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Structures jobs in ithaca USA

7 structures jobs found in ithaca: showing 1 - 7

Manager, Facilities Senior
Company: BorgWarner |

Location: Ithaca, NY, USA

| Salary: US$125600 - 172700 per year | Date posted: 04 Aug 2026
, buildings and structures, and the grounds. This position will manage a group of direct and indirect reports. Key
Ai Engineer (agentic Ai/python/gcp)
Company: Danta Technologies |

Location: Ithaca, NY, USA

| Salary: unspecified | Date posted: 29 Jul 2026
experience in Python (Read & Write), Data Structures, SQL. Key Skills - Agentic AI, Gen AI, AI/ML, Data Science, SQL, Python..., Pandas, Deep Learning, Machine Learning, LLM, Data Structures, Bert Transformers, NLP, PyTorch, PySpark. We are seeking
Capital Assets Analyst
Company: Cornell University |

Location: Ithaca, NY, USA

| Salary: US$77831 - 90453 per year | Date posted: 24 Jul 2026
, research issues, and recommend solutions. Comfort working with complex data structures and translating findings into clear
Pharmacy Customer Service Associate
Company: Walgreens |

Location: Ithaca, NY, USA

| Salary: unspecified | Date posted: 13 Jul 2026
). Constructs and maintains displays, including promotional, seasonal, super structures, and sale merchandise. Completes resets
Customer Service Associate
Company: Walgreens |

Location: Ithaca, NY, USA

| Salary: unspecified | Date posted: 11 Jul 2026
., alcoholic beverages and tobacco products). Constructs and maintains displays, including promotional, seasonal, super structures
Shift Lead
Company: Walgreens |

Location: Ithaca, NY, USA

| Salary: unspecified | Date posted: 11 Jul 2026
in evaluating and developing displays, including promotional, seasonal, super structures, and sale merchandise. Completes resets
Data Modeler (cemi)
Company: Cornell University |

Location: Ithaca, NY, USA

| Salary: US$114698 - 140186 per year | Date posted: 27 Jun 2026
warehouses, and data marts, translating complex business requirements into scalable, high-performance data structures.... This position will analyze source data structures and business processes from which they will build fact and dimension tables