4 data reliability engineer jobs at 4 companies in Kansas
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Data Reliability Engineer
Kansas, United States
RemoteFull Time
Vytalize Health: Provider enablement platform for value-based healthcare delivery.
5+ YOE5+ years with production data platforms, strong Python and SQL, experience with data pipeline reliability/observability, SLI/SLO/SLA practice, ML-based anomaly detection, and healthcare data familiarity.
San Jose or North Dakota or Montana or Maine or Ohio or Nebraska or Louisiana or Texas or Nevada or Hawaii or Georgia or Mississippi or Connecticut or Colorado or Wyoming or Wisconsin or West Virginia or Maryland or California or Vermont or New York or New Jersey or Arkansas or South Dakota or Pennsylvania or Michigan or Indiana or Idaho or Arizona or New Mexico or New Hampshire or Kentucky or Alabama or South Carolina or Illinois or Missouri or Massachusetts or Iowa or Tennessee or North Carolina or Minnesota or Kansas or Alaska or Rhode Island or Delaware or Washington or Virginia or Utah or Oregon or Florida or Oklahoma
$158k-$201k/yrRemoteFull Time
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
8+ YOEExperience troubleshooting enterprise network and data-center incidents, deep Nexus/NX-OS and Linux/Kubernetes knowledge, customer-facing escalation experience, bachelor's+8 years or equivalent, strong communication skills.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
1+ YOE3+ MgmtBachelor's in supply chain/engineering/business +1 year maintenance/operations experience OR 3 years supervisory maintenance/operations experience. Experience with maintenance programs, CMMS, data analysis, and coaching/leading maintenance teams. Preferred Lean, Six Sigma, or TPQ.
Koch Inc.: Operates global manufacturing, refining, and industrial technology businesses.
2+ YOE2+ years in electrical engineering or reliability; knowledge of electrical theory, power distribution, motors, drives, and PLCs; ability to interpret circuit diagrams, use electrical modeling software, apply data analytics, and travel to sites as needed.