Senior Data Engineer - Databricks(Remote, Flexible Hours)

BairesDev; Chile; Remote; CLP 119,522,000 - 179,283,000; Full time

Benefits offered by this job

Remote work

USD or local currency pay

Home setup provided

Flexible hours

Parental leave

Global team mentorship

Job summary

BairesDev is seeking a Senior Data Engineer (Databricks) to design and optimize robust data pipelines within lakehouse environments. You will ensure scalable, reliable data assets that empower analytics and operational excellence across our global teams.

The role is 100% remote, with flexible hours and an emphasis on collaboration with a world-class engineering community. You will work with Databricks, Spark, Airflow, and dbt to deliver production-ready data products.

Qualifications

• 4+ years of experience in Data Engineering or Software Engineering.
• Expertise designing and optimizing pipelines in Databricks lakehouse environments.
• Proficiency with Apache Airflow to orchestrate workflows.
• Hands-on experience with dbt and SQL for data transformations.
• Strong background in analytics-ready datasets and scalable data modeling.
• Excellent English language skills.

Responsibilities

• Architect and maintain scalable ETL/ELT pipelines using Databricks and Spark.
• Design durable data models and schemas in a lakehouse with Bronze/Silver/Gold layers.
• Orchestrate workflows with Airflow to ensure data freshness and reliability.
• Transform raw data with dbt and SQL and document data products.
• Optimize pipeline performance and resource usage through partitioning and tuning.
• Implement data quality checks and governance for the data lakehouse.

Skills

Databricks

Apache Spark

Apache Airflow

dbt

SQL

Data modeling

Job description

BairesDev is seeking a Senior Data Engineer (Databricks) to design and optimize robust data pipelines within lakehouse environments. You will ensure scalable, reliable data assets that empower analytics and operational excellence across our global teams.

The role is 100% remote, with flexible hours and an emphasis on collaboration with a world-class engineering community. You will work with Databricks, Spark, Airflow, and dbt to deliver production-ready data products.