1347 Informatica Developer jobs in Keyport, WA

      ZipRecruiter
      Earthwork & Utility Foreman

      K Con, LLC

      Woodinville, WA 98072

      $40-$50/hr
      Urgently HiringHealth InsurancePaid Time OffRetirement Benefit
      Recommended
      Software Developers/DevOps Engineer

      Digitechlabs

      Redmond, WA 98052

      $212,202/yr
      ~ 1 hr 39 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

      • Bachelor's (or equivalent)
      • 5 yrs exp
      • Salary: $212,202/yr
      SmartExplore AI is experimental.
      Recommended
      Thermal Protection System Materials Informatics Engineer

      Blue Origin LLC

      Seattle, WA 98115

      ~ 1 hr 27 min Onsite

      • Proficiency in Python for scientific computing and data analysis (e.g., numpy, pandas, matplotlib or similar)
      • Ability to read and interpret technical materials literature (e.g., property data, degradation mechanisms, processing–microstructure relationships)
      • Familiarity with structure–processing–property relationships in materials
      • Hands‑on experience with at least one machine learning or data‑analysis library (e.g., scikit‑learn, PyTorch, TensorFlow, or similar) from coursework, projects, or research
      • Strong written and verbal communication skills; ability to explain technical topics to audiences
      • You need to have in‑depth knowledge or expertise in at least ONE of the following areas: + Application of machine learning or advanced data analysis to materials, chemistry, or other physical science problems. + High‑temperature materials or TPS materials and their performance/degradation mechanisms. + Handling and interpreting complex experimental or simulation datasets (e.g., multi‑parameter test matrices, time‑dependent response data, or multi‑fidelity data from experiments and modeling)
      • Exposure to high‑temperature materials, thermal protection systems, ceramics, composites, or related domains through coursework, projects, research, or internships
      • Working understanding of basic ML concepts: regression, training/validation splits, overfitting/underfitting, and model evaluation metrics
      • Bachelor's degree in Materials Science and Engineering or other relevant fields (e.g., Ceramic Engineering, Metallurgical Engineering, Mechanical Engineering, Chemical Engineering, Applied Physics)
      • OR Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or related field with demonstrated exposure to materials or physical sciences
      SmartExplore AI is experimental.

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