Geotechnical and environmental engineering for infrastructure and development projects
Shannon & Wilson is a 70-year-old geotechnical and environmental consulting firm serving federal, state, and municipal clients alongside private developers. The tech stack reveals a firm straddling legacy and modern: desktop GIS/CAD tools (ArcGIS, AutoCAD, Bentley, PLAXIS) dominate fieldwork and design, while Azure cloud infrastructure (SQL Database, Synapse, Data Factory) and Python suggest a recent effort to modernize data pipelines—addressing their stated challenge of moving off legacy platforms. The hiring mix is engineering-dominant with accelerating velocity, reflecting a strong backlog and expansion into rock mechanics services.
Shannon & Wilson provides integrated geotechnical engineering, environmental consulting, engineering geology, and natural resource services to public agencies and private clients. The firm operates across five core markets—transportation, water, property development, industrial, and federal—and specializes in technically complex, high-stakes infrastructure: tunneling (conventional and large-diameter pipelines), foundations, slope stabilization, and seismic hazard assessment. The service portfolio spans design, construction management, and remediation, with notable expertise in Arctic engineering and design-build delivery. Based in Seattle with 201–500 employees, the firm is employee-owned and works on projects ranging from major capital improvements to smaller-budget assignments.
Primary tools include ArcGIS and AutoCAD for design work, alongside specialized geotechnical software (PLAXIS, FLAC) and Bentley suite. Python, GIS, and lidar processing support analysis workflows.
Modernizing legacy data infrastructure via Azure cloud platform (SQL Database, Synapse, Data Factory) and Apache Spark. Power BI for analytics. Stated priorities include reliable data pipelines and moving away from legacy systems.
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Shannon & Wilson's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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