Data Engineer II (Remote - United States)

TL;DR

Data Engineer II (Healthcare, Azure): Designing, deploying, and optimizing cloud-based data systems for mission-critical healthcare applications with an accent on secure, scalable, and compliant database solutions using Azure SQL Server and analytics lakehouse evolution. Focus on troubleshooting performance, applying best practices, and developing data pipeline patterns to ensure precision and privacy in real-time clinical workflows and regulatory reporting.

Location: 100% Remote (United States)

Company

hirify.global is a leader in specialty healthcare technology solutions.

What you will do

• Design, deploy, maintain, and support cloud-based SQL Server environments across VMs, Azure SQL, and Azure SQL Managed Instance platforms.
• Troubleshoot performance issues and improve client outcomes within product data platforms.
• Apply best practices for the management, governance, and support of data platforms.
• Take ownership of support issues and collaborate with other engineering teams on product solutions.
• Proactively identify and resolve issues impacting customer experience through consistent delivery and responsiveness.
• Develop and execute pre-defined data pipeline patterns to build out the 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.
• Proven ability to work cross-functionally with product, compliance, and clinical teams.
• Excellent communication and documentation skills, especially around data lineage and auditability.

Nice to have

• 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 and data mesh principles.

Culture & Benefits

• Generous annual bonus opportunity and 401(k) with Employer Match.
• Flexible Time Off, 11 paid holidays, and Volunteer Time Off.
• Choice of Medical, Dental, and Vision plans, Health Savings Account with employer match, and Flexible Spending Account.
• 100% Company-Paid Parental leave (after 6 months), Life Insurance, and Short/Long Term Disability Insurance.
• Wellness Program including discounts on medical premiums and Employee Assistance Program with free counseling sessions.
• Corporate Discounts on Retail, Travel, and Entertainment, plus Pet Insurance options.