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Senior Data Engineer

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Data EngineerData
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Quick Summary

Key Responsibilities

Design and build robust data pipelines and lakehouse solutions using Databricks, Microsoft Fabric, PySpark, and Python. Design AI-ready schemas, semantic layers,

Technical Tools
Data EngineerData
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.
  • 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. 
  • 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.
  • 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.
  • 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
  • Total 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
     

    Location & Eligibility

    Where is the job
    Worldwide
    Fully remote, anywhere in the world
    Who can apply
    US

    About this job

    Who can apply
    United States
    Posted
    Today
    Employer
    has 6 open jobs on Jobera.

    Listing Details

    Posted
    November 6, 2026
    First seen
    November 6, 2026
    Last seen
    November 6, 2026

    Posting Health

    Days active
    0
    Repost count
    1
    Trust Level
    62%
    Scored at
    November 6, 2026

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    Senior Data Engineer