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22 часа назад

Data Engineer (Azure/Snowflake)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer (Azure/Snowflake): Expanding and optimizing a modern data lakehouse environment with an accent on scalable data pipelines, dbt modeling, and cloud data platform support. Focus on engineering ingestion and transformation workflows, performance tuning for Snowflake, and automating data workflows using Python and SQL.

Location: Must be based in Tampa or Arlington, TX; only U.S. citizens are eligible

Company

hirify.global is a global leader in defense, security, and civil aviation, specializing in digitally immersive training and critical operations solutions.

What you will do

  • Build, enhance, and maintain scalable data pipelines using Azure Data Factory.
  • Develop and optimize dbt models for Snowflake and Azure-based lakehouse workloads.
  • Engineer ingestion, transformation, and orchestration workflows across Azure Data Lake Storage.
  • Implement performance tuning, cost optimization, and data modeling best practices for Snowflake.
  • Automate data workflows using high-quality SQL, Python, and PowerShell.
  • Partner with business teams and DBAs to translate data requirements into robust engineering solutions.

Requirements

  • BS in computer science, information technology, or a related technical field.
  • 3+ years of professional experience in data engineering.
  • Strong expertise with Azure Data Factory and Snowflake (warehousing, Snowpipe, RBAC).
  • Proficiency with dbt and advanced SQL skills for complex datasets.
  • Must be a U.S. citizen due to government contract requirements.
  • Must be eligible for DoD Personal Security Clearance.

Nice to have

  • Experience with Azure GCC High, IL5, or other high-security cloud environments.
  • Familiarity with SQL Server administration concepts.
  • Experience with Azure DevOps, Git, or similar CI/CD and version control tools.
  • Knowledge of data governance frameworks, lineage, and cataloging tools.

Culture & Benefits

  • Comprehensive and competitive benefits package.
  • Flexibility that promotes a healthy work-life balance.
  • Work environment focused on value, respect, and safety.
  • Opportunities for professional development, advancement, and recognition.
  • Culture driven by empowerment, innovation, and excellence.

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