Foundations Project Engineer Location: Carlisle, AR, US Lubbock, TX, US Dallas, TX, US Mobile, AL, US Midland, TX, US Taylor, TX, US Little Rock, AR, US HotSprings NatlPark, AR, US Huntsville, AL, US Forrest City, AR, US
Requisition ID: 179804 Job Level: Mid Level Home District/Group: Kiewit Foundations Co Department: Project Engineering Market: Industrial Employment Type: Full Time Location: Live where you want, go where the work is! 10% Field Premium while on
Requisition ID: 181698 Job Level: Entry Level Home District/Group: Kiewit Foundations Co Department: Field Operations Market: Transportation Employment Type: Full Time Position Overview Our mission is to make a difference and we offer opportunities for you
Kiewit Foundations Co is seeking entry-level Field/Office Engineers to support underground and foundation projects across North America. You will assist in interpreting drawings, performing takeoffs, and coordinating field and office activities. Ideal candidates pursue Civil, Mining, Mechanical, Geotechnical
Job Title: Senior Mechanical Project Manager Company: Loenbro, LLC Business Unit/Department: South - Mechanical/Structural Location: Afton, TX Reports to: Area Manager Employment Type: Full-Time FLSA Classification: Exempt About Loenbro Loenbro is a trusted, long-term construction lifecycle
Job Title: Assistant Project Manager Company: Loenbro, LLC Business Unit/Department: South - Mechanical/Structural Location: Afton, TX Reports to: Area Manager Employment Type: Full-Time FLSA Classification: Non-exempt About Loenbro Loenbro is a trusted, long-term construction lifecycle partner
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with