Data Engineer Azure Cloud & Enterprise Data Solutions

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!