Databricks Data Engineer

Job Summary

Seeking a Databricks Data Engineer, this full-time remote position will design and build robust data pipelines on the Databricks Lakehouse Platform, supporting high-quality analytics and machine learning solutions for clients.

Key Responsibilities:

• Design and build reliable, scalable data pipelines for ingestion, transformation, normalization, and augmentation
• Develop and maintain data transformation workflows in Databricks using Delta Lake, Spark notebooks, and Unity Catalog
• Collaborate with cross-functional teams to gather data requirements and translate them into actionable data models

Required Qualifications:

• 3+ years of hands-on production Databricks experience with SQL and Python in data engineering roles
• Experience with data transformation tools/frameworks such as DLT, dbt, and Apache Spark within the Databricks ecosystem
• Hands-on experience with Databricks, including Delta Lake, Spark notebooks, and Unity Catalog in production environments
• Familiarity with cloud data platforms (e.g., Azure, AWS)
• Solid understanding of ETL/ELT processes and pipeline orchestration