Data Engineer Azure Cloud Enterprise Data Solutions

Globenet Consulting Corp; Bellevue (WA); Remote; USD 100,000 - 130,000; Full time

Job summary

A technology consulting firm is looking for a Data Engineer to drive enterprise data transformation using Azure cloud solutions. The ideal candidate will have extensive experience in data engineering, cloud infrastructure, and be well-versed in tools such as Azure Data Factory. This long-term remote role offers flexibility and the opportunity to work on high-impact projects in an agile environment.

Benefits

Competitive salary

Opportunity for advancement

Training & development

Qualifications

• 8+ years in data engineering or cloud infrastructure environments.
• Hands-on experience with Azure Cloud Services.
• Proven ability to independently lead technical implementations.

Responsibilities

• Design, build, and optimize scalable data pipelines.
• Re-engineer existing data processes for efficiency.
• Ensure compliance with enterprise data governance frameworks.

Skills

Data modeling

Transformation

ETL frameworks

Agile/Scrum development

Azure Cloud Services

Collaboration platforms (Slack, Jira, Confluence)

Cross-team coordination

Tools

Azure Data Factory

Azure Synapse

Azure SQL

Job description

Job Title: Data Engineer – Azure Cloud & Enterprise Data Solutions

Location: Remote – USA (Eastern Time Zone Preferred)

Engagement: Long-Term Contract

Why This Role Stands Out

• Long-term contract with enterprise-wide visibility
• High-impact projects in Azure cloud data engineering
• Flexible hybrid model – remote-first with optional onsite collaboration
• Agile work environment with strong team culture
• Opportunity to influence architectural decisions and governance frameworks

About the Role

This opportunity allows you to drive enterprise data transformation through scalable cloud-based integration. As a Data Engineer, you’ll play a key role in building reliable data pipelines, optimizing data operations, and contributing to architectural best practices.

Responsibilities

• Design, build, and optimize scalable data pipelines using the Azure cloud stack
• Re-engineer existing data processes for efficiency and reliability
• Collaborate with cross-functional teams in Agile/Scrum settings
• Ensure compliance with enterprise data governance frameworks
• Partner with support and operations teams for seamless implementation
• Deliver clean, maintainable, and production-ready code
• Contribute to technical architecture and strategic planning discussions

Required Skills & Experience

• 8+ years in data engineering or cloud infrastructure environments
• Hands-on experience with Azure Cloud Services (e.g., Azure Data Factory, Azure Synapse, Azure SQL)
• Data modeling, transformation, and ETL frameworks
• Agile/Scrum development practices
• Collaboration platforms such as Slack, Jira, and Confluence
• Proven ability to independently lead technical implementations
• Experience in cross-team coordination and technical delivery

Preferred Qualifications

• Azure Data Engineering certifications
• Exposure to fast-paced, innovation-driven environments
• Understanding of data governance and compliance protocols

Benefits include a competitive salary, opportunity for advancement, training & development, and a remote work environment.

Ready to make an impact in enterprise data engineering? Apply now and help shape the future of data-driven platforms.