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Azure Data Engineer

AttainX,Inc

Salary not specified
Oct 6, 2025
Herndon, VA, US
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AttainX Inc. is seeking an experienced Azure Data Engineer to evaluate, optimize, and modernize enterprise data warehouse environments, aligning with the government's evolving Data/AI strategies.

Requirements

  • 5+ years of demonstrated experience engineering Azure data solutions (ETL/ELT, ADF, Synapse, Data Lake, SQL) to optimize performance, automate pipelines, and deliver scalable, future-ready data environments aligned to organizational strategy.
  • Microsoft Azure Data Engineer Associate certification.
  • 5+ years in Azure Data Engineering (ADF, Synapse, Data Lake, SQL).
  • Background in SQL, data modeling, OLAP, and ETL/ELT processes.
  • Experience building and optimizing metadata-driven ETL pipelines.
  • Understanding of programming concepts (Python, PowerShell, Java, JavaScript, PL/SQL) as relevant to the customer data environment.
  • Familiarity with BI/reporting platforms (Microsoft Fabric, Power BI) to integrate engineering solutions.

Responsibilities

  • Assess the current state of the enterprise data warehouse, identifying gaps and optimization opportunities.
  • Build and maintain ETL/ELT pipelines, with emphasis on metadata models and automation scripts to improve performance and ensure smoother transitions.
  • Deliver hands-on engineering solutions across Azure Data Factory, Synapse Analytics, Data Lake, and SQL/Managed Instances.
  • Prepare designs for supporting database systems and implement measures to improve performance and scalability.
  • Maintain awareness of industry trends in BI/reporting (Microsoft Fabric, Power BI) and apply them in support of engineering tasks.
  • Develop, enhance, and troubleshoot pipelines, datasets, SQL queries, stored procedures, and integrated runtimes in the Azure data environment Data engineer.
  • Research, engineer, and implement new technologies to enhance data factory operations, migrations, and integrations Data engineer.

Other

  • US Citizen w/ Active Secret Clearance
  • Ability to adapt quickly in large-scale enterprise implementation environments.
  • Excellent communication and collaboration skills.
  • Ability to translate technical solutions into business value.
  • Proactive, solution-oriented mindset with flexibility to adapt.