Data Engineer (Databricks + Python + Azure)

About this role

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.


Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.


We are seeking a skilled
Data Engineer
to join our team and contribute to data-driven initiatives within the healthcare industry. This role focuses on designing, building, and optimizing scalable data solutions that support analytics, reporting, and advanced data use cases in regulated environments.


Role & Responsibilities:

• 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 (e.g., Medallion architecture)
• 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 relevan...