5 data reliability engineer jobs at 5 companies in Monroe, MI
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Equipment and Data Reliability Professional-Management Professional
Detroit, Michigan, United States
$76k-$137k/yrOnsiteFull Time
Great Lakes Water Authority: Provides regional water and wastewater utility services.
3+ YOEBachelor's + 3 yrs or Associate + 5 yrs in related operational area; experience with reliability/maintenance engineering, CMMS data management, predictive maintenance and KPI reporting; valid driver's license required.
CMMS, Statistical Process Control (SPC), Weibull, Failure Reporting, Analysis and Corrective Action System (FRACAS), Six Sigma, Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA)
Our Next Energy: Manufacturer of electric vehicle batteries and energy storage systems.
Experience in warranty analytics, data analysis, root-cause investigation, CAPA, and reliability engineering; proficient with Excel/SQL/BI tools (Power BI, Tableau).
Reliability Management Engineer - Powertrain Cooling Power Units (Farmington Hills, MI, US, 48335)
Farmington Hills, Michigan, United States
OnsiteFull Time
MAHLE: Develops and manufactures systems and components for global mobility.
3+ YOEBS in Mechanical or Electrical Engineering; 3-5 years in automotive/manufacturing; reliability management knowledge; Weibull statistics; data acquisition and testing; strong communication.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
Bachelor's in engineering required. Experience with vehicle systems/mechatronic hardware or embedded control systems, warranty/DTC/field data analysis, QRD tools (SI, TrackerGart, QDAP, DAS, GWM, MERS), and leading cross‑functional issue resolution.
Director, Vehicle Cloud & Mobility - Telemetry & Data Platform
Dearborn or Palo Alto
HybridFull Time
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
15+ YOESenior technical leader with 15+ years experience building and operating cloud-based data platforms; expertise in platform reliability, cloud architecture, APIs, security, and cross-functional leadership.
Java, Spring Boot, Docker, GCP, Google Cloud Platform, Azure, AWS, Jira