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senior staff data center engineer mechanical engineering

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<br>
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)</li><li>
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Kirkland, WA, USA; New York, NY, USA; Sunnyvale, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Mechanical or Industrial Engineering, related discipline, or equivalent practical experience.<br>
</li>
<li>12 years of experience in data center power management.<br>
</li>
<li>12 years of experience in data center rack design.</li>
<li>12 years of experience with liquid cooling.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in Engineering, Business, or a related field.</li>
<li>Professional engineering license.</li>
<li>Experience in designing modular building scale assemblies, with an understanding of mechanical tolerances and tolerance analysis.</li>
<li>Experience in estimating, mechanical design, operation, and commissioning of mission critical data center mechanical equipment.<br>
</li>
<li>Knowledge of mechanical engineering and design principles with expertise in design for medium-scale production, structural beams/elements, and international building codes.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department - cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements - even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.<br>
<br>
With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).</p>
<p>
The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
</p><p>We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.</p><p>
The US base salary range for this full-time position is $214,000-$302,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Define data center system-level, product architecture, and research and development, helping to develop operations and maintenance procedures for systems/processes.<br>
</li>
<li>Conduct engineering analysis and research designs and methods of data center equipment and facilities.<br>
</li>
<li>Ensure designs and installations meet requirements (e.g., predicted cooling, structural, operational concerns, etc.).<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Data Center Engineer, Mechanical Engineering

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
As a Data Center Project Engineer, you will be a part of a creative, diverse team tasked with solving fascinating problems constructing Amazon Data Centers. Our data centers are industry examples of energy efficient, cost-effective designs. You will work alongside partner teams such as Operations, Networking, Controls, Security, and Commissioning to build Data Centers that directly support our Customers.
<br>
<br>
As our Data Center Project Engineer, you will support the teams that build some of the most interesting electrical and mechanical systems in the world. You will be on the construction site, daily interacting with the construction managers and stakeholders and be directly responsible for supporting the fast, high-quality delivery of our data center construction. The Data Center Project Engineer will be part of the onsite Construction Management team and will own the communication coordination with our vendors, information workflow, and coordination of document management including requests for information (RFI), change orders, report, and schedule updates.<br>
<br>
At Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything from the design review to construction bidding to construction execution and final hand-off to our customers. We are a diverse, upbeat, creative, team of engineers and managers working on a daily basis to develop innovative data centers for our Customers.<br>
<br>
Key job responsibilities<br>
The Data Center Project Engineer will be responsible for:<br>
<ul><li>Establishing communication and coordination across a data center region&rsquo;s general contractors, stakeholders, and internal teams. Example includes sending out region wide changes to construction trailer setup, COVID-19 testing procedures, or location to access documents.</li><li>Develop and maintain a tracking system for design changes, RFI&rsquo;s (requests for information), and change orders and dashboard and track this information for regional leadership review. Include tracking status of priority and due dates.</li><li>Requesting and reviewing MOPs (Method of Procedure) for proper detail, necessity, and risk.
</li><li>On-boarding new vendors for badging and orientation.</li><li>Updating project management software with milestone dates, correspondence, and documents.</li><li>Monitor delivery of owner furnished material to site.</li><li>Compiling and storing construction data from vendors.</li><li>Managing checklist including various checklists including substantial completion checks, safety, and quality.</li></ul><br>
<br>
<br>
About the team<br>
**Why AWS**<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
*Diverse Experiences*<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
*Work/Life Balance*<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
*Inclusive Team Culture*<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
*Mentorship and Career Growth*<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of vendor management experience</li><li>4+ years of relevant work in a data center or other critical environment experience</li><li>5+ years of data center engineering or operations experience</li><li>5+ years of Microsoft Office including Outlook, Word, and Excel experience</li><li>Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field</li><li>Bachelor's degree in Mechanical or Electrical Engineering, or 1+ years of relevant discipline work experience</li><li>Experience in vendor management</li><li>Experience in a data center or other critical environment</li><li>Experience in data center engineering or operations</li><li>Experience with Microsoft Office including Outlook, Word, and Excel</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of construction or project management experience</li><li>Electrical or mechanical Journeyman License</li><li>operating engineering license such as DC II, DC III, or equivalent</li><li>Experience in construction or project management</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MO, New Florence - 96,000.00 - 166,300.00 USD annually</div><p></p>

Project Engineer, Data Center Construction

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data centers have multiple components such as generators, uninterruptible power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers [air-cooled and water-cooled], pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center.
<br>
<br>
75% Expected Travel until expected region launch Q4 2027. After region launch in STL Expected Travel at 50%.<br>
<br>
Key job responsibilities<br>
<ul><li>Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems.</li></ul>
&bull; Provide technical assistance and support to operations during life cycle of the data center. &bull; Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved.<br>
<ul><li>Develop BMS &amp; EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders.</li><li>Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers.</li><li>Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders.</li></ul>
&bull; Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. &bull; Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholder&rsquo;s management.<br>
<ul><li>Support Controls projects related commissioning activities in the data centers.</li><li>Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team.</li><li>Develop and modify controls logic programming and graphical user interfaces.</li><li>Manage multiple stakeholder deliverables, requirements and navigate challenging situations.</li><li>Financially manage BMS and EPMS service contracts.</li><li>Frequently visit (locally) assigned in-operation data centers to troubleshoot, meet customers, supervise vendor&rsquo;s work to ensure compliance with the scope, design, SOO and applicable local codes.
</li></ul><br>
About the team<br>
About the team<br>
*Why AWS*<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
*Diverse Experiences*<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
*Work/Life Balance*<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
*Inclusive Team Culture*<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
*Mentorship and Career Growth*<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field</li><li>Equivalent engineering science plus 5+ years of relevant controls experience, OR 10+ years of relevant controls experience in lieu of a degree.</li><li>5+ years of experience with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil &amp; gas, petrochemical, laboratory, power, water etc.).</li><li>4+ years of general project or vendor management experience (request for proposals, bidding, change orders, quality control, and RFI and submittal tracking) associated with construction and project execution.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>MS in Engineering (Mechanical, Electrical, Chemical, Controls/Automation)</li><li>Experience designing, configuring, programming, installing, troubleshooting or servicing HVAC Controls or Electrical SCADA systems application specific controllers, software and networks. &bull; Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS).</li><li>Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. &bull; Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations.</li><li>Experience designing data centers or critical MEP infrastructure &bull; Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). &bull; Prior AWS/Amazon experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MO, New Florence - 111,300.00 - 186,100.00 USD annually</div><p></p>

Controls Engineer, Deployment, Amazon Data Services, Inc, Controls Deployment Service

NavitasPartners

<div><h1 class="jobSectionHeader"><b>Senior Python Backend&ndash;Heavy Full Stack AI Engineer (LangGraph)</b></h1>
<p><b>
Location -</b> New York City</p>
<h2 class="jobSectionHeader"><b>
Role Overview</b></h2>
<p>
We are seeking a <b>Senior Python Backend&ndash;Heavy Full Stack AI Engineer</b> with hands-on experience in <b>LangGraph and agentic AI systems</b>.</p>
<p>
This role focuses on building production-grade AI agents and workflows on top of enterprise datasets and internal applications. The ideal candidate is execution-focused and capable of delivering immediate impact.</p>
<p></p>
<h2 class="jobSectionHeader"><b>Core Responsibilities</b></h2>
<ul>
<li><p>Build and deploy AI agents using <b>LangGraph</b></p>
</li>
<li><p>Develop backend-heavy AI systems using <b>Python + FastAPI</b></p>
</li>
<li><p>Implement:</p>
<ul>
<li><p>RAG pipelines</p>
</li>
<li><p>Text-to-SQL systems</p>
</li>
<li><p>Prompt-engineered agent workflows</p>
</li>
<li><p>Business data summarization tools</p>
</li>
</ul></li><li><p>Integrate AI capabilities into enterprise applications</p>
</li>
<li><p>Work with structured datasets (PostgreSQL)</p>
</li>
<li><p>Collaborate with business stakeholders</p>
</li>
<li><p>Contribute to frontend updates when required (TypeScript)</p>
</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Required Technical Skills</b></h2>
<h3 class="jobSectionHeader"><b>Backend (Primary Focus)</b></h3>
<ul>
<li><p>Strong Python proficiency</p>
</li>
<li><p>FastAPI experience</p>
</li>
<li><p>Strong SQL skills</p>
</li>
<li><p>PostgreSQL experience</p>
</li>
<li><p>API design &amp; production architecture experience</p>
</li>
</ul><h3 class="jobSectionHeader"><b>AI / Agentic Frameworks (Critical)</b></h3>
<ul>
<li><p>Hands-on <b>LangGraph</b> experience</p>
</li>
<li><p>Strong understanding of:</p>
<ul>
<li><p>Agent orchestration</p>
</li>
<li><p>Prompt engineering</p>
</li>
<li><p>RAG architectures</p>
</li>
<li><p>Text-to-SQL pipelines</p>
</li>
</ul></li><li><p>Experience building production-ready AI agents</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Frontend (Secondary)</b></h3>
<ul>
<li><p>Working knowledge of TypeScript</p>
</li>
<li><p>Ability to support UI changes when required</p></li></ul></div>

Senior Python Backend–Heavy Full Stack AI Engineer - 26-02001

The Walt Disney Company

<div><div><b>Job ID</b> 10143246 <b>Location</b> New York, New York, United States <b>Business</b> The Walt Disney Company (Corporate) <b>Date posted</b> Mar. 03, 2026
<div><h4 class="jobSectionHeader"><b>Job Summary:</b></h4>
<div><p>At Disney, we&rsquo;re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt&rsquo;s passion was to continuously envision new ways to move audiences around the world&mdash;a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences &mdash; and we&rsquo;re constantly looking for new ways to enhance these exciting experiences.</p><p></p><p>
The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.</p><p></p><p><b>
Team Description:</b></p><p>
The Data Center Operations (DCO) organization provides physically secure, environmentally stable, high availability data center services. In conjunction with the rest of the Enterprise Technology organization, DCO delivers managed facility, server, storage, authentication, and DNS services to Enterprise Technology clients. The DCO team plays a dual role, managing the data center physical environment, its assets and providing break/fix support as directed by the Platform and or Network Operations team.</p><p></p><p><b>
What You&rsquo;ll Do:</b></p><p>
The <b>Data Center Site</b> <b>Manager</b> is responsible for managing and performing the Data Center Operations services at the New York and New Jersey data center locations (currently 3 locations). This includes both collocation and owned data center facilities. This role will both manage and directly perform infrastructure and IT Equipment installations, moves, changes, decommission, repair and incident response for our clients.</p><p></p><p>
Primary purpose of this role is to oversee the delivery of physically secure, high availability data center services through the use of modern platforms and facilitate open access to information for our New York and New Jersey data center locations. This role will both manage and directly perform infrastructure and IT Equipment installations, moves, changes, decommission, repair and incident response for our clients.</p><p></p><p>
The Data Center Site Manager will be the primary contact and is accountable for all data center services provided by Data Center Operations for the New York and New Jersey locations. This role will either manage, directly perform or act as the liaison to the appropriate teams to deliver all Data Center Operations Services; vendor management, mechanical, electrical, plumping (MEP) and fire-life-safety (FLS), physical security, Infrastructure Moves, Adds and Changes (IMAC), logistics (shipping, receiving &amp; storage), eWaste, media destruction and data center design consultation. The Data Center Site Manager will work with the rest of the Data Center Operations staff, clients, peer teams and work on independent projects as assigned. The successful candidate will:</p><ul><li>
Provide support to the Enterprise Technology Customer Base and to Enterprise Technology team members.</li><li>
Manage and directly perform vendor &amp; contract management (Colocation provider services &amp; service providers).</li><li>
Manage and directly perform Financial Management &ndash; Annual Operating Plan (budget), requests for proposals, quotes, purchase orders, invoicing, forecasts and accruals.</li><li>
Manage and directly perform monitoring, auditing &amp; reporting &ndash; capacity, activity, adherence to operating level agreements, etc.</li><li>
Manage and directly perform documentation management &ndash; creation, maintenance and retirement of Policies, Procedures, Processes, tool data, etc.</li><li>
Manage and directly perform Data Center Infrastructure Management (DCIM) updates and reporting.</li><li>
Manage and directly perform 24x7x365 IMAC Services (Infrastructure and IT Equipment installations, changes, decommissions, repairs and incident support)</li><li>
Manage and directly perform material management and ordering.</li><li>
Manage and perform maintenance activities.</li><li>
Manage and directly perform change activities.</li><li>
Manage and directly perform logistics (shipping, receiving and storage).</li><li>
Manage and directly perform eWaste and media destruction.</li><li>
Manage and directly perform on-call support and 1-hour on-site response for incidents or support issues.</li><li>
Manage and directly perform support for business continuity preparation, site &ldquo;ride out&rdquo; support for hurricanes and other threats, and damage assessments and recovery support.</li><li>
Manage and directly perform data center design consultation (provide clarification, guidance, current processes, procedures and standard in support of data center design, engineering and operations.</li><li>
Manage and directly perform training.</li><li>
Manage assigned workflow tasks in order to provide timely turnaround to clients, timely resolution and/or escalation of client issues.</li><li>
Interface with other team members in the Enterprise Technology organization to support deployments, technology evaluations, or other efforts requiring Data Center Operations involvement.</li><li>
Troubleshoot, document and process technical issues using the Enterprise Technology ticketing system.</li><li>
Maintain a level of professionalism while engaging with clients.</li><li>
Follow Enterprise Technology policies, processes and procedures.</li><li>
Follow Data Center Operations policies, processes and procedures.</li><li>
Work on tasks assigned by leadership.</li></ul><p></p><p><b>
Required Qualifications &amp; Skills:</b></p><ul><li>
Minimum 7 years data center support experience.</li><li>
Knowledge &amp; practical experience in data center infrastructure systems including cabling, infrastructure and IT equipment installation and environmental monitoring, power, cooling, fire suppression and physical security.</li><li>
Solid knowledge of data center infrastructure, physical security operations, Data Center Infrastructure Management tools, IT equipment installation, general application and system support.</li></ul><p><b>
Preferred Qualifications:
</b></p><ul><li>10 years data center support experience.</li><li>
Expert knowledge &amp; practical experience in data center infrastructure systems including cabling, infrastructure and IT equipment installation and environmental monitoring, power, cooling, fire suppression and physical security.</li><li>
Advanced knowledge of data center infrastructure, physical security operations, Data Center Infrastructure Management tools, IT equipment installation, application/system support and project management.</li><li>
Proficiency with ServiceNow, Patch Manager, Power IQ, MS Power Point and MS Excel</li><li>
Preferred to be certified or affiliated with:</li><li>
ITIL V4, ITIL Practitioner, or Master</li><li>
The Green Grid</li><li>
Uptime Institute</li><li>
7x24 Exchange</li><li>
ASHRAE</li></ul><p><b>
Required Education:
</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience</li></ul><p><b>
Preferred Education:
</b></p><ul><li>Master&rsquo;s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience</li></ul><p><b>
Additional Information:
</b></p><ul><li>Must be able to work weekends and holidays.<br>
Must be able to withstand walking, standing, stooping, bending and climbing on ladders for an extended period of time with reasonable accommodation.</li><li>
Must be able to lift a minimum of 75 lbs. with reasonable accommodation.</li><li>
Must be able to participate in On-Call rotation and fill in for others if needed.</li><li>
Ability to climb ladders and work aloft.</li><li>
Ability to work in cold temperature environments.</li><li>
Ability to maneuver pallet jacks and lift heavy objects.</li><li>
Ability to pull and install cabling.</li><li>
Strong communication skills; oral, written and listening.</li><li>
Process oriented individual with strong grasp of continuous improvement.</li><li>
Analytical and statistical processes and principals</li><li>
Attention to detail</li></ul><p></p><p>
#DISNEYTECH</p><br>
The hiring range for this position in New York is $135,400 to $181,600 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div></div></div></div>

Data Center Site Manager

James Search Group

<div>
 <p>
  <strong>
   AI/ML Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Global P&amp;C Insurance
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role and the company.
  </strong>
 </p>
 <p>
  James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
  <strong>
   AI/ML Engineer
  </strong>
  to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
  </li>
  <li>
   Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
  </li>
  <li>
   Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
  </li>
  <li>
   Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
  </li>
  <li>
   Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
  </li>
  <li>
   Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
  </li>
  <li>
   Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
  </li>
  <li>
   Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
  </li>
  <li>
   Familiarity with actuarial concepts or insurance-specific data models.
  </li>
  <li>
   Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
  </li>
  <li>
   Comfortable in a collaborative, fast-paced, and agile working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply today
  </strong>
  to help reshape the future of insurance through data and AI innovation.
 </p>
</div>


Machine Learning Engineer

Bloomberg

<div><div><div><div><div><div>Senior Data Management Professional - Company Financials, Analytics Engineer
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Data
</div></div><div><div>Ref #
</div><div>10049339
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div>Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock &ndash; from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology&mdash;quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.<br>
</div><div></div><br>
<div>Our Team
</div><div>The Company Financials (CoFi) Data team provides clients with fast, accurate, and trusted financial data that powers analysis across markets and industries. Our datasets support reporting, modeling, and insight generation for internal stakeholders and external clients.<br>
</div><div></div><br>
<div>We combine financial domain expertise, data modeling, analytics engineering, and technical rigor to create high-quality, performant analytical datasets that support a wide range of reporting and decision-making needs.<br>
</div><div></div><br>
<div>What's the role?
</div><div>As a Senior Data Management Professional within the Business Intelligence team, you will play a key role in shaping and evolving the analytical data foundations that power our reporting platform.<br>
</div><div></div><br>
<div>This is a hands-on, data-focused role centered on building, modeling, and optimizing analytical datasets. You will own and evolve Foundational Reporting Datasets (FRDs), ensuring they are accurate, performant, reusable, and aligned with domain realities. You will work closely with domain experts, Product, and Engineering partners to translate complex, real-world financial data into stable analytical schemas that support scalable reporting and reuse.<br>
</div><div></div><br>
<div>Your work will directly influence how data is trusted, modeled, and reused across teams, balancing immediate analytical needs with long-term scalability and governance.<br>
</div><div></div><br>
<div>We'll trust you to:
</div><ul><li>Build, maintain, and evolve Foundational Reporting Datasets (FRDs) that serve as the analytical backbone for reporting and analysis
</li></ul><ul><li>Write and optimize SQL queries to clean, shape, and model noisy, real-world data into performant, reusable datasets
</li></ul><ul><li>Make pragmatic tradeoffs around correctness, scope, performance, and documentation, reasoning about data semantics and grain
</li></ul><ul><li>Continuously improve data quality, clarity, and query efficiency
</li></ul><ul><li>Work closely with domain experts and stakeholders to understand how the data is produced, interpreted, and used
</li></ul><ul><li>Actively build domain intuition over time &mdash; learning why the data behaves the way it does, not just how it&rsquo;s structured
</li></ul><ul><li>Represent the data accurately and confidently in cross-functional discussions
</li></ul><ul><li>Identify analytical work that is worth formalizing into reusable data products
</li></ul><ul><li>Help define clear boundaries between foundational datasets and decision-specific, reusable data products
</li></ul><ul><li>Collaborate with a Product Manager who owns roadmap and prioritization, providing deep input into feasibility and tradeoffs
</li></ul><ul><li>Partner with engineers on performance, tooling, and modeling decisions, while remaining focused on the data layer itself<br>
</li></ul><div></div><br>
<div>You'll need to have:
</div><ul><li>4+ years of experience as a BI analyst, analytics engineer, or similar data-focused role</li></ul>
<ul><li>Deep hands-on experience with, SQL-based data modeling, PySpark and Pandas/Polars, analytical dataset design, performance and efficiency considerations as well as storage/layout optimization for analytical tables
</li></ul><ul><li>Experience designing for schema evolution and the ability to source validation and data profiling
</li></ul><ul><li>Proven ability to turn messy, ambiguous data into trusted analytical assets
</li></ul><ul><li>Comfort working under ambiguity and improving things incrementally
</li></ul><ul><li>Strong collaboration skills and interest in learning a data domain deeply
</li></ul><ul><li>Ability to translate semi-structured producer data into stable analytical schemas (OLTP to OLAP)<br>
</li></ul><div></div><br>
<div>We'd love to see:
</div><ul><li>Experience working with complex or regulated datasets
</li></ul><ul><li>Experience using Bloomberg Terminal and Company Financials products
</li></ul><ul><li>Exposure to data product or platform-style thinking
</li></ul><ul><li>Experience partnering closely with domain experts or SMEs
</li></ul><ul><li>Experience driving adoption of new systems
</li></ul><ul><li>Interest in data governance, ownership, and reuse patterns
</li></ul><ul><li>Familiarity with modern table formats and distributed query engines at scale (e.g., Iceberg/Delta; Trino/Spark or equivalents)
</li></ul><ul><li>Exposure to high-concurrency BI serving patterns (OBT)</li></ul>
</div></div><div></div><div><div><div>Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Data Management Professional - Company Financials, Analytics Engineer

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