5 manager data engineering jobs at 5 companies in Newport, VT
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Data Engineering Manager
Austin or Boston or Chattanooga or Chicago or Dallas or Denver or Houston or Jefferson City or Kansas City or Madison or Milwaukee or Minneapolis or Nashville or Omaha or Providence or Springfield or Saint Louis or Washington or Multiple Locations or Virtual Office or Jersey City or New York or Vermont
$85k-$264k/yrHybridFull Time
Husch Blackwell: A nationwide firm providing industry-focused legal and litigation services.
3+ YOEBachelor's in CS or related (or equivalent),3+ years leading data engineering teams,advanced SQL,cloud data platform experience (Azure/AWS),Python knowledge,budget experience,and data governance expertise.
MichelinEuronext Paris: ML: Manufactures tires and provides digital mobility services and guides.
7+ YOEBachelor's in mechanical engineering, Ordre des ingénieurs du Québec membership, 7+ years engineering experience, bilingual (French/English), expertise in FEA, statistical analysis, data acquisition, project management; CREO experience a plus.
Pioneer Transformers: Design and manufacture of high-quality liquid-filled electrical distribution transformers.
3+ YOEBachelor's degree in engineering; minimum 3 years in manufacturing/quality/process engineering; Lean Six Sigma; project management; MS Office, data tools, AutoCAD; strong collaboration and communication.
Focus Multi Locations Inc.: Manages multi-location residential and commercial real estate properties.
7+ YOEBachelors in mechanical engineering, membership in Ordre des ingénieurs du Québec, 7+ years engineering experience, bilingual French/English, FEA and data-acquisition experience, strong statistical analysis and project management; CREO is an asset.
Nortera: Processes and markets canned and frozen vegetables.
7+ YOE7+ years in process improvement, preferably in food production; strong Lean/Six Sigma knowledge; ability to lead projects and coach teams; engineering background with proficiency in data analysis and ETL tools.
ETL, Data Analysis, Lean Six Sigma, Kaizen, Artificial Intelligence