Nextech is looking to solve the problem of designing and optimizing cloud-based data systems that power mission-critical healthcare applications by hiring a Senior Data Engineer.
Requirements
- 7+ 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
- Microsoft Certified: Azure Database Administrator Associate or equivalent
- Experience with Azure Synapse, Cosmos DB, or Data Lake integrations
- Proficiency in Python for data engineering, automation, or ML pipeline integration
Responsibilities
- Architect and maintain HIPAA-compliant database environments across Azure SQL, Managed Instances, and SQL Server on VMs
- Design and optimize T-SQL queries, stored procedures, and ETL processes for high-volume healthcare data
- Implement high-availability, geo-redundancy, and disaster recovery strategies to support client clinical operations
- Collaborate with DevOps and Security teams to integrate database deployments into CI/CD pipelines and enforce data governance policies
- Monitor and tune performance using Query Store, Extended Events, and Azure Monitor, ensuring sub-second response times for clinical applications
- Lead data migration and transformation efforts from legacy systems to cloud-native architectures
- Ensure PHI protection through encryption, access controls, and audit logging aligned with HITECH and SOC 2 standards
Other
- All activities must be in compliance with Equal Employment Opportunity laws, HIPAA, ERISA and other regulations, as appropriate.
- Mentor junior engineers and contribute to a culture of engineering excellence and continuous improvement
- Proven ability to work cross-functionally with product, compliance, and clinical teams
- Excellent communication and documentation skills, especially around data lineage and auditability
- 100% Remote
