Position Overview Power Your Future with Qualus as a Senior Maximo Application Engineer. The Application Engineer supports the design, implementation, integration, optimization, and ongoing maintenance of critical utility and enterprise applications. This role serves as a
Description The role of a Software Engineer Level 2 involves extensive technical expertise to join our dynamic development team. This role involves designing, developing, and maintaining software solutions in a hybrid development environment, encompassing on-premises, cloud,
Role Under limited direction, serves as a strategic data and analytics leader responsible for advancing enterprise data governance, data quality, reporting strategy, and business intelligence capabilities. Partners with business and technology leadership to drive data-informed decision-making, maximize
*Please upload a resume. This is a remote position, however permanent residency in California, Nevada, Arizona, or New Mexico is a condition of employment for this position. This means a job offer may be denied or
Berkshire Hathaway Homestate Companies, Workers Compensation Division, has an opening for a Software Engineer 2. This individual will need extensive technical expertise to join our dynamic development team. Responsibilities include designing, developing, and maintaining software solutions
Sazerac Company Overview Build your career at Sazerac! With almost 400 years of rich history, Sazerac Company has thrived as an independent, American family-owned company with operations in the United States and around the world. Since
Position: Business Systems Analyst Location: 3 days per week in Sacramento, CA; must be in office Wednesdays Contract: 6 month extendable contract MUST BE ABLE TO WORK W2. Top Skills: • Bachelor’s degree is a
Senior HRIS Analyst This is a remote position, however permanent residency in California, Nevada, Arizona, or New Mexico is a condition of employment for this position. This means a job offer may be denied or rescinded
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