Remote Data Engineering Solutions Engineer - Azure & Fabric

SHI

Sacramento (CA)

Remote

USD 156,000 - 181,000

Full time

14 days+
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Benefits offered by this job

Diversity & inclusion culture
Career growth opportunities
Health, wellness & financial benefits
Remote-first with home office setup

Job summary

SHI is hiring a Solutions Engineer, Data Engineering to design and deliver enterprise-scale data platforms using Azure and Microsoft Fabric. You will own data pipelines, lakehouse architecture, and governance in a primarily remote environment, collaborating with client stakeholders and cross-functional teams.

The role emphasizes hands-on engineering, secure data practices, and supporting analytics, reporting, and AI workloads across regulated environments.

Qualifications

  • Hands-on data engineering on Azure and Fabric platforms.
  • Experience in building scalable data pipelines and lakehouse/warehouse solutions.
  • Knowledge of data security, governance and compliance.
  • Background in consulting or project-based delivery environments.

Responsibilities

  • Design, build and optimize data ingestion, transformation, and integration pipelines using Azure data services.
  • Develop scalable data lakehouse/warehouse architectures with Azure and Fabric.
  • Maintain data models, ETL/ELT processes and historical data versioning.
  • Implement data governance, security, lineage and quality controls.
  • Collaborate with BI/analytics teams and translate business needs into technical solutions.

Education

Microsoft Certified Azure Data Engineer Associate
Microsoft Certified Fabric Analytics Engineer Associate

Tools

Azure Data Factory
Azure Synapse
Databricks
SQL Server
Azure SQL
ADLS Gen2
Microsoft Fabric

Job description

SHI is hiring a Solutions Engineer, Data Engineering to design and deliver enterprise-scale data platforms using Azure and Microsoft Fabric. You will own data pipelines, lakehouse architecture, and governance in a primarily remote environment, collaborating with client stakeholders and cross-functional teams.

The role emphasizes hands-on engineering, secure data practices, and supporting analytics, reporting, and AI workloads across regulated environments.

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