Company Description At AECOM, we're delivering a better world. We believe infrastructure creates opportunity for everyone. Whether it's improving your commute, keeping the lights on, providing access to clean water or transforming skylines, our work helps people and communities thrive. Our clients trust us to bring together the best people, ideas, technical expertise and digital solutions to our work in transportation, buildings, water, the environment and new energy. We're one global team -
Request Title: IT Cost Management Analyst Pay Rate: $64.00-$76.00 on C2C, $57.14-$67.86 on W2 (W2: NJ, NY, CT, MI and CA) Desired Start Date: 4/22/2024 Duration: 6 Months, Hrs/Wk:40.00 End Client: Gates Work Location: Denver, CO (Onsite, Local Candidate Preferred) Description: **Local candidates that can work onsite (Denver, CO 80202) are preferred. May consider remote candidates if they are exceptionally good fit, but the rate must reflect remote cost. There is a possibility of Contract to Hire
We are looking for a Staff Engineer to help us take Cloud Cost Management, one of Datadog's newest products, to the next level. Datadog provides you granular visibility into costs across all of your cloud resources from the same observability platform your engineering teams already use. Datadog automatically surfaces changes in your cloud costs and visualizes cost data alongside the rest of your metrics, traces, logs, and other telemetry, making it easy to find and fix cost inefficiencies. We
Description Work Arrangement T his role is categorized as hybrid. This means the successful candidate is expected to report to GM Global Technical Center - Cole Engineering Tower, Warren, MI, three times per week, at minimum. The Role The Cost Knowledge Management and Data Analytics Specialist position at General Motors is responsible of the development and maintenance of current and new cost and data analysis tools/systems for the Program Product Cost Optimization group. This role involves driv
RDQ421R46 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for i
