Azure Data Engineer: Lakehouse & AI Pipelines (Remote)

SHI; Denver (CO); Remote; USD 156,000 - 181,000; Full time

Benefits offered by this job

Diversity commitment

Growth opportunities

Health benefits

Facilities and tools

Job summary

SHI International Corp. is seeking a solutions engineer in the Data Engineering space to design, build, and deploy enterprise-scale data platforms on Microsoft Azure and Fabric.

You will collaborate with project managers, engineers, and client stakeholders to deliver secure, scalable data pipelines that support analytics, reporting, and AI workloads. The role emphasizes hands-on execution, architecture design, and continuous delivery in a remote-first setup with state-level public sector and

Qualifications

• ,

Responsibilities

• Design, develop, and implement data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and related Azure data services
• Build and optimize data lakehouse and warehouse solutions in Azure and Microsoft Fabric, ensuring scalability, reliability, security, and cost effectiveness
• Develop and maintain data models, ETL and ELT processes, and historical data versioning logic to support complex multi source datasets
• Configure and manage Azure Data Lake Storage Gen2 environments, including data organization, lifecycle management, and archival strategies
• Implement data validation, cleansing, reconciliation, and quality controls to ensure trusted and auditable data platforms
• Collaborate with BI and analytics teams to prepare data for downstream reporting, analytics, and AI consumption
• Apply security best practices including encryption, identity based access control, and compliance with HIPAA, PII handling, and NIST 800 53
• Support data governance practices including lineage, access patterns, and operational readiness
• Implement monitoring and operational reporting for pipelines and data platforms to support production support models
• Work with structured, semi structured, and unstructured data sources across cloud and on premises environments
• Participate in technical workshops, discovery sessions, and requirements gathering with clients and internal teams
• Translate business requirements into actionable technical solutions focused on client outcomes
• Produce high quality technical documentation including design artifacts, migration plans, and operational runbooks
• Contribute to reusable frameworks, templates, and engineering best practices within the Data and AI practice
• Participate in code reviews, testing, and quality assurance processes
• Follow modern engineering practices including source control, CI CD, and environment promotion strategies
• Support post implementation activities including troubleshooting, optimization, and client enablement
• Demonstrate ownership and accountability for assigned deliverables and proactively address delivery risks

Skills

Data governance

Data security

Communication

Problem solving

Documentation

Organization

Education

Microsoft Azure Data Engineer Associate

Microsoft Fabric Analytics Engineer Associate

Azure Solutions Architect Expert

Tools

Azure Data Factory

Azure Synapse Analytics

Databricks

SQL Server

Azure SQL

Azure Data Lake Storage Gen2

Microsoft Fabric

CI/CD

Power BI

Job description

SHI International Corp. is seeking a solutions engineer in the Data Engineering space to design, build, and deploy enterprise-scale data platforms on Microsoft Azure and Fabric.

You will collaborate with project managers, engineers, and client stakeholders to deliver secure, scalable data pipelines that support analytics, reporting, and AI workloads. The role emphasizes hands-on execution, architecture design, and continuous delivery in a remote-first setup with state-level public sector and