Senior Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Nextech Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

Nextech Systems is a company that provides customizable, cloud-based software solutions for medical practices, with a focus on specialties such as Dermatology, Med Spa, Ophthalmology, Orthopedics, and Plastic Surgery. Their solutions include features like Electronic Health Records (EHR) and Practice Management systems, designed to streamline operations, increase efficiency, and enhance patient care. Nextech leverages advanced technologies such as Artificial Intelligence to improve practice revenue cycle management and patient retention. The company's software is trusted by over 16,000 medical practices, helping them attract new patients, optimize staff efficiency, and improve the quality of care. Nextech aims to simplify the healthcare process for specialty providers, offering a user-friendly interface that reduces administrative burdens and allows healthcare professionals to focus more on patient care.

📋 Description

• Optimize, support, and deploy cloud-based data systems powering mission-critical healthcare applications • Build secure, scalable, and compliant database solutions using Azure SQL Server and other cloud-native technologies • Support the evolution of the analytics lakehouse and its data sources • 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 data querying • Build automated validation processes for agent-generated queries • Pilot agentic automation for data quality and reconciliation workflows, measuring accuracy and maintaining rollback plans • Curate and maintain the semantic layer to reduce incorrect AI-agent responses • Catalog and steward enterprise data assets for analytics, financial planning, and product engineering • Partner 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 • Mentor junior engineers on data engineering best practices, architecture patterns, and technical standards • Contribute to data protection, security, and compliance reviews, including HIPAA requirements where relevant • Ensure activities comply with EEO laws, HIPAA, ERISA, and other applicable regulations • Carry out additional responsibilities assigned based on business needs

🎯 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: Hands-on production experience with Azure SQL, SQL Server, or Azure SQL Managed Instance • Preferred: Proficiency with T-SQL and PowerShell for automation and operational support • Preferred: Experience with infrastructure-as-code tools such as Terraform, Bicep, or Azure Resource Manager templates • Preferred: Familiarity with streaming data architectures and technologies such as Azure Event Hubs or Apache Kafka • Preferred: Understanding of data mesh principles and distributed data ownership • Preferred: Experience working within healthcare or another regulated industry • Preferred: Familiarity with HIPAA requirements or healthcare data standards such as FHIR and HL7 • Ability to work in the United States • Travel as needed, not to exceed 10%

🏖️ Benefits

• 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 • 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

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