Senior Data Engineer - Nextech

About Nextech

Nextech is a leader in specialty healthcare technology solutions. We invest in our employees through competitive pay, generous bonus structures, great healthcare, comprehensive wellness programs, and strong professional development opportunities.

Job Summary

The Senior Data Engineer will be part of a six-person Data Services team supporting mission-critical healthcare applications, including real-time clinical workflows, patient data analytics, and regulatory reporting. This position represents an intentional step toward expanding team capabilities in modern data engineering, lakehouse architecture, and agentic AI.

In this role, you will help build and enhance the enterprise lakehouse, curate the semantic layer needed to make AI-driven analytics reliable, and partner closely with Product Engineering, FP&A, and other cross-functional teams. You will drive technical debt reduction, act as a trusted technical partner across product roadmaps, and mentor junior engineers.

Key Responsibilities

• 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 for accurate AI agent querying.
• Build automated validation processes for agent-generated queries and pilot agentic automation for data quality workflows.
• Curate and maintain the semantic layer to ground AI agents and reduce ambiguous or incorrect responses.
• Catalog and steward enterprise data assets supporting internal analytics, FP&A, and product engineering.
• Partner proactively with Product Engineering, FP&A, and other stakeholders to understand and shape data requirements.
• Troubleshoot performance issues and support SQL Server and Azure SQL environments.
• Mentor junior and mid-level engineers on data engineering best practices and architectural patterns.
• Ensure compliance with Equal Employment Opportunity laws, HIPAA, ERISA, and data protection standards.

Requirements

• 7+ years of production experience in data engineering roles building scalable data pipelines.
• Advanced proficiency with Python and PySpark / Apache Spark in production environments.
• Hands-on production experience with Databricks, Microsoft Fabric, or comparable modern data platforms.
• Proven experience implementing lakehouse architectures using Delta Lake, Parquet, or equivalent technologies.
• Experience designing AI-ready schemas, semantic layers, or metadata structures for downstream AI/ML query patterns.
• Experience with agentic or automation-driven data quality workflows.
• Strong stakeholder partnership skills with product, analytics, finance, or business teams.
• Familiarity with Microsoft Azure cloud concepts (PaaS, IaaS, Azure SQL, hybrid models).
• Track record of mentoring junior and mid-level engineers.

Preferred Qualifications

• Production experience with Azure SQL, SQL Server, or Azure SQL Managed Instance.
• Proficiency with T-SQL and PowerShell for operational support and automation.
• Infrastructure-as-code experience (Terraform, Bicep, or ARM templates).
• Familiarity with streaming architectures (Azure Event Hubs, Apache Kafka).
• Understanding of data mesh principles and distributed data ownership.
• Background in healthcare or another regulated industry, including familiarity with HIPAA, FHIR, or HL7 standards.

Work Environment & Travel

• 100% Remote in the United States
• Occasional travel required (less than 10%)

Benefits & Perks

• Generous annual bonus opportunity
• 401(k) with employer match
• Flexible Time Off + 11 paid holidays + "Your Day Your Way" floating cultural holiday
• Medical, Dental, and Vision insurance plans with HSA employer match & FSA
• 100% Company-Paid Parental Leave (after 6 months)
• Company-paid Life, Short-Term, and Long-Term Disability Insurance
• LinkedIn Learning access for professional development
• Wellness programs, EAP counseling, and corporate discounts