Databricks Data Engineer (Apache Spark) – Remote

About the role

As a Databricks Data Engineer, you will design and develop large‑scale data processing systems to handle complex batch and streaming workloads. You will serve as a critical link between raw data streams and actionable insights, ensuring high performance, scalability, and robust cloud data architectures across the organization.

Key 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.

Required profile

• 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.

Required skills

• Apache Spark
• Databricks

What we offer

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred.
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and holidays.
• Innovative and multicultural work environment collaborating with the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.