Databricks Data Engineer: Build Lakehouse Pipelines

BairesDev; Antioquia; Remote; COP 270,537,000 - 397,848,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Home-office setup provided

Flexible hours

Parental leave & holidays

Global team & mentorship

Job summary

BairesDev is seeking a Data Engineer specialized in Databricks to design and maintain scalable data pipelines and lakehouse transformations. You will collaborate with data scientists and analysts to deliver analytics-ready datasets across production environments.

Join a fully remote global team and contribute to high-impact projects while leveraging PySpark, SQL, and Medallion architecture to ensure data quality and performance.

Qualifications

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in developing and optimizing data pipelines using Databricks and PySpark.
• Strong proficiency in SQL and experience with data warehousing concepts.
• Hands-on experience building and maintaining data lakehouse architectures.
• Deep understanding of ETL/ELT processes and large-scale data transformations.
• Advanced proficiency in English.

Responsibilities

• Design and implement end-to-end ETL pipelines using PySpark and SQL within the Databricks platform.
• Build and optimize data transformations following the Medallion Architecture to create Bronze, Silver, and Gold layers.
• Develop declarative pipelines and manage orchestration workflows for reliable production deployments.
• Collaborate with data scientists and analysts to provide clean, structured data for analytics and machine learning.
• Ensure data integrity and performance through monitoring, schema enforcement, and data quality checks.
• Maintain and scale lakehouse environments to handle diverse datasets efficiently.

Skills

Databricks

PySpark

SQL

Data warehousing

ETL/ELT

English proficiency

Job description

BairesDev is seeking a Data Engineer specialized in Databricks to design and maintain scalable data pipelines and lakehouse transformations. You will collaborate with data scientists and analysts to deliver analytics-ready datasets across production environments.

Join a fully remote global team and contribute to high-impact projects while leveraging PySpark, SQL, and Medallion architecture to ensure data quality and performance.