Remote Databricks Data Engineer (Spark) | Lakehouse Scale

BairesDev; United States; Remote; MXN 2,260,000 - 3,013,000; Full time

Benefits offered by this job

100% remote

Competitive USD pay

Home setup provided

Flexible hours

Parental leave

Global mentorship

Growth opportunities

Job summary

BairesDev is seeking a Databricks Data Engineer to design and develop large-scale data processing systems, ensuring high performance and scalable cloud architectures. The role emphasizes building robust data pipelines and data models to support insights across global teams.

Excellent English is required. This is a 100% remote position offering USD or local currency compensation and opportunities for career growth within a diverse, global tech environment.

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 workloads.
• 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.

Skills

Apache Spark

Databricks

Data pipelines

Cloud data platforms

Data modeling

Big data processing

English

Tools

Databricks

Apache Spark

Job description

BairesDev is seeking a Databricks Data Engineer to design and develop large-scale data processing systems, ensuring high performance and scalable cloud architectures. The role emphasizes building robust data pipelines and data models to support insights across global teams.

Excellent English is required. This is a 100% remote position offering USD or local currency compensation and opportunities for career growth within a diverse, global tech environment.