744 Network Systems Engineer jobs in Snoqualmie, WA

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      Inspector Tooling and Machined Parts - 54808

      Boeing

      Auburn, WA 98071

      $31.32/hr
      ~ 31 min OnsiteUrgently HiringHealth InsuranceRetirement Benefit

      • Experience as a Quality Inspector
      • Language Requirements: English Preferred
      • Current Boeing employees working in Puget Sound must submit an Employee Request Transfer (ERT) to be considered in the eligible candidate pool. Resumes of current Puget Sound Boeing employees submitted via Careers at Boeing will not be considered
      • 3+ years of experience reading and interpreting engineering drawings and specifications (e.g., blueprint/schematic reading, specification, change, design)
      • Shift Work Statement: This position is for a variety of shifts
      • Relocation: Relocation assistance is not a negotiable benefit for this position.
      • Ability to walk constantly throughout the workday; stand 6-8 hours per day; climb or work from stairs/steps up to 8 hours per day; climb ladders; bend and twist frequently up to six hours per day; squat and kneel
      • Experience working with Microsoft Office (Excel, Word, PowerPoint)
      • Ability to complete Fall Protection Training
      • 3+ years of experience in setting and using precision measuring tools and equipment such as micrometers, calipers, and/or dial indicators
      • This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee
      • 1+ years of experience calibrating and/or using coordinate measurement machines, laser trackers, and/or optical measurement devices
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      New, Posted 4 hours ago
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      Senior Systems Engineer, UDS Data Management - West

      Dell

      Bellevue, WA 98005

      ~ 26 min Onsite

      • Enterprise BI modernization/self-service analytics
      • Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:
      • Advanced analytics / data science enablement
      • Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).
      • Cloud data warehouse or lakehouse migrations
      • Real-time or streaming analytics
      • 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
      • GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications
      SmartExplore AI is experimental.

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