Nextech offers EHR, Practice Management, Patient Engagement and Revenue Management that enables productivity and profitability for specialty practices.
About the role
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. The team has deep SQL Server expertise, and this position represents an intentional step toward expanding its capabilities in modern data engineering, lakehouse architecture, and agentic AI. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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 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
More about this role
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.
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. The team has deep SQL Server expertise, and this position represents an intentional step toward expanding its capabilities in modern data engineering, lakehouse architecture, and agentic AI.
This individual 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 teams that depend on accurate and accessible data. During the first...
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