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 talent@nextech.com.

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Essential Functions:

• In addition to working in accordance with appropriate conduct and behavioral standards, specific responsibilities of this role include:

• Design and build robust data pipelines and lakehouse solutions using Databricks, Microsoft Fabric, PySpark, and Python.

• Design AI-ready schemas, semantic layers, and metadata structures that allow AI agents to query data accurately and reliably.

• Build automated validation processes for agent-generated queries.

• Pilot agentic automation for data quality and reconciliation workflows while measuring accuracy and maintaining clear rollback plans.

• Curate and maintain the semantic layer that grounds AI agents and reduces incorrect responses caused by ambiguous or poorly defined data.

• Catalog and steward enterprise data assets to support internal analytics, financial planning, and product engineering needs.

• Partner proactively with Product Engineering, FP&A, and other stakeholders to identify and understand data requirements.

• Troubleshoot performance issues and support SQL Server and Azure SQL environments while continuing to develop operational expertise.

• Mentor junior engineers on data engineering best practices, architecture patterns, and technical standards.

• Contribute to data protection, security, and compliance reviews to ensure that tools and processes meet applicable standards, including HIPAA requirements where relevant.

• Carry out additional responsibilities assigned based on business needs.

Minimum Requirements:

• 7+ years of production experience in data engineering roles, including hands-on experience building and maintaining data pipelines at scale.

• Advanced proficiency with Python and PySpark or Apache Spark in production data engineering environments.

• Hands-on production experience with Databricks, Microsoft Fabric, or comparable modern data platforms.

• Demonstrated experience designing, implementing, and operating lakehouse architectures using Delta Lake, Parquet, or equivalent technologies.

• Experience designing AI-ready schemas, semantic layers, or metadata structures with downstream AI or machine learning query patterns in mind, or experience building automated validation for programmatically generated queries.

• Experience with agentic or automation-driven data quality workflows, such as AI-assisted reconciliation, agent-grounded semantic layers, or comparable applied solutions.

• Demonstrated ability to partner directly with product, analytics, finance, or business stakeholders to understand and shape data requirements proactively.

• Familiarity with Microsoft Azure cloud concepts, including platform as a service, infrastructure as a service, Azure SQL, and hybrid cloud models.

• Willingness and ability to develop deeper operational expertise within Azure SQL and SQL Server environments.

• Meaningful experience mentoring junior or mid-level engineers on technical standards, architecture patterns, and data engineering best practices.

Preferred Qualifications:

• Hands-on production experience with Azure SQL, SQL Server, or Azure SQL Managed Instance.

• Proficiency with T-SQL and PowerShell for automation and operational support.

• Experience with infrastructure-as-code tools such as Terraform, Bicep, or Azure Resource Manager templates.

• Familiarity with streaming data architectures and technologies such as Azure Event Hubs or Apache Kafka.

• Understanding of data mesh principles and distributed data ownership.

• Experience working within healthcare or another regulated industry.

• Familiarity with HIPAA requirements or healthcare data standards such as FHIR and HL7.

Working Environment/Physical Demands:

• 100% Remote in the United States

• 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

\nTotal Rewards: Generous annual bonus opportunity

401(k) with Employer Match

Flexible Time Off: take time off when you need it without worrying about available hours

11 paid holidays

Your Day Your Way - Celebrate a day of cultural or social significance to you

Access to Linkedin Learning courses for professional development

Insurance: Choice of Medical, Dental, and Vision plans

Health Savings Account with employer match

Flexible Spending Account

100% Company-Paid Parental leave (After 6 months with the company)

Company-Paid Life Insurance and Short/Long Term Disability Insurance

Nextech Luminary Peer Recognition Program

Employee Assistance Program with free counseling sessions available

Corporate Discounts on Retail, Travel, and Entertainment