Remote Azure Data Engineer – Lakehouse & AI Pipelines

SHI International Corp.; United States; On-site; USD 156,000 - 181,000; Full time

Job summary

SHI International Corp. is seeking a data engineering Solutions Engineer to design, build, and deliver enterprise-scale data platforms using Microsoft Azure and Fabric. The role emphasizes hands-on development, secure and scalable pipelines, and collaboration with stakeholders to support analytics and AI use cases.

The position is primarily remote, with a home-office setup per policy. Ideal candidates will have Azure Data Factory, Synapse, Databricks, and Fabric experience, plus strong

Qualifications

• Proven hands-on experience delivering modern data engineering solutions on Microsoft Azure and/or Microsoft Fabric.
• Experience designing and operating production data platforms with data modeling and analytics.
• Strong understanding of data security, governance, and compliance concepts.

Responsibilities

• Design, develop, and implement data ingestion, transformation, and integration pipelines using Azure data services.
• Build and optimize data lakehouse and warehouse solutions in Azure and Microsoft Fabric.
• Collaborate with BI and analytics teams to prepare data for reporting and AI workloads.
• Produce high-quality technical documentation including design artifacts and runbooks.
• Follow CI/CD and environment promotion practices; support post-implementation activities.

Skills

Data engineering

Azure cloud

Problem-solving

Communication

Consulting experience

CI/CD

Security & governance

Education

Microsoft Certified Azure Data Engineer Associate

Microsoft Certified Fabric Analytics Engineer Associate or Azure Solutions Architect Expert

Tools

Azure Data Factory

Azure Synapse

Databricks

SQL Server

Azure SQL

ADLS Gen2

Microsoft Fabric

Power BI

Job description

SHI International Corp. is seeking a data engineering Solutions Engineer to design, build, and deliver enterprise-scale data platforms using Microsoft Azure and Fabric. The role emphasizes hands-on development, secure and scalable pipelines, and collaboration with stakeholders to support analytics and AI use cases.

The position is primarily remote, with a home-office setup per policy. Ideal candidates will have Azure Data Factory, Synapse, Databricks, and Fabric experience, plus strong