Boeing Pre-Employment Training (BPET) Students – Tube, Duct, and Reservoir Assembler - C0804 BoeingBoeing Pre-Employment Training (BPET) Students – Tube, Duct, and Reservoir Assembler - C0804Auburn, WashingtonThe Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The Boeing Company Boeing Commercial Airplanes is excited to offer students and recent graduates of certified Boeing Pre-Employment Training (BPET) programs the opportunity to join our Fabrication team as a Tube, Duct, and Reservoir Assembler in Auburn and Algona .
NewChief Review Judge (WMS3/DLS) State of WashingtonChief Review Judge (WMS3/DLS)Olympia, WA$106,932–$149,724 / yearWhich of the following best describes your professional experience with laws and issues related to administration of the Public Employees Benefit Board and School Employees Benefits Board programs (e.g., COBRA, ERISA, Internal Revenue Code, self-insurance health plans, outside third-party administration issues, coordination of benefits, long-term disability, health savings accounts, and flexible spending accounts)?. Knowledge of laws and issues related to administration of the Public Employees Benefit Board and School Employees Benefits Board programs (e.g., COBRA, ERISA, Internal Revenue Code, self-insurance health plans, outside third-party administration issues, coordination of benefits, long-term disability, health savings accounts, and flexible spending accounts).
NewSenior Specialist IT Data Architect (09IT) State of WashingtonSenior Specialist IT Data Architect (09IT)Olympia, WA$104,304–$136,872 / yearExperience must include: Five (5) years of progressively responsible experience applying data science principles through the design, development, implementation, or operationalization of data-driven solutions using statistical analysis, predictive modeling, machine learning, artificial intelligence, or other advanced analytical methods. Five (5) years of progressively responsible experience applying data science principles through the design, development, implementation, or operationalization of data-driven solutions using statistical analysis, predictive modeling, machine learning, artificial intelligence, or other advanced analytical methods.