Azure Data Engineer & Analytics Platform Architect

CompuNet, Inc.

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
PTO
401(k) matching
Profit sharing
Bonuses

Job summary

CompuNet, Inc. is seeking a Microsoft Data Engineer to design, build, and modernize enterprise data platforms using Azure Data Services, Fabric, and related technologies. You will architect secure data platforms, develop ETL/ELT pipelines, and enable analytics with Power BI.

The role requires advanced SQL, data modeling, and experience with data warehouses, data lakes, and governance. Collaboration with stakeholders and hands-on implementation are key.

Qualifications

  • Design and support modern Microsoft data platforms in Azure and Microsoft Fabric.
  • Build enterprise data warehouses, data lakes, and lakehouse solutions.
  • Develop ETL/ELT pipelines using Azure Data Factory, Fabric Data Factory, Synapse Pipelines, and Databricks.
  • Create scalable data models and analytics solutions.
  • Implement governance, lineage, security, and compliance controls.
  • Optimize performance, scalability, reliability, and cost.
  • Support Power BI, analytics, and AI initiatives.
  • Implement DevOps, Git, and CI/CD practices.

Responsibilities

  • Serve as a Microsoft Data subject matter expert, lead customer engagements, develop Statements of Work, and maintain relevant certifications.

Skills

Azure Data Services
SQL
Data Modeling
Databricks
Power BI
Python
Spark
DataOps
Synapse

Education

Bachelor’s degree

Tools

Snowflake
Databricks

Job description

CompuNet, Inc. is seeking a Microsoft Data Engineer to design, build, and modernize enterprise data platforms using Azure Data Services, Fabric, and related technologies. You will architect secure data platforms, develop ETL/ELT pipelines, and enable analytics with Power BI.

The role requires advanced SQL, data modeling, and experience with data warehouses, data lakes, and governance. Collaboration with stakeholders and hands-on implementation are key.

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