Databricks Data Engineer — Remote & Flexible Hours

BairesDev; Antioquia; Remote; COP 286,469,000 - 413,789,000; Full time

Job summary

BairesDev, a leading technology services company, is seeking a Databricks Data Engineer (Apache Spark) to design and develop large-scale data processing systems. You will act as a critical link between raw data streams and actionable insights, ensuring high performance, scalability, and robust cloud data architectures across the organization.

As a Databricks Data Engineer, you will design and implement robust data pipelines, build lakehouse/warehouse architectures, and collaborate with

Qualifications

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in data pipelines with 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.

Skills

Databricks

Apache Spark

Data pipelines

Cloud architectures

English proficiency

Job description

BairesDev, a leading technology services company, is seeking a Databricks Data Engineer (Apache Spark) to design and develop large-scale data processing systems. You will act as a critical link between raw data streams and actionable insights, ensuring high performance, scalability, and robust cloud data architectures across the organization.

As a Databricks Data Engineer, you will design and implement robust data pipelines, build lakehouse/warehouse architectures, and collaborate with