Senior Azure Data Engineer: Lakehouse & Pipelines Lead

United Network for Organ Sharing (UNOS)

Richmond (VA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

United Network for Organ Sharing (UNOS) is seeking a Senior Data Engineer to design and implement end-to-end data solutions in a modern Azure-based cloud environment. You will build Data Lakehouse, scalable pipelines, and integrations while mentoring junior engineers and leading data initiatives.

You will partner with data scientists, analysts, and stakeholders to ensure data is accurate, accessible, and optimized for analytics, reporting, and operations, with a focus on reliability and

Qualifications

  • 8+ years of hands-on experience in data engineering for enterprise-scale solutions.
  • 2+ years of experience developing and operating Azure cloud-native data platforms.
  • Strong expertise with Azure Data Factory, Databricks and related services.

Responsibilities

  • Architect and implement secure, scalable data pipelines in Azure.
  • Design and maintain ETL/ELT pipelines for large volumes of data.
  • Lead data architecture discussions and performance tuning.
  • Mentor junior engineers and lead code reviews.
  • Collaborate with data scientists, analysts, and BI teams.
  • Drive CI/CD adoption and automated data quality checks.
  • Ensure data quality, monitoring, and availability in production.

Skills

MS SQL Server
Python (pandas, PySpark)
Azure Data Factory
Azure Functions
Azure Data Lake Storage
Azure Databricks
Spark
Delta Lake
Data Lakehouse
ETL/ELT pipelines
Git
CI/CD pipelines
REST APIs
Data warehousing

Education

4-year degree in computer science, engineering or other related IT field of study, or equivalent professional work experience

Tools

Databricks
Azure DevOps

Job description

United Network for Organ Sharing (UNOS) is seeking a Senior Data Engineer to design and implement end-to-end data solutions in a modern Azure-based cloud environment. You will build Data Lakehouse, scalable pipelines, and integrations while mentoring junior engineers and leading data initiatives.

You will partner with data scientists, analysts, and stakeholders to ensure data is accurate, accessible, and optimized for analytics, reporting, and operations, with a focus on reliability and

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