1462 Db2 Systems Programmer jobs in Kenmore, WA

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      System Software Engineer–Common Core Systems (Mid-Level or Lead)

      Boeing

      Everett, WA 98207

      ~ 23 min OnsiteHealth InsuranceRetirement Benefit

      • Relocation: This position offers relocation based on candidate eligibility.
      • 5+ years of experience in working with software development life cycle process.
      • 3+ years of experience in RTCA DO-178(B/C) Software Considerations in Airborne Systems and Equipment Certification.
      • Visa Sponsorship: Employer will not sponsor applicants for employment visa status.
      • Shift: This position is for 1st shift
      • 3+ years of experience in leading embedded software development, verification, or compliance finding activities.
      • Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
      SmartExplore AI is experimental.
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      Diesel Mechanic

      TWH Enterprises

      Duvall, WA 98019

      Urgently Hiring
      Power System Study Engineer

      Accreditation Council for Graduate Medical Education

      Seattle, WA 98115

      Hybrid~ 20 minFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

      • Minimum 2 + years of direct working experience to include transmission planning, expansion, generation and/or large load interconnection related analyses, NERC reliability standards such as TPL/MOD/CIP
      • Strong organizational, interpersonal (written & verbal) skills, problem solving and analytical skills
      • Minimum 2 + years of hands-on experience with power-system tool such as PSS/E
      • Bachelor's degree in Electrical Engineering with emphasis in electric power systems
      • In-depth understanding of fundamentals of electric power systems and renewable energy
      • We conduct pre-employment drug and background screening
      • Ability to work in a dynamic team environment
      • Excellent oral and written communications skills in English
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      Flatbed Class A CDL Regional Driver: Earn $1,052.67 – $2,000.69 per week. Off Most Weekends

      System Transport

      Seattle, WA 98115

      $2,000.69/wk
      ~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

      • Must have a valid Class A CDL
      • Background Check required
      • A safe driving record on the road is required.
      • The driver must be physically able to lift a 90-pound tarp onto a 5-foot high platform twice
      • Must be 21 years of age or older
      • No more than 6 jobs in the last 3 years
      • Clean Clearinghouse result required
      • Clean Drug Test required
      • 4+ months of driving experience required
      SmartExplore AI is experimental.
      New, Posted 23 hours ago
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      Senior Systems Engineer, UDS Data Management - West

      Dell

      Bellevue, WA 98005

      Paid Relocation to Bellevue, WA

      Remote

      • Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:
      • Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models
      • Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs)
      • Knowledge of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA)
      • Enterprise BI modernization/self-service analytics
      • Advanced analytics / data science enablement
      • Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures
      • 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
      • Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering)
      • Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences
      • Cloud data warehouse or lakehouse migrations
      • Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics)
      • GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications
      • 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)
      • Demonstrated ability to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features
      • Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level)
      • Can translate ambiguous business problems into clear data and analytics use cases
      • Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats
      • Demonstrated ability to structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win
      • Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics
      • Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar)
      • Real-time or streaming analytics
      • Analytics, BI, and data science
      • Familiarity with document processing pipelines, chunking strategies, and semantic search patterns
      • Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns
      • Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA)
      • Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features
      SmartExplore AI is experimental.

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