking raw data streams to actionable insights across cloud environments.

You will build pipelines, optimize jobs, and collaborate with cross-functional teams to translate business requirements into scalable data structures. Strong English and cloud data modeling experience are essential.