[Remote] Data Engineer (Databricks + Python + Azure)

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 that support analytics and reporting in the healthcare industry.

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 relevant to healthcare environments

Skills

• Current knowledge of an using modern data tools like (Databricks, FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes
• Applied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes
• Applied experience in SQL, Stored Procedures, and Pyspark based on area of data platform specialization
• Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, Aurora or a comparable engine
• Strong experience with batch and streaming data processing techniques and file compactization 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
• Strong hands-on experience with Databricks in Azure environments
• Advanced proficiency in Python and PySpark for distributed data processing
• Experience building and optimizing data pipelines in Azure (Azure Data Factory, Azure SQL, Data Lake Storage, etc.)
• Solid understanding of data warehousing, data lakehouse concepts, and ETL/ELT frameworks
• Experience working with relational databases such as SQL Server, PostgreSQL, Oracle, or similar
• Knowledge of batch and streaming data processing patterns
• Experience working with large, complex datasets in cloud-based distributed environments

Company Overview

• Allata is an IT company focused on helping clients enhance or scale business opportunities, create efficiencies and more. It was founded in 2016, and is headquartered in Eagle, Idaho, USA, with a workforce of 201-500 employees. Its website is https://www.allata.com/.

Company H1B Sponsorship

• Allata has a track record of offering H1B sponsorships, with 1 in 2025, 2 in 2022, 3 in 2021. Please note that this does not guarantee sponsorship for this specific role.