Remote Data Solutions Engineer - Azure & Fabric

SHI; Dover (DE); Remote; USD 156,000 - 181,000; Full time

Job summary

SHI is seeking an experienced Services Solutions Engineer, Data Engineering to design, build, and deliver enterprise-scale data platforms using Microsoft Azure and Fabric. You will work with stakeholders to implement secure, scalable pipelines supporting analytics, reporting, and AI use cases in a predominantly remote setup.

The role emphasizes hands-on engineering, ownership of data workstreams, and collaboration with Solution Engineers, Project Managers, and client teams on state level and

Qualifications

• Hands-on data engineering with Azure and Fabric in enterprise-scale projects.
• Experience designing and operating data lakehouse and warehouse architectures.
• Ability to translate business needs into practical technical solutions.
• Familiarity with HIPAA, PII handling and regulated data governance.

Responsibilities

• Design, build, and implement data ingestion, transformation, and integration pipelines.
• Develop and optimize data lakehouse and warehouse solutions in Azure and Fabric.
• Maintain data models, ETL/ELT processes, and historical data versioning.
• Configure and manage Azure Data Lake Storage Gen2 environments.
• Implement data quality controls and data security practices.
• Collaborate with BI and analytics teams for downstream reporting and AI use cases.
• Produce high quality technical documentation and runbooks.
• Participate in code reviews, testing, and CI/CD practices.
• Provide post-implementation support and address delivery risks.

Skills

Data engineering

Azure data services

Data lakehouse design

Security & compliance

Client collaboration

Tools

Azure Data Factory

Azure Synapse

Databricks

SQL Server

Azure SQL

ADLS Gen2

Microsoft Fabric

Job description

SHI is seeking an experienced Services Solutions Engineer, Data Engineering to design, build, and deliver enterprise-scale data platforms using Microsoft Azure and Fabric. You will work with stakeholders to implement secure, scalable pipelines supporting analytics, reporting, and AI use cases in a predominantly remote setup.

The role emphasizes hands-on engineering, ownership of data workstreams, and collaboration with Solution Engineers, Project Managers, and client teams on state level and