Healthcare Data Engineer (HL7, SQL, Python)

We are seeking an experienced Software Developer / Data Engineer / Data Scientist to support the development of data processing, analytics, and automation solutions. The ideal candidate will have strong expertise in Python, SQL Server, and data transformation, with the ability to build scalable data pipelines and analytical tools in a cloud environment. Key Responsibilities • Develop and maintain data processing and analytical solutions using Python and related libraries • Design, develop, and optimize databases using SQL Server and T-SQL • Work with various data formats including HL7, XML, JSON, CSV, and EDI • Perform data modeling, mapping, and transformation to support business requirements • Build and implement automated data processing workflows and tools • Ensure data quality, integrity, and lifecycle management across systems • Collaborate with cross-functional teams to design scalable and efficient data solutions • Support cloud-based data processing environments (AWS, Azure, or GCP) Required Qualifications • Minimum 5+ years of experience in data processing, data engineering, or data analytics development • Strong expertise in SQL, T-SQL, and SQL Server database development • Hands-on experience with Python for data processing and analytics • Experience with data modeling, transformation, and integration processes • Solid understanding of data lifecycle management and data quality practices • Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or related field Preferred Qualifications • Experience with cloud platforms (AWS, Azure, or GCP) • Knowledge of other RDBMS systems • Familiarity with UI development • Experience with data visualization tools (Power BI or similar) • Experience working with healthcare data standards (HL7)