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# Data Engineer II

- **Company:** Lever, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Audit Trail, Microsoft Azure, Big Data, C Sharp (Programming Language), Cloud Computing, Cloud Database, Distributed Data Store, Infrastructure as a Service (IaaS), Python (Programming Language), Microsoft SQL Server, SQL Azure, Platform as a Service (PAAS), Performance Tuning, Windows PowerShell, Data Streaming, Transact-SQL, Parquet, Fast Healthcare Interoperability Resources, HybridCloud, Containerization, Data Lakes, Infrastructure Automation Frameworks, Data Lineage, Health Level Seven International, Bicep, Enterprise Integration, Apache Kafka, Data Management, Terraform, Stream Analytics, Data Pipelines, Databricks
- **Published:** June 4, 2026
- **Apply:** https://jobs.lever.co/nextech/5f2f3398-12f2-45c2-921e-f22f915e1c15

## About the Role

* 3-5 years of experience with SQL Server and Azure SQL in production environments, ideally within healthcare or regulated industries
 * Deep understanding of cloud database architecture, PaaS vs IaaS, and hybrid cloud models
 * Strong command of T-SQL, PowerShell, and optionally Python or C# for automation and scripting
 * Experience with infrastructure-as-code tools like Terraform, Bicep, or ARM templates
 * Familiarity with FHIR, HL7, or other healthcare data standards is a plus
 * Proven ability to work cross-functionally with product, compliance, and clinical teams
 * Excellent communication and documentation skills, especially around data lineage and auditability, * Experience with Azure Fabric, Databricks or other big data platforms for large-scale healthcare analytics
 * Exposure to Python for data engineering, automation, or ML pipeline integration
 * Basic understanding of streaming data architectures (e.g., Azure Event Hubs, Kafka) and real-time analytics
 * Familiarity with Delta Lake, Parquet, or Lakehouse architectures
 * Understanding of data mesh principles and distributed data ownership models
 * Microsoft Certified: Azure Database Administrator Associate or equivalent

## Description

We're looking for a Data Engineer II to help with optimization, support and deployment of our cloud-based data systems that power mission-critical healthcare applications. You'll play a key role in building secure, scalable, and compliant database solutions using Azure SQL Server, and other cloud-native technologies. Additionally, you will work in supporting the evolution of our analytics lakehouse and all of its data sources. Our platform supports real-time clinical workflows, patient data analytics, and regulatory reporting-so precision, performance, and privacy are paramount.
All activities must be in compliance with Equal Employment Opportunity laws, HIPAA, ERISA and other regulations, as appropriate., * Design, deploy, maintain and support cloud-based SQL Server environments across VM's, Azure SQL and Azure SQL Managed Instance platforms

 * Troubleshoot performance issues using standard tools and monitoring platforms, improving client outcomes within our product data platforms
 * Applies best practices around the management, governance, and support of our data platforms as prescribed by senior engineers and the general community
 * Takes ownership of support issues, working with other engineering teams on data platform product solutions
 * Occasionally mentor junior engineers as well as training the entire team on new processes or practices to improve the work environment
 * Collaborates with internal teams to ensure solutions align with customer goals
 * Proactively identifies and resolves issues impacting customer experience building trust through consistent delivery and responsiveness
 * Executes standardized data protection practices across all data platforms
 * Develops and executes pre-defined data pipeline patterns to build out our analytics and reporting Lakehouse, * 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


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