Data Platform Engineer — Azure, Fabric & Power BI

Shannon-; Seattle (WA); On-site; USD 110,000 - 145,000; Full time

Benefits offered by this job

Employee stock ownership

Medical, prescription, vision, dental,

401(k) with contributions

Paid vacation and holidays

Tuition Reimbursement

Paid parental leave

Volunteer day

Free parking

Job summary

Shannon & Wilson is seeking a Data Engineer to manage and evolve our Microsoft-based data platform (Fabric, Azure SQL, Power BI). You will ensure reliable data access for project delivery, reporting, and strategic insights across engineers, staff, and leadership.

The role emphasizes platform operations, data integration, governance, and continuous improvement, with a focus on security, cost optimization, and collaboration with analysts and IT staff.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent experience).
• 7 to 14 years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).
• Strong SQL development skills and experience with data modeling (star/snowflake schema) required.
• Hands-on experience with ETL/ELT pipelines and automation scheduling required.
• Familiarity with cloud-based data security and access control practices.
• Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.
• Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.
• Python or Spark experience for data transformation preferred.
• Knowledge of DevOps/Git-based version control for data pipelines preferred.
• Strong collaboration skills – able to work with project managers, analysts, and IT staff.
• Excellent troubleshooting and problem-solving skills.
• Continuous improvement mindset with willingness to learn and adopt new technologies.
• Clear communication skills (both technical and business-oriented).

Responsibilities

• Platform Operations & Maintenance: Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL databases, and Power BI workspaces.
• Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.
• Implement monitoring, alerting, and cost optimization strategies for the platform.
• Data Engineering & Integration: Build, maintain, and optimize ingestion pipelines from internal systems and external data sources.
• Design and maintain clean, curated data models to support reporting and analytics needs.
• Collaborate with business analysts to ensure data structures meet business requirements.
• Governance & Security: Apply data governance standards for naming conventions, schema design, and access control.
• Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.
• Continuous Improvement: Stay current with Microsoft’s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).
• Recommend new features, automation, or process improvements to enhance reliability and usability.
• Partner with stakeholders to identify and implement new use cases for analytics and reporting.

Skills

SQL development

Data modeling

ETL/ELT pipelines

Python or Spark

DevOps/Git version control

Collaboration

Troubleshooting

Security awareness

Education

Bachelor's degree in Computer Science / Data Engineering or related field

Tools

Azure SQL Database

Azure Data Factory

Azure Synapse

Microsoft Fabric

Power BI

Job description

Shannon & Wilson is seeking a Data Engineer to manage and evolve our Microsoft-based data platform (Fabric, Azure SQL, Power BI). You will ensure reliable data access for project delivery, reporting, and strategic insights across engineers, staff, and leadership.

The role emphasizes platform operations, data integration, governance, and continuous improvement, with a focus on security, cost optimization, and collaboration with analysts and IT staff.