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Exploration jobs in draper USA

8 exploration jobs found in draper: showing 1 - 8

Merchandise Retail Associate
Company: TJX Companies |

Location: Sandy, UT, USA

| Salary: US$13.5 - 14 per hour | Date posted: 24 Jun 2026
HomeGoods At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. Youll
Retail Merchandise Associate
Company: TJX Companies |

Location: Sandy, UT, USA

| Salary: US$13.5 - 14 per hour | Date posted: 10 Jun 2026
Marshalls At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. Youll
Merchandise Coordinator
Company: TJX Companies |

Location: Draper, UT, USA

| Salary: US$14.5 - 15 per hour | Date posted: 03 Jun 2026
TJ Maxx At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. Youll be part
Janitorial
Company: TJX Companies |

Location: Draper, UT, USA

| Salary: US$13.5 - 14 per hour | Date posted: 03 Jun 2026
TJ Maxx At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. Youll be part
Merchandise Assocaite
Company: TJX Companies |

Location: Draper, UT, USA

| Salary: US$13.5 - 14 per hour | Date posted: 02 Jun 2026
TJ Maxx At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. Youll be part
Lead Software Architect
Company: NICE Systems |

Location: Sandy, UT, USA

| Salary: unspecified | Date posted: 29 Apr 2026
generation, code refactoring, dependency analysis, and large-scale codebase exploration. Contribute to conversational
Merchandise Coordinator
Company: TJX Companies |

Location: Draper, UT, USA

| Salary: US$14 - 14.5 per hour | Date posted: 19 Apr 2026
TJ Maxx At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. Youll be part
Senior Software Architect (ai, Aws, React, C#)
Company: NICE Systems |

Location: Sandy, UT, USA

| Salary: unspecified | Date posted: 09 Apr 2026
-scale codebase exploration. Contribute to conversational AI platforms, messaging pipelines, data flows, and ML-adjacent