data analyst

data engineer

senior data engineer

ai engineer

associate data scientist

data engineer data center engineering data center engineering analytics

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As a Data Engineer, you will partner with Business Intelligence Engineers and partner teams to build data pipelines and solutions to harness the vast amount of operational data from the AWS fleet. You will own the timely delivery of such data for use in downstream business intelligence solutions, as well as all necessary actions to ensure the reliability of data provided for business decision making. Data analysis is at the core Amazon&rsquo;s culture, and your work will have a direct impact on decision making and strategy for our organization.<br>
<br>
The ideal candidates will have excellent analytical abilities, curiosity, and strong technical skills. They will have a strong bias toward data driven decision making, and building scalable data pipelines and systems to facilitate such decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you!<br>
<br>
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>
Key job responsibilities<br>
Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions.<br>
<br>
Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.<br>
<br>
Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems.<br>
<br>
Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies.<br>
<br>
Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures.<br>
<br>
Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</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, GA, Atlanta - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, Data Center Engineering, Data Center Engineering Analytics

NiCE

<div><div><p>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</p></div><div><div>
<h2 class="jobSectionHeader"><b>
Build the Systems That Power Analytics for Millions of Customer Conversations</b></h2>
<div>At NICE, we help organizations understand what customers are really saying. Our Nexidia Interactive Analytics (NIA) platform processes and analyzes massive volumes of customer interaction data, enabling organizations to identify trends, improve experiences, and make better business decisions.</div>
<div>We're looking for a <b>Senior Software Engineer</b> to join our <b>Mobius team</b>, a critical engineering group responsible for ingesting, transforming, and managing the data that powers NIA analytics. This is not a greenfield startup project. It is a highly scalable enterprise platform that sits at the center of a mature analytics ecosystem used by multiple product teams and customers worldwide.</div>
<div>If you're passionate about large-scale backend systems, SQL performance, data engineering, and using AI to build software smarter and faster, we'd love to talk.</div>
<h2 class="jobSectionHeader"><b>Why This Role Matters</b></h2>
<div>The Mobius team is growing because demand for new capabilities continues to increase. The team is responsible for bringing vast amounts of customer interaction data into the platform, ensuring it is available, accurate, performant, and consumable by multiple downstream analytics teams.</div>
<div>You'll join a highly visible team that is expanding to meet growing business expectations while helping shape how AI-assisted development accelerates software delivery across engineering.</div>
<h2 class="jobSectionHeader"><b>What You'll Do</b></h2>
<ul><li>Design and build scalable backend services using C#</li>
<li>Develop and optimize high-volume ETL and data ingestion pipelines</li>
<li>Design, tune, and maintain complex Microsoft SQL Server environments</li>
<li>Troubleshoot performance challenges across large-scale distributed systems</li>
<li>Investigate customer-facing production issues and drive resolution</li>
<li>Partner closely with multiple engineering teams that depend on Mobius-managed data</li>
<li>Use AI-assisted development tools to analyze requirements, accelerate coding, review implementations, and create automated testing strategies</li>
<li>Contribute to new feature development, platform enhancements, and architectural improvements</li>
</ul><h2 class="jobSectionHeader"><b>What Makes This Opportunity Different</b></h2>
<ul><li>Work on a platform that directly supports advanced speech and interaction analytics</li>
<li>High-impact team with strong visibility and growing investment</li>
<li>Significant ownership across both development and production engineering</li>
<li>Opportunity to influence how AI is practically applied to software engineering workflows</li>
<li>New feature development represents the majority of team activity, with substantial innovation and roadmap work underway [Recruiting...ment Roles | Word]</li>
</ul><h2 class="jobSectionHeader"><b>What We're Looking For</b></h2>
<h3 class="jobSectionHeader"><b>Required</b></h3>
<ul><li>7+ years of software development experience</li>
<li>Strong C# / .NET backend development experience</li>
<li>4+ years of Microsoft SQL Server experience in production environments</li>
<li>Experience with:
<ul><li>Query optimization</li>
<li>Performance tuning</li>
<li>Database partitioning</li>
<li>Extended Events</li>
<li>Resolving I/O and latch contention issues</li>
</ul></li><li>Experience building high-volume data processing systems</li>
<li>Experience with ETL and data movement solutions</li>
<li>Strong troubleshooting and analytical skills</li>
<li>Excellent communication and collaboration skills</li>
</ul><h3 class="jobSectionHeader"><b>Preferred</b></h3>
<ul><li>Experience using AI tools throughout the software development lifecycle</li>
<li>Microservices architecture experience</li>
<li>Distributed systems development</li>
<li>ElasticSearch experience</li>
<li>Enterprise CI/CD environments</li>
<li>Contact center, analytics, or data platform experience</li>
</ul><h2 class="jobSectionHeader"><b>Location &amp; Work Style</b></h2>
<ul><li>Hybrid role based in Atlanta</li>
<li>In-office collaboration Monday and Tuesday</li>
<li>Work alongside experienced engineers focused on solving large-scale data challenges</li>
</ul>
</div><p><b>Enjoy NiCE-FLEX!</b></p>
<p>
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. This role is located in our GA office at 6 Concourse Parkway, <b>Atlanta GA</b> 30328 https://www.nice.com/company/global-locations</p></div><div><p><b><i>
About NiCE
</i></b></p><p><i>NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
</i></p><p><i>Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
</i></p><p><i>NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</i></p></div></div><p></p>

Sr Software Engineer, Backend & Data Platforms (Mobius Team)

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Data Engineer<p></p><p><b>
Job Description Summary</b></p>
Key Objectives:<br>
<br>
Supports the development, optimization, and maintenance of Cushman &amp; Wakefield&rsquo;s commercial real estate (CRE) forecasting infrastructure across the Americas. This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems.<br>
<br>
Operate as a self-sufficient data practitioner, capable of independently delivering data solutions or working side-by-side with technology teams to ensure alignment and production readiness of QIG capabilities on an iterative basis.<br>
<br>
Works closely with senior economists, analytics leads, and technical teams to deliver high-quality, production-ready data solutions that underpin the firm&rsquo;s House View and related analytical products.<p><b>
Job Description</b></p><p><b>
Time Series Data Engineering, Maintenance &amp; Automation (40%)</b></p><ul><li>Prototype, build and maintain automated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in forecasting models.</li><li>Ensure data integrity and consistency across all QIG&rsquo;s inputs and outputs through rigorous validation and quality control procedures. Design and enforce structured data interfaces and integration patterns to ensure consistent ingestion and interoperability across internal and external data sources.</li><li>Work closely with cross-functional partners to define, refine, and validate data quality rules, using both automated checks and hands-on analysis to ensure outputs meet analytical expectations.</li><li>Performs exploratory data analysis and profiling on raw and processed datasets to validate pipeline outputs and identify anomalies or inconsistencies.</li><li>Partner with PRI (Property Research &amp; Intelligence), TDS (Technology Data Solutions), GIS (Geographic Information System) and forecasting team to ensure governance of time series data, as revisions to geography-based competitive sets can occur.</li><li>Collaborate with PRI, TDS/GIS and other QIG teams to integrate internal and external data sources into infrastructure deployed by QIG teams.</li><li>Ensure Global Think Tank, Americas Research and other stakeholders have access to relevant time series (and forecast) data via various tools and capabilities in coordination with QIG leads. Work iteratively with partners to refine data outputs, validate usability, and adjust underlying pipelines or transformations as needed to meet evolving analytical requirements.</li></ul><p></p><p><b>
Technical Support (40%)</b></p><ul><li>Create and maintain documentation of any synthetic data model architecture, data flows, and diagnostic procedures. Have strong grasp of field-level data lineage and traceability to support transparency, reproducibility, and downstream analytical confidence.</li><li>Partner with Head of Data Science &amp; Geospatial Analytics to build state-of-the-art, novel real estate dataset, with additional relevant data geospatially integrated (e.g., demographics, socioeconomic data, zoning or flood maps, climate or walk score information); produce detailed specifications that guide engineering implementation.</li><li>Develop internal documentation and process automation, and serve as expert on the integration, application and processing of internal data, 3rd party vendor data and other public data (e.g., Census TIGER, IPUMS) as appropriate with QIG leads.</li><li>Advise, integrate and execute normalization methods with internal and external partners, co-developing approaches with technology teams when necessary and validating outputs through hands-on implementation and analysis.</li><li>Identify new data use cases for proprietary data, ensure appropriate cleaning and normalization techniques so data can be used in statistical, econometric and other commercial analytics applications.</li></ul><p></p><p><b>
Infrastructure Enhancement &amp; Collaboration (20%)</b></p><ul><li>Contribute to evolution of the QIG data infrastructure by identifying opportunities for efficiency gains, automation, and scalability.</li><li>Support the integration of emerging technologies (e.g., ML/AI, advanced lakehouse patterns) into data workflows under guidance from senior team members through hands-on experimentation, prototyping, or coordination with TDS as needed.</li><li>Coordinate with TDS and PRI on internal data and technology initiatives; contributing hands-on development or feedback where appropriate to scale, optimize, and productionize solutions in support of QIG capabilities.</li><li>Serve as the key liaison for all external data dependencies; monitor the evolution of 3rd party data products and capabilities, assess their fit against QIG analytical requirements, and produce intake specifications when new sources are approved for integration. As needed, partner with technology teams to evaluate and integrate internally managed data sources.</li><li>When/where appropriate, maintain a living requirements register and change log that tracks open data engineering requests, their status in the TDS backlog, acceptance criteria, and QIG sign-off outcomes.</li></ul><p></p><p><b>
Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Engineering, Data Science, Computer Science, Statistics, or a related technical field. Advanced degree a plus.</li><li>5-7 years of experience in data engineering or a hybrid analytical/engineering role, preferably in a forecasting or analytics/production environment. Real estate experience a plus.</li><li>Strong proficiency in Python/R, SQL, Databricks, Delta Lake and data pipeline frameworks (e.g., medallion architecture).</li><li>Experience with time series data, econometric / data science modeling workflows, and automation tools.</li><li>Familiarity with cloud platforms (e.g., Azure, AWS) and version control systems.</li><li>Demonstrated ability to operate in a collaborative, cross-functional environment, contributing both independently and alongside engineering and analytical teams to deliver data solutions.</li><li>Comfort working in iterative development settings, balancing hands-on execution with stakeholder collaboration and continuous feedback.</li><li>Strong attention to detail and commitment to data quality.</li><li>Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when appropriate).</li><li>Excellent documentation and communication skills for technical audiences. Ability to participate meaningfully in engineering discussions.</li><li>Exposure to geospatial data concepts and CRE or macroeconomic datasets.</li><li>Experience working with agile/scrum delivery models in a data and analytics context.</li></ul><br>
<p></p>
Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.<br>
<p></p>
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate&rsquo;s experience and qualifications.<br>
<p></p>
The company will not pay less than minimum wage for this role.<br>
<p></p>
The compensation for the position is: $ 114,750.00 - $135,000.00<p></p>
Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.<p></p><p>
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at <b>1-888-365-5406</b> or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.</p><p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Data Engineer

Vertiv

<div><div><div><div>Electrical Reliability Services, a rapidly growing third-party, NETA-accredited, electrical testing company is currently seeking a Power Systems Engineer to support our service offerings nationally. This position works remotely requiring up to 25% travel. Perform/support a range of power system and engineering studies (all voltage levels, from basic to the most complex). Perform/support a variety of Field and Customer activities including data collection, one-line revisions, and electrical system analysis.
</div></div></div><div><div><div><p><b>Responsibilities:
</b></p></div><div><div><div><ul><li>Support all types of power systems Typically, will work with a Sr. Power Systems
</li><li>Engineer to support project scope.
</li><li>Perform short circuit analysis, protective device coordination, and arc flash studies.
</li><li>Assist other engineers with all types of power systems and engineering studies.
</li><li>Assist in the gathering of field data and documentation as needed.
</li><li>Support the full range of complex engineering studies including reliability, harmonics, load flow, and reliability-centered maintenance studies.
</li><li>Assist with the electrical power system documentation including system configuration, equipment ratings, and settings.
</li><li>May support circuit and system measurements and help write reports relating to EMF, electrical load, voltage, and power quality projects.
</li><li>Assist in the preparation of estimates and take-offs for engineering study project proposals.
</li><li>Gain a working knowledge of computer software and data utilized in the conduct of power systems and engineering studies and arrange training for others as needed.
</li>Follow and assist in the development of policy and procedures for conducting power system and engineering studies.<br>
<li>
</li></ul><p></p><p>Additional Information
</p><p>The company will only employ those who are legally authorized to work in the United States for this position. This is not a position for which sponsorship will be provided.<br>
</p><p></p><p><b>QUALIFICATIONS
</b></p><p>To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
</p><p><b>Education and/or Experience
</b></p><ul><li>Graduate Engineer BSEE.
</li><li>Must have taken and passed the FE exam or pass the FE exam within 12 months of hire date.
</li><li>Requires excellent verbal and writing skills to communicate effectively with clients, field engineers, peers, and management.
</li><li>Requires mature judgment, responsible for assigned projects.
</li><li>Requires a high degree of organizational skills.
</li><li>Requires sound grounding in electrical engineering.
</li><li>Willing to work flexible hours, weekends, holidays, and night work.
</li><li>Regularly required to stand, walk, use hands and fingers, talk, and hear.
</li><li>Frequently required to sit, and work at the computer. Specific vision abilities required by this job include close vision, distance vision, basic color differentiation, and the ability to adjust focus.
</li>Valid Driver&rsquo;s License.<br>
<li>
</li></ul><p></p><p><b>PHYSICAL REQUIREMENTS
</b></p><ul><li>Light Lifting (5 Ibs.-25 Ibs.) <b>Job Description
</b></li></ul><ul><li>Medium Lifting (30 Ibs. &ndash; 45 Ibs.)
</li></ul><ul><li>Heavy Lifting (over 50 Ibs.)
</li></ul><ul><li>Frequent Standing
</li></ul><ul><li>Frequent kneeling / crawling / stooping
</li></ul><ul><li>Frequent bending / twisting
</li></ul><ul><li>Frequent climbing (stairs, ladders)
</li></ul><ul><li>Frequent driving (car, van, truck)<br>
</li></ul><p></p><p><b>ENVIRONMENTAL DEMANDS
</b></p><ul><li>Extreme cold (below 32*)
</li></ul><ul><li>Extreme heat (above 100*)
</li></ul><ul><li>Noise Level (Medium / High need to shout to be heard)
</li></ul><ul><li>Working around moving machinery (fork-lifts, tractors)
</li></ul><ul><li>Protective Equipment Required (earplugs, gloves, eyewear, respirator, mask, etc.)
</li></ul><ul><li>Work outdoors (no effective protection from weather)<br>
</li></ul><p></p><p><b>TRAVEL TIME REQUIRED
</b></p><div><p><i>&bull; 25%
</i></p></div><p><b>Competencies
</b></p><p>To perform the job successfully, an individual should demonstrate the following competencies:<br>
</p><p></p><ul><li><b>Action Oriented </b>&ndash; Enjoys hard work; is action oriented and full of energy for the things that he/she sees as challenging; not fearful of acting with a minimum of planning; seizes opportunities when they arise.
</li><li><b>Building Effective Teams </b>&ndash; Creates strong morale and spirit in his/her team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; lets subordinates present to senior management; acts as if real success is the success of the team.
</li><li><b>Customer Focus </b><b>- </b>Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; talks and acts with customers in mind.
</li><li><b>Drive for Results </b>&ndash; Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom line oriented; steadfastly pushes self and others for results.
</li><li><b>Directing Others </b>&ndash; Is good at establishing clear directions; sets stretching objectives; distributes the workload appropriately; lays out work in a well-planned and organized manner; maintains two-way dialogue with subordinates on work and results.
</li><li><b>Organizing </b>&ndash; Can marshal resources (people, funding, material, support) to get things done; can orchestrate multiple activities at once to accomplish a goal; uses resources effectively and efficiently; arranges information and files in a useful manner.
</li></ul><p><b>THE VERTIV OPPORTUNITY
</b></p><p>The successful candidate will embrace Vertiv's Core Principles &amp; Behaviors to help execute our Strategic Priorities.
</p><p><b>Our Core Principles: </b>Safety | Integrity | Respect | Teamwork | Inclusion
</p><p><b>Our Strategic Priorities
</b></p><ul><li>High-Performance Culture
</li><li>Customer Focus
</li><li>Operational Excellence
</li><li>Innovation
</li><li>Financial Strength
</li></ul><p><b>Vertiv Behaviors
</b></p><ul><li>Own it
</li><li>Act with urgency
</li><li>Foster a customer-first mindset
</li><li>Think big and execute
</li><li>Lead by example
</li><li>Drive continuous improvement
</li><li>Learn and seek out development
</li><li>Promote transparent &amp; open communication
</li></ul><p><b>About Vertiv
</b></p><p>Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.
</p><p><b>Work Authorization
</b></p><p>No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
</p><p><b>Equal Opportunity Employer
</b></p><p>Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com .</p></div></div></div></div></div></div>

ERS - Power Study Electrical Engineer - Multiple Locations

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Location : Cary, NC (Onsite/Hybrid from Day 1)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><p>We are seeking an experienced <b>Data Scientist</b> to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 85786- 97273</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p></p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist

Google

<div><p>This role may also be located in our Playa Vista, CA campus.</p><p>
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</p><p>
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.</p><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>New York, NY, USA; Atlanta, GA, USA; Chicago, IL, USA; Los Angeles, CA, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience troubleshooting technical issues for internal/external partners or customers.</li>
<li>Experience in either system design or reading code (e.g., Java, C++, Python).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.<br>
</li>
<li>8 years of experience with data analysis and SQL/MySQL.<br>
</li>
<li>8 years of experience in a customer-facing role.<br>
</li>
<li>8 years of experience working with Unix or Linux operating systems/commands.</li>
<li>Experience working with Google Ads, Google Marketing Platform products (e.g., SA360, DV360, GA4), or Google Cloud services.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.</p><br>
<p>
As a Product Deployment Engineer, you will be a key advisor to Google&rsquo;s customers and serve as the definitive regional service authority for a specific product area. You are the strategic bridge between what a customer wants and what gTech Ads has to offer within a specific product area, whether via the standing menu of service or our gTech Ads engineering capabilities. You will have strong customer engagement skills, and the ability to translate customer needs into scalable product strategies. You will develop high quality technical-product specifications that address complex business issues.</p><div></div><p>
Google creates products and services that make the world a better place, and gTech&rsquo;s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers&rsquo; complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.<br>
<br>
To learn more about gTech, check out our video.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Partner with sales and engagement managers to understand customer marketing objectives, infrastructure, first-party data management strategy, and pain points.</li>
<li>Lead in-depth technical assessment/consultation sessions to uncover opportunities where bespoke solutions are required, ensuring solutions respect industry-specific data constraints and business cycles.</li>
<li>Translate complex customer requirements into clear technical specifications and solution designs, considering scalability, reusability, and best practices as well as a clear path to media activation.</li>
<li>Provide technical-product oversight during the implementation phase, ensuring the engineering build remains aligned with the original customer strategy, while delegating base code-level and system-building decisions to the Engineering team.</li>
<li>Collaborate closely with cross-functional gTech teams (e.g., Engineering teams, Solution Experts, Measurement Experts) to orchestrate bundled service delivery and ensure seamless customer outcomes.<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>

Product Deployment Engineer, gTech Ads

The Home Depot

<p>Position Purpose:<br/></p><p>The Technology Insights team gives Home Depot engineering leadership visibility into how the organization builds software &mdash; delivery velocity, code quality, deployment health, and AI-assisted development adoption &mdash; through a portfolio of internal platforms and integrations spanning a variety of internal tooling and SaaS products. As a Senior Software Engineer, you will design, build, and operate the data pipelines, backend services, and integrations that turn raw engineering signals into trusted, actionable metrics for engineering leaders across the company. You'll work across the full stack &mdash; from cloud infrastructure and data modeling to APIs and the automation that keeps operational records accurate &mdash; and adopt AI-native engineering practices in how we build, not just what we build.<br/></p><p>Key Responsibilities:<br/></p><p>50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens<br/>20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels<br/>20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people<br/>10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>This position typically reports to Software Engineer Manager or Sr. Manager<br/>This position has 0 Direct Reports<br/></p><p>Travel Requirements:<br/></p><p>No travel required.<br/></p><p>Physical Requirements:<br/></p><p>Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>3-5 years of experience<br/>Experience building and operating production services on Google Cloud Platform, including BigQuery<br/>Familiarity with engineering metrics and DORA-style measurement (deployment frequency, lead time, change failure rate) and a healthy skepticism toward vanity metrics<br/>Proficiency in Go, React, and TypeScript &mdash; our backend services are primarily Go, with React/TypeScript front ends for internal dashboards and tools<br/>Prompt engineering experience and exposure to building or operating LLM-backed agents or tools, including integrating them with developer-tool APIs to extract and reconcile data across systems of record<br/>Comfort working in a small platform team supporting many internal stakeholders &mdash; able to triage ambiguous requests, push back on scope, and ship incrementally rather than boiling the ocean<br/>Strong data instincts: comfortable writing and reasoning about SQL against BigQuery datasets, and translating messy operational data into something a director or VP can act on<br/>Prior experience in a role that sits between a platform team and its internal customers &mdash; i.e., you've had to explain why a metric means what it says, not just compute it<br/></p><p>Minimum Education:<br/></p><p>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Preferred Education:<br/></p><p>No additional education<br/></p><p>Minimum Years of Work Experience:<br/></p><p>3-5 years<br/></p><p>Preferred Years of Work Experience:<br/></p><p>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/></p><p>None<br/></p><p>Preferred Leadership Experience:<br/></p><p>None<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>Global Perspective<br/>Manages Ambiguity<br/>Nimble Learning<br/>Self-Development<br/>Collaborates<br/>Cultivates Innovation<br/>Situational Adaptability<br/>Communicates Effectively<br/>Drives Results<br/>Interpersonal Savvy<br/></p><p>Apply End Date: 08/28/2026<br/></p>

Senior Software Engineer - Golang/React (Remote)

Explore 107+ Data engineer data center engineering data center engineering analytics in Atlanta this August. Find roles across top companies and apply now to boost your career.