Remote Azure Data Engineer - Master ADF & Integrations

United States Digital Space LLC

United States

Remote

USD 123,303 - 148,494

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking an experienced Azure Data Engineer to support EDH initiatives, focusing on data integration with Azure Data Factory and Azure Integration Services. You will build scalable ETL/ELT pipelines and design data solutions for enterprise use.

Responsibilities include designing, developing, and maintaining ADF pipelines, integrating applications, and troubleshooting data pipelines while collaborating with business and technical teams.

Qualifications

  • 5+ years of experience in Azure Data Engineering.
  • Strong experience with Azure Data Factory (ADF).
  • Experience with Azure Integration Services (Logic Apps, Service Bus, Event Grid, API Management, or related services).
  • Good knowledge of SQL and data integration concepts.
  • Experience building and maintaining ETL/ELT pipelines.
  • Familiarity with Azure DevOps and CI/CD is a plus.
  • Strong analytical and problem‑solving skills.
  • Excellent communication and collaboration skills.

Responsibilities

  • Design, develop, and maintain Azure data integration solutions.
  • Build and optimize ADF pipelines.
  • Integrate enterprise applications using Azure Integration Services.
  • Troubleshoot data pipeline and integration issues.
  • Work closely with business and technical teams to deliver scalable data solutions.

Skills

ADF
Azure Integration Services
SQL
ETL/ELT pipelines
Azure DevOps
Communication

Tools

Azure DevOps

Job description

United States Digital Space LLC is seeking an experienced Azure Data Engineer to support EDH initiatives, focusing on data integration with Azure Data Factory and Azure Integration Services. You will build scalable ETL/ELT pipelines and design data solutions for enterprise use.

Responsibilities include designing, developing, and maintaining ADF pipelines, integrating applications, and troubleshooting data pipelines while collaborating with business and technical teams.

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