Remote Azure Data Engineer: Lakehouse & AI Pipelines

SHI; Frankfort (KY); On-site; USD 156,000 - 181,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

401(k) plan

Flexible spending account

Job summary

SHI International Corp. is seeking a Services Solutions Engineer, Data Engineering to design, build, and deliver enterprise-scale data pipelines using Azure and Fabric.

You will work with stakeholders to implement secure, scalable data platforms that support analytics and AI use cases. This hands-on, delivery-focused role includes initial work on state-level public sector and regulated data lakehouse projects.

Qualifications

• Hands-on data engineering with Azure Fabric or Azure data services.
• Experience delivering enterprise data platforms for analytics, reporting and AI.
• Knowledge of data security, governance, and regulatory requirements (HIPAA/PII).
• Familiarity with CI/CD and modern engineering practices.

Responsibilities

• Design, develop, and implement data ingestion, transformation, and integration pipelines using Azure services.
• Build and optimize data lakehouse/warehouse solutions for scalability, reliability, and cost efficiency.
• Develop data models, ETL/ELT processes, and historical data versioning for multi-source datasets.
• Configure and manage ADLS Gen2 environments including lifecycle management and archival strategies.
• Collaborate with BI/analytics teams to prepare data for reporting, analytics, and AI consumption.
• Deliver documentation, runbooks, and reusable engineering templates.

Skills

Azure Data Factory

Azure Synapse Analytics

Microsoft Fabric

Data Lakehouse/Warehouse

Data Modeling

ETL/ELT

Security & Compliance

CI/CD

Client Stakeholders

Education

Microsoft Certified Azure Data Engineer Associate

Microsoft Fabric Analytics Engineer (Preferred)

Azure Solutions Architect Expert (Preferred)

Tools

Databricks

SQL Server

Azure Data Lake Storage Gen2

Job description

SHI International Corp. is seeking a Services Solutions Engineer, Data Engineering to design, build, and deliver enterprise-scale data pipelines using Azure and Fabric.

You will work with stakeholders to implement secure, scalable data platforms that support analytics and AI use cases. This hands-on, delivery-focused role includes initial work on state-level public sector and regulated data lakehouse projects.