$120K - 160K a year
Design and build scalable data pipelines and ETL/ELT processes for healthcare data integration using Azure cloud tools and SQL.
8+ years in data engineering with strong Azure cloud and SQL skills, 5+ years healthcare data experience, and proficiency in Python scripting and data quality validation.
Role: Senior Data Engineer Location: Remote Key Qualifications: • Over 8 years of experience in data engineering, data pipeline development, and data analysis. • Strong command of Azure Data Factory, Azure Data Lake, and other cloud-native tools for enterprise-scale data integration. • Extensive background as a SQL Developer, skilled in writing complex queries, stored procedures, and performance tuning. • 5+ years of healthcare data experience, including working with HL7, FHIR, and EMR systems such as Epic. • Proven ability to build scalable ETL/ELT pipelines using raw XML and JSON, integrating data from multiple heterogeneous sources. • Expertise in data modeling, DDL scripting, database design, and implementing robust data transformation logic. • Proficient in Python scripting for data validation, transformation, and automation tasks. • Skilled in data profiling, anomaly detection, and developing rules for data quality validation. • Experience working with nested data structures, including data arrays and using LATERAL joins for decomposing semi-structured data in SQL. Desired Skills: • Experience in web automation using Selenium WebDriver with scripting in Python. • Proficient in Snowflake for scalable data warehousing, analytics, and modern data stack integrations. • Familiar with multiple testing domains including: • Functional Testing • Data Integrity & Consistency Validation • Security & Privacy Compliance Testing • Regression Testing • Continuous Data Quality Monitoring
This job posting was last updated on 10/11/2025