Databricks Data Engineer — Remote, Flexible Hours & Growth

BairesDev; USA; Remote; CLP 88.322.000 - 147.203.000; Vollzeit

Benefits dieser Stelle

Remote work

USD or local pay

Home office setup

Flexible hours

Paid parental leave

Paid vacations & holidays

Global Top 1% talent

Mentorship & growth

Zusammenfassung

BairesDev, a global tech company, is seeking a Data Engineer specializing in Databricks to design and maintain scalable data pipelines. You will bridge raw data sources and analytics-ready datasets in lakehouse architectures and collaborate with data scientists on ML workloads.

This remote role offers competitive compensation in USD or local currency, flexible hours, and a multinational, mentorship-driven environment with opportunities for growth.

Qualifikationen

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise with Databricks and PySpark.
• Strong SQL and data warehousing knowledge.
• Experience with data lakehouse architectures.
• Understanding of ETL/ELT processes and large-scale transformations.
• Proficiency in English.

Aufgaben

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

Tools

Databricks

PySpark

SQL

Data Lakehouse

Jobbeschreibung

BairesDev, a global tech company, is seeking a Data Engineer specializing in Databricks to design and maintain scalable data pipelines. You will bridge raw data sources and analytics-ready datasets in lakehouse architectures and collaborate with data scientists on ML workloads.

This remote role offers competitive compensation in USD or local currency, flexible hours, and a multinational, mentorship-driven environment with opportunities for growth.