Senior Data Engineer

Why join Nextech?   We are a leader in specialty healthcare technology solutions.   We’re committed to hiring and retaining talent, which is why we invest in our employees through competitive pay, a generous bonus structure, great healthcare, a comprehensive wellness program, and many other benefits.   If you are a software engineer, finance or accounting professional, customer support specialist, or a business development expert with a passion for healthcare technology (just to name a few), we want to hear from you.   We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics are encouraged to apply. If you are a candidate in need of assistance or an accommodation in the application process, please contact [email protected]. About the Role   We’re looking for a Senior Data Engineer to help with optimization, support and deployment of our cloud-based data systems that power mission-critical healthcare applications. You’ll play a key role in building secure, scalable, and compliant database solutions using Azure SQL Server, and other cloud-native technologies. Additionally, you will work in supporting the evolution of our analytics lakehouse and all of its data sources. Our platform supports real-time clinical workflows, patient data analytics, and regulatory reporting—so precision, performance, and privacy are paramount.   This is a hybrid role, where having a solid background in administration or operations of data platforms as well as exploring data lakehouse tools and strategy are preferred.   All activities must be in compliance with Equal Employment Opportunity laws, HIPAA, ERISA and other regulations, as appropriate. Essential Skills:

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

Ensures high-quality outcomes by refining processes, validating infrastructure changes, and mentoring others on standards.

Works with product development to adhere to best practices during SDLC

Takes ownership of support issues, working with other engineering teams on data platform product solutions

Anticipates customer needs and designs solutions that add long-term value

Partners with stakeholders to refine requirements and improve outcomes

Advocates for customer-centric practices within engineering teams

Mentors junior engineers on processes/procedure using best practices to improve the work environment

Reviews Data Protection and Compliance technologies ensuring they meet industry standard and best practices

Ensures high-quality outcomes by refining processes, validating infrastructure changes, and mentoring others on standards

Ability to leverage log exhaust to create robust real time monitoring and alerting for platforms and processes

Proactively adjusts to shifting priorities and business needs

Responds quickly and effectively to complex incidents or outages

Guides others in managing change and uncertainty in technical environments

Minimum Requirements:

5-7+ 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

Expert command of T-SQL, PowerShell, as well as 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

Preferred Qualifications:

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

Working Environment/Physical Demands:

100% Remote

Activities require a significant amount of work in front of a computer monitor

Long-distance or air travel as needed – not to exceed 10% travel