Senior Data Platform Engineer - Microsoft Fabric/Azure

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

Benefits offered by this job

Employee stock ownership

Medical, prescription, vision, dental,

Pre-tax health and daycare FSA

Profit sharing and 401(k) plans with

Paid time off

Volunteer day

Mentorship Program

Tuition Reimbursement

Free parking

Job summary

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

Responsibilities include platform operations, ingestion pipelines, data modeling, governance, and continuous improvement, collaborating with analysts and IT to meet business needs.

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 data modeling (star/snowflake) 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 for data transformation preferred.
• 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 and willingness to learn new technologies.
• Clear communication skills (technical and business-oriented).

Responsibilities

• Platform Operations & Maintenance: Administer Microsoft Fabric/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 and optimize ingestion pipelines from internal and external sources.
• Design 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 and compliance with client/regulatory requirements.
• Continuous Improvement: Stay current with Microsoft Fabric, Power BI, and related tools; identify automation opportunities.
• Partner with stakeholders to identify new use cases for analytics and reporting.

Skills

Strong SQL development

Data modeling (star/snowflake)

ETL/ELT pipelines

Python or Spark

DevOps / Git version control

Collaboration with stakeholders

Troubleshooting

Communication skills

Continuous learning

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

Azure SQL Database

Azure Data Factory

Azure Synapse

Power BI

Microsoft Fabric

Fabric Lakehouse

Job description

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

Responsibilities include platform operations, ingestion pipelines, data modeling, governance, and continuous improvement, collaborating with analysts and IT to meet business needs.