Data Engineer (Databricks + Python + Azure)

Allata is seeking a skilled Data Engineer to join their team and contribute to data-driven initiatives within the healthcare industry. The role involves designing, building, and optimizing scalable data solutions using Databricks and Python.

Requirements

• Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python.
• Build and optimize ETL/ELT processes within Azure cloud environments.
• Implement data models following modern Data Lakehouse principles.
• Ensure data quality, consistency, and performance across ingestion, staging, and curated layers.
• Collaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into technical solutions.
• Develop reusable data transformation logic and modular processing components.
• Support deployment processes following CI/CD and DevOps best practices.
• Monitor and optimize data workflows for performance, scalability, and reliability.
• Contribute to data governance, security, and compliance practices relevant to healthcare environments.

Benefits

• Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.