Follow your calling, Find your career! Please apply by: August 21, 2026 *This role is on-site Monday-Friday, telework is not available. Salary Range: $20.71 to $31.07 per hour. This is a non-exempt (hourly) position. Please note:
Company Description Work with Us. Change the World. At AECOM, were delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and
Posting Summary Working TitleHousekeeping WorkerRole TitleHsekeep &/or Apparel Workr IRole Code79071-SWFLSANonexemptPay Band01Position Number27600039AgencySouthside Va Community CollegeDivisionSouthside Va Community College (Div)Work LocationCharlotte - 037Hiring Range$28,360 - $32,500, commensurate with experienceEmergency/Essential PersonnelYesEEO Category8-Service MaintenanceFull Time or Part TimeFull
Work Location:Charlotte, North Carolina, United States of America Hours:40 Pay Details:$115,440 - $186,160 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are
Essential Duties and Responsibilities: - Responsible for directing all quality operations including planning, implementation monitoring and reporting functions. - Develop and oversee an effective management system to continuously identify opportunities for improvement while maintaining adherence to
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
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