Data Operations Engineer Associate

Huron helps its clients drive growth and enhance performance in the healthcare sector. As a Data Operations Engineer Associate, you will build and maintain data pipelines, ensure data quality, and uphold compliance standards for sensitive healthcare data, contributing to sustainable solutions for healthcare organizations.

Responsibilities:

• Build, maintain, and support Azure-based data environments for client engagements, including resource groups, SQL databases, Azure Data Factory, SFTP sites, and related infrastructure
• Support access, connectivity, and day-to-day operations for the legacy Eclipse Azure tenant hosting active client data and pipelines
• Enable secure client data intake via SFTP by provisioning access, supporting file transfers, and troubleshooting connectivity issues
• Design, configure, and maintain automated Azure Data Factory ingestion workflows, enabling scheduled, hands-off data flows from SFTP to SQL
• Process and manage client data across 25+ concurrent engagements, supporting multiple data formats including flat files, JSON, and healthcare transaction files (837/835)
• Review incoming client data and develop mapping logic and documentation to support SQL-based import and transformation processes
• Perform data quality assurance to validate structure, completeness, and reasonableness prior to downstream analytics use
• Prepare and load data used in Power BI dashboards and coordinate with the Power BI team on dataset refreshes and issue resolution
• Work with healthcare data containing PHI, ensuring compliance with security, privacy, and data governance standards throughout the data lifecycle
• Collaborate with internal team members and consultants to resolve data issues, clarify processes, and prioritize requests across multiple clients and project phases

Requirements:

• 4‑year degree in Computer Science or equivalent applicable programming experience
• Minimum of 2 years of experience with SQL and relational database development
• Experience supporting Azure‑based data environments, including ETL and cloud data services
• Familiarity with data ingestion processes, SFTP workflows, and multiple data formats
• Strong attention to detail, data quality, and documentation
• Ability to manage multiple priorities in a fast‑paced, multi‑client environment
• US Work Authorization required