Data Engineer II (Remote - United States)

Nextech is a leader in specialty healthcare technology solutions, and they are seeking a Data Engineer II to optimize, support, and deploy cloud-based data systems for healthcare applications. The role involves building secure and compliant database solutions, supporting analytics evolution, and ensuring data protection practices are followed.

Responsibilities:

• Design, deploy, maintain and support cloud-based SQL Server environments across VM’s, Azure SQL and Azure SQL Managed Instance platforms
• Troubleshoot performance issues using standard tools and monitoring platforms, improving client outcomes within our product data platforms
• Applies best practices around the management, governance, and support of our data platforms as prescribed by senior engineers and the general community
• Takes ownership of support issues, working with other engineering teams on data platform product solutions
• Occasionally mentor junior engineers as well as training the entire team on new processes or practices to improve the work environment
• Collaborates with internal teams to ensure solutions align with customer goals
• Proactively identifies and resolves issues impacting customer experience building trust through consistent delivery and responsiveness
• Executes standardized data protection practices across all data platforms
• Develops and executes pre-defined data pipeline patterns to build out our analytics and reporting Lakehouse

Requirements:

• 3-5 years of experience with SQL Server and Azure SQL in production environments, ideally within healthcare or regulated industries
• Deep understanding of cloud database architecture, PaaS vs IaaS, and hybrid cloud models
• Strong command of T-SQL, PowerShell, and optionally Python or C# for automation and scripting
• Experience with infrastructure-as-code tools like Terraform, Bicep, or ARM templates
• Familiarity with FHIR, HL7, or other healthcare data standards is a plus
• Proven ability to work cross-functionally with product, compliance, and clinical teams
• Excellent communication and documentation skills, especially around data lineage and auditability
• Experience with Azure Fabric, Databricks or other big data platforms for large-scale healthcare analytics
• Exposure to Python for data engineering, automation, or ML pipeline integration
• Basic understanding of streaming data architectures (e.g., Azure Event Hubs, Kafka) and real-time analytics
• Familiarity with Delta Lake, Parquet, or Lakehouse architectures
• Understanding of data mesh principles and distributed data ownership models
• Microsoft Certified: Azure Database Administrator Associate or equivalent