Data Engineer Azure Cloud & Enterprise Data Solutions

Overview

Remote
On Site
Full Time
Accepts corp to corp applications
Contract - 12+ Month(s)

Skills

ETL
Data modeling
data integration
Agile/Scrum
data pipelines
cross-functional
Azure cloud services
Azure cloud ecosystem
Slack

Job Details

Job Title: Data Engineer Azure Cloud & Enterprise Data Solutions
Location: Remote - USA (EST)

Why Join Us?
  • Full time job with enterprise-scale visibility
  • Work on high-impact cloud data initiatives
  • Hybrid model offering flexibility and in-person collaboration
  • Engage with agile teams and cross-functional stakeholders
  • Opportunities to influence architecture and governance processes
About the Role

We are hiring a Senior Azure Data Engineer to support analytics and modernization projects for a major Client. This role requires deep expertise in Azure data services, strong hands-on skills in ETL/ELT pipeline development, and a solid background in data governance.

Key Responsibilities

  • Design, build, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics

  • Develop scalable ETL/ELT workflows with Python, SQL, and Apache Spark

  • Implement robust data models aligned to enterprise architecture standards

  • Engineer analytics and data integration pipelines in cloud/hybrid environments

  • Support data governance efforts including metadata management, data lineage, and cataloging

  • Drive data quality and compliance across regulated domains (healthcare, finance, or federal environments)

  • Collaborate in Agile teams and contribute to CI/CD pipelines via Azure DevOps

Required Skills & Experience

  • 10+ years of experience in data engineering, including 5+ years on Azure

  • Proven expertise in:

    • Azure Data Factory

    • Databricks

    • Azure Synapse

    • Apache Spark, SQL, and Python

  • Strong background in building cloud-native data solutions and modeling complex data sets

  • Experience in regulated or federal data environments

  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)

  • Excellent communication and stakeholder management skills

Nice to Have

  • Familiarity with Azure DevOps and CI/CD automation

  • Experience authoring secure, scalable ETL workflows in compliance-focused environments

  • Ability to lead and normalize data structures for enterprise use

  • Strong knowledge of data cataloging, lineage tracking, and data governance best practices

  • Passion for documentation, standards, and continuous improvement

Ready to build the future of data-driven solutions? Apply now and be part of something impactful!

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