Note: The job is a remote job and is open to candidates in USA. Allata is a global consulting and technology services firm that helps organizations accelerate growth and solve complex challenges. They are seeking a skilled Data Engineer to design, build, and optimize scalable data solutions for analytics and reporting in the healthcare industry, collaborating with data architects and business stakeholders.

Responsibilities

• Design, develop, and maintain scalable data pipelines using modern distributed data processing platforms and cloud environments
• Build and optimize ETL/ELT processes following industry best practices and cloud-native architectures
• Implement data models aligned with modern Data Lakehouse principles and data architecture frameworks
• Ensure data quality, consistency, and performance across ingestion, staging, and curated data layers
• Collaborate with data architects, analysts, and business stakeholders to understand complex healthcare data requirements
• Develop reusable data transformation logic and modular processing components for efficient, maintainable systems
• Support deployment processes following CI/CD and DevOps best practices
• Monitor and optimize data workflows for performance, scalability, and reliability in production environments
• Contribute to data governance, security, and compliance practices relevant to regulated healthcare environments

Skills

• Proven hands-on experience with Informatica as a data integration and ETL platform
• Strong experience with Databricks or similar distributed data processing platforms
• Core expertise in data architecture, data integrations, data warehousing, and ETL/ELT process design
• Applied experience developing and deploying custom scripts and modules for distributed computing environments (custom code execution across parallel executors and worker nodes)
• Strong proficiency in SQL, Python, and PySpark (or equivalent distributed processing languages) for data transformation and processing
• Solid knowledge of cloud and hybrid relational database systems such as MS SQL Server, PostgreSQL, Oracle, Azure SQL, AWS RDS, or comparable engines
• Hands-on experience with batch and streaming data processing techniques and data compaction strategies
• Strong analytical and problem-solving skills
• Ability to work effectively in cross-functional and distributed teams
• Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders
• Proactive mindset with a strong sense of ownership
• Commitment to delivering high-quality, reliable data solutions

Company Overview

Company H1B Sponsorship