Data Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Logo of ProgenyHealth, LLC

ProgenyHealth, LLC

201 - 500 employees

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

Healthcare • Healthcare Insurance • SaaS

ProgenyHealth, LLC is a company focused on transforming healthcare for women, infants, and families through its integrated Maternity and NICU Care Management solutions. With over 20 years of experience, ProgenyHealth provides a comprehensive care management solution to address the maternity and NICU challenges faced by modern health plans. By identifying risks early, the company aims to prevent preterm births, NICU stays, and complications during pregnancy and after delivery. ProgenyHealth operates as a trusted partner for health plans, overseeing a full maternal and infant care continuum, creating lasting relationships, and optimizing maternal and infant healthcare economics. The company also helps solve non-clinical social drivers impacting maternal and infant health, ensuring equitable, standardized, and predictable family care.

📋 Description

• Build, schedule, and monitor ETL/ELT pipelines using Azure Data Factory and SQL Server Integration Services • Implement change data capture, schema drift handling, and error-recovery patterns • Ingest, model, and process healthcare claims and cases data for reporting and analytics • Use AI tools including GitHub Copilot, Microsoft Copilot in Fabric, Snowflake Cortex, and LLM-based assistants for pipeline development, code generation, documentation, testing, and troubleshooting • Develop and optimize data structures, warehouses, and workloads in Snowflake • Write SQL queries and scripts for data extraction, transformation, and loading • Analyze, monitor, and fine-tune SQL queries and database structures • Contribute to CI/CD, Git, Azure DevOps, and infrastructure-as-code practices • Manage database security, backup, and recovery strategies • Develop and maintain data pipelines between source systems and the Enterprise Data Warehouse • Perform data quality checks and troubleshoot data accuracy and consistency issues • Monitor database performance, latency, and storage • Integrate databases with applications and business systems • Keep current with database engineering, data warehousing, and SQL optimization best practices

🎯 Requirements

• Experience implementing medallion architecture (Bronze, Silver, and Gold layers) in a lakehouse or cloud data warehouse environment • Bachelor’s degree in computer science, Information Technology, or a related field • 10 or more years of experience as a Database Engineer in a healthcare environment, focused on SQL and Enterprise Data Warehousing • Hands-on experience with healthcare claims data • Hands-on experience with Azure Data Factory (ADF) • Hands-on experience with Azure DevOps (ADO) • Hands-on experience with SQL Server Integration Services (SSIS) • Hands-on experience with Snowflake (preferred) • Strong knowledge of data modeling and database design principles • Understanding of data security, backup, and recovery procedures (BCDR) • Knowledge of Agile methodologies and experience working in Agile environments • Strong problem-solving skills and attention to detail • Strong communication skills working across business functions • Ability to manage multiple projects, issues, and deliverables in a fast-paced environment • Ability to multitask and prioritize work to meet deadlines • Excellent listening, critical thinking, written, and verbal skills • Ability to work well within a team environment • Experience working in a professional environment with clinical managed care concepts, practices, and procedures preferred

🏖️ Benefits

• Contract opportunity • Fully remote work • Equal Opportunity Employer, including individuals with disabilities and veterans • Interview accommodation available for individuals with disabilities

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