Remote opportunity at
Nextech SystemsSenior Data Engineer
Nextech Systems, a specialty healthcare technology solutions provider, is hiring a remote Senior Data Engineer. This role operates within a six-person Data Services team responsible for…
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About This Role
Nextech Systems, a specialty healthcare technology solutions provider, is hiring a remote Senior Data Engineer. This role operates within a six-person Data Services team responsible for supporting mission-critical healthcare applications, patient data analytics, and real-time clinical workflows. The position focuses on expanding the organization's capabilities in modern data engineering, lakehouse architecture, and agentic AI. The professional selected for this job will help build and enhance the enterprise lakehouse, curate the…
Job Description
Nextech Systems, a specialty healthcare technology solutions provider, is hiring a remote Senior Data Engineer. This role operates within a six-person Data Services team responsible for supporting mission-critical healthcare applications, patient data analytics, and real-time clinical workflows. The position focuses on expanding the organization's capabilities in modern data engineering, lakehouse architecture, and agentic AI. The professional selected for this job will help build and enhance the enterprise lakehouse, curate the semantic layer to support AI-driven analytics, and collaborate with Product Engineering and financial planning teams. During the first year, expectations include reducing technical debt within the enterprise lakehouse, serving as a technical partner for product roadmaps, and mentoring junior engineers. This opportunity is well suited for a data engineer who is passionate about lakehouse architecture and emerging agentic AI patterns within a regulated healthcare environment where data accuracy is critical. All job duties must be performed in compliance with relevant regulations such as HIPAA, ERISA, and Equal Employment Opportunity laws. Activities require working primarily in front of a computer monitor, with occasional travel not exceeding ten percent.
Responsibilities
- Design and build data pipelines and lakehouse solutions using Microsoft Fabric, Databricks, Python, and PySpark
- Create AI-ready schemas, semantic layers, and metadata structures for accurate querying by AI agents
- Develop automated validation processes for queries generated by agents
- Pilot agentic automation workflows for data reconciliation and quality while measuring accuracy and maintaining rollback plans
- Maintain and curate the semantic layer that grounds AI agents to minimize incorrect responses
- Steward and catalog enterprise data assets to support product engineering, financial planning, and internal analytics
- Collaborate proactively with stakeholders across Product Engineering and finance to identify data needs
- Troubleshoot performance issues and support Azure SQL and SQL Server environments
- Mentor junior engineers regarding architecture patterns, data engineering standards, and best practices
- Contribute to data security, protection, and compliance reviews including HIPAA requirements
Requirements
- Seven or more years of production experience in data engineering, building and maintaining large-scale data pipelines
- Advanced proficiency in Python alongside PySpark or Apache Spark in production settings
- Hands-on production experience with modern data platforms like Microsoft Fabric or Databricks
- Demonstrated background in operating, designing, and implementing lakehouse architectures utilizing Parquet, Delta Lake, or equivalent technologies
- Experience designing semantic layers, AI-ready schemas, or metadata structures oriented toward downstream machine learning or AI query patterns
- Familiarity with agentic or automation-driven data quality workflows
- Demonstrated capability to partner proactively with business, finance, analytics, or product stakeholders
- Familiarity with Microsoft Azure cloud concepts including infrastructure as a service, platform as a service, hybrid cloud models, and Azure SQL
- Willingness to build deeper operational expertise in SQL Server and Azure SQL environments
- Experience mentoring mid-level or junior engineers on technical standards and best practices
Qualifications
- Production experience with Azure SQL Managed Instance, SQL Server, or Azure SQL
- Proficiency with PowerShell and T-SQL for operational support and automation
- Experience utilizing infrastructure-as-code tools including Bicep, Terraform, or Azure Resource Manager templates
- Familiarity with streaming data technologies and architectures such as Apache Kafka or Azure Event Hubs
- Understanding of distributed data ownership and data mesh principles
- Experience working in healthcare or other regulated industries
- Familiarity with healthcare data standards like HL7 and FHIR, or HIPAA requirements
Core Skills
Benefits
- Generous annual bonus opportunity
- 401(k) plan with employer match
- Flexible Time Off policy
- Eleven paid holidays
- Your Day Your Way program to celebrate a day of cultural or social significance
- Access to LinkedIn Learning professional development courses
- Choice of medical, dental, and vision insurance plans
- Health Savings Account with employer match
- Flexible Spending Account
- One hundred percent company-paid parental leave after six months of employment
- Company-paid life insurance
- Short-term and long-term disability insurance
- Nextech Luminary Peer Recognition Program
- Employee Assistance Program featuring free counseling sessions
- Corporate discounts covering retail, travel, and entertainment
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting specifies that the role is 100% remote in the United States.
What is the salary for this role?
The salary is not stated in the job posting.
What are the core technical experience requirements?
Candidates must have at least seven years of production data engineering experience, advanced proficiency in Python and PySpark or Apache Spark, hands-on experience with platforms like Databricks or Microsoft Fabric, and lakehouse architecture experience.
Does the position require travel?
Yes, long-distance or air travel may be needed as business requires, but it will not exceed ten percent.
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