Data Engineering Solutions Engineer - Azure & Fabric (Remote)

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

Benefits offered by this job

Diversity commitment

Growth opportunities

Health benefits

Tech-enabled offices

Job summary

SHI is seeking a Solutions Engineer, Data Engineering to design, build, and deliver enterprise-scale data platforms using Microsoft Azure, Synapse Analytics, and Fabric. The role emphasizes hands-on engineering, secure deployments, and scalable analytics in a primarily remote setting.

You will collaborate with engineers, PMs, and clients to ensure compliant, auditable data platforms that power analytics, reporting, and AI workloads while conforming to HIPAA, PII, and NIST 800-53 standards.

Responsibilities

• Design, develop, and implement data ingestion, transformation, and integration pipelines using Azure Data Factory and related services
• Build and optimize data lakehouse and warehouse solutions in Azure and Microsoft Fabric for scalability, security, and cost efficiency
• Develop and maintain data models, ETL/ELT processes, and historical data versioning for multi-source datasets
• Configure and manage Azure Data Lake Storage Gen2 environments with lifecycle and archival strategies
• Implement data validation, cleansing, and quality controls to ensure trusted data platforms
• Collaborate with BI/analytics teams to prepare data for reporting and AI consumption
• Apply security best practices including encryption, identity-based access control, and HIPAA/NIST 800-53 compliance
• Support data governance, lineage, access patterns, and operational readiness
• Implement monitoring and operational reporting for pipelines and data platforms
• Work with structured, semi-structured, and unstructured data across cloud and on-premises environments
• Participate in workshops, discovery sessions, and requirements gathering with clients and internal teams
• Translate business requirements into actionable technical solutions and create high-quality design docs and runbooks
• Contribute to reusable frameworks, templates, and engineering best practices
• Participate in code reviews, testing, and CI/CD processes
• Support post-implementation activities including troubleshooting and optimization
• Demonstrate ownership and accountability for deliverables and proactively address risks

Job description

SHI is seeking a Solutions Engineer, Data Engineering to design, build, and deliver enterprise-scale data platforms using Microsoft Azure, Synapse Analytics, and Fabric. The role emphasizes hands-on engineering, secure deployments, and scalable analytics in a primarily remote setting.

You will collaborate with engineers, PMs, and clients to ensure compliant, auditable data platforms that power analytics, reporting, and AI workloads while conforming to HIPAA, PII, and NIST 800-53 standards.