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Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company's growth, apply now! What you'll be doing Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes Assess the effectiveness and accuracy of new data sources and data gathering techniques Understand and apply proper risk framework to your analysis and modeling. Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions Collaborate cross functionally to implement models and monitor outcomes You'll bring the following required skills and experiences 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc Credit and / or Fraud Risk modeling experience in consumer finance is nice to have Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions Experienced in using Python for analysis and modeling Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.) Excellent cross-functional communication skills Ability to thrive in a fast-paced environment $210,000 - $280,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $210,000 - $280,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail careers@varomoney.com with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/

SUMMARY: The Product Information Management (PIM) Data Analyst is responsible for managing and enhancing the quality of product data within the organization's PIM system. This role executes a structured approach to the collection, creation, maintenance and distribution of master product data through product information management. This role is responsible for the integrity of the organization's master product data systems. JOB DUTIES Creates, inputs, reviews, approves and distributes product master data using various tools and workflows. Works with vendors and third parties to collect and update data. Manages data requests in support of business processes, new product sales initiatives, and mergers and acquisitions. Drives excellence and ensures continuous improvement in quality of data through cleansing and best practices for data construction. Provides input into the development of PIM data collection templates and workflows. Works collaboratively as a data steward within teams to ensure clear understanding of business requirements that are managed in concert with PIM data. Identifies opportunities to gain efficiencies, automate, and improve data quality. Partners with cross functional stakeholders to support business needs. Ensures data output feeds are successful, troubleshooting and/or updating as required. Performs other duties as assigned. EDUCATION & EXPERIENCE Typically requires a bachelor's degree in business, operations, marketing or a related field and zero (0) to two (2) years of related experience or an equivalent combination. KNOWLEDGE, SKILLS, ABILITIES Ability to work in a team environment. Strong Microsoft Office skills (Word, Excel, PowerPoint, Outlook). Excellent written, verbal, and interpersonal communication skills. Desire to understand how things work and provide ideas for improvement. Strong analytical problem solving skills. Knowledge of workflow management techniques such as Lean Six Sigma, Kanban, etc. Experience with product information management tools (Stibo, Salsify, inRiver, Oracle, etc). Experience with data BI tools (Tableau, Power BI, Qlik, etc.). Positive attitude. PHYSICAL DEMANDS: LICENSES & CERTIFICATIONS: None required. SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility BUDGET RESPONSIBILITY: No COMPANY INFORMATION: Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition, reimbursement, vacation, sick, and holiday pay DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time. Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives. With over $284 billion in assets under management as of June 30, 2025, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation. Together with approximately 1,300 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com The Role: The GP Stakes business takes minority ownership stakes in other institutional asset managers (referred to as "Partner Managers"). The existing portfolio consists of 60+ partnerships across a diversified set of GPs with strategies primarily including private equity, public and private credit, and real assets. Our differentiated approach features a robust value creation team called the Business Services Platform, comprised of 60+ professionals globally that provide strategic support to Partner Managers to help drive enterprise value. The Business Services Platform provides support across Client Development and Fundraising, Business Strategy and Growth, and Digital Transformation & Optimization. In this Data / Analytics Engineer role within GPSC BSP Portfolio Intelligence team, you will play a central role working with our data related to Partner Managers. You will focus on building impactful data visualizations and dashboards for business stakeholders, primarily using sources such as Salesforce, Qualtrics, and our Snowflake data warehouse, along with SQL to manage, clean, and interpret data. You'll collaborate closely with business teams to set up intuitive visual reports and help translate their needs and questions into solutions they'll use. This role is pivotal for turning data into actionable insights for the BSP's leadership and various pillars. Blue Owl fosters in-person connectivity, so this role requires working in our New York City office Monday through Thursday each week. Responsibilities: Data Collection, Aggregation & Pipeline Management Connect with stakeholders to understand what metrics and visual insights they need, and how often they need refreshed information. Identify and organize key datasets, ensuring we capture the right data from tools like Salesforce, Qualtrics, and other business applications. Collect, prepare, and manage incoming business data, and load it into Snowflake, our cloud data warehouse. Monitor and maintain the quality of these datasets, keeping documentation straightforward and accessible. Quickly identify and resolve any problems with data or reporting pipelines, ensuring dashboards stay current. Data Governance & Quality Define validation rules, golden sources, and stewardship processes. Run checks to detect duplicates, missing values, and integrity exceptions. Publish regular data quality scorecards; drive remediation with content owners. Maintain appropriate role-based access controls. Analysis, Visualization & Self-Service Enablement. Work directly with business teams and analysts to structure data for easy self-service access in dashboards. Build and design interactive dashboards and reports that highlight portfolio performance, trends, and key business results, making use of SQL and Snowflake for data preparation. Use visualization tools (such as Tableau or PowerBI) to make complex datasets understandable and attractive for users across the firm. Provide quick visual summaries or benchmarking packages that make decision-support easy for stakeholders. Collaborate with the AI team to support the use of AI tools to automate tasks like summarizing engagements with Partner Managers or parsing documents, as needed. Skillset: Technical Advanced proficiency in SQL, and strong experience working with cloud data warehouses, especially Snowflake. Hands-on experience connecting and managing data from business systems such as Salesforce and Qualtrics. Proven experience in developing business dashboards and reports with visualization tools (Tableau, PowerBI, etc.). Comfortable designing workflows that help people access and use data visually. Familiarity with basic Python or scripting for data operations is a plus, but not required. Familiarity with modern data stack (ex. dagster/Airflow, dbt/SQLmesh, spark, etc.) DevOps experience, familiarity building CI/CD pipelines (git, AWS, Docker) Experience with data governance best practices, including data lineage/documentation, access control, integrity testing Experience with BI/dashboard development (ex. Tableau/PowerBI, Apache Superset); application development experience a plus (ex. Javascript frameworks, HTML/CSS) Familiarity with generative AI, LLM APIs, embeddings, vector databases, and prompt engineering basics. Experience integrating SaaS business systems (Salesforce, Preqin, Qualtrics, etc.) Business & Soft Skills: Ability to translate business questions into data requirements and vice versa. Strong analytical mind-set with meticulous attention to detail. Excellent written and verbal communication; can create concise data briefs for senior (non-technical) leadership. Project-management discipline; comfortable juggling multiple deadlines. Collaborative spirit-you enjoy being the connective hub across teams. Qualifications: Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, Finance, or related discipline. 3+ years' experience in data management, data engineering, business intelligence, or analytics (financial services or private-equity environment a plus). Demonstrated success building production-grade data pipelines and dashboards that influence business decisions. Exposure to investment, portfolio monitoring, or KPI benchmarking concepts preferred. It is expected that the base annual salary for this New York City- based position will be $185,000. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

Year Round COLLABORATION | AUTHENTICITY | PURPOSE | EMPOWERMENT Alterra Mountain Company is a family of iconic year-round mountain destinations, the world's largest heli-skiing operation, and Ikon Pass - the premier ski and snowboard season pass offering access to more than 50 iconic mountain destinations around the world. Headquartered in Denver, Colorado and born out of a shared love of the mountains and adventure, Alterra Mountain Company exists to shape the future of mountain adventure. WHAT WE OFFER Free Ikon Pass for all eligible employees + additional free skiing/riding privileges across the family of Alterra Mountain Company resorts for eligible employees and their dependents Discounted skiing/riding for friends and family of eligible employees across the family of Alterra Mountain Company resorts Flexible Time Off (FTO) and Paid Time Off (PTO) policies for eligible employees to relax and recharge Generous discounts on outdoor gear, apparel, rental cars, etc. Medical, dental, vision, life, AD&D, short-term & long-term disability insurance, EAP, HSAs, FSAs, and more 401(k) plan with generous company match Paid parental leave of up to 6 weeks for eligible employees Commuter benefits (Denver employees only) Flexible/hybrid workplace policy empowering employees to work from home, while encouraging regular in-person collaboration in our dog-friendly company headquarters office located in Denver's RiNo Art District neighborhood For information on Alterra Mountain Company's Social Responsibility work, please see our webpage at https://www.alterramtn.co/impact . Among other resources, Alterra has a slate of Employee Resource Groups to support our workforce. POSITION SUMMARY The Retail Data Specialist is a key member of the Alterra Retail Shared Services team, responsible for ensuring the accuracy, consistency, and reliability of retail and rental product data across Alterra resorts. This role focuses on the execution and continuous improvement of data management practices to support enterprise-wide retail operations. The ideal candidate is analytical, highly organized, and values precision in data handling. They embrace Alterra's core values, demonstrate professional accountability, and contribute to a collaborative team culture that supports operational excellence. ESSENTIAL DUTIES General Responsibilities Retail Data Management & Administration: Administer the creation, maintenance, and lifecycle management of core retail product data including SKUs, pricing structures, barcodes (UPCs), and classification attributes across inventory management and POS systems. Maintain adherence to established Standard Operating Procedures (SOPs), data governance frameworks, and data integrity standards. Data Quality Assurance & Integrity Audits: Perform systematic data audits and validation routines to identify anomalies, resolve discrepancies, and mitigate data quality risks. Implement controls and checks (manual and automated) to ensure completeness, accuracy, and synchronization of data across integrated systems. Leverage advanced Excel functions (e.g., VLOOKUP, CONCATENATE, IF, TRIM, PROPER) and other data analysis tools to troubleshoot and correct data integrity issues. Cross-Functional Collaboration & Support: Partner with merchandising, retail operations, and inventory technical analytics teams to resolve data-related issues, onboard new product data, and ensure seamless system performance. Translate operational data needs into structured data requirements for input into retail systems. This role will be instrumental in the support of data migration for additional businesses to the inventory management system and database. Process Optimization & Documentation: Analyze existing data workflows and recommend scalable solutions to increase efficiency, data accuracy, and automation. Support documentation of business rules, data flow diagrams, and process improvements to standardize data operations. Additional Responsibilities: Participate in special projects and system enhancement initiatives as needed. Perform other duties as assigned to support the central data governance mission. REQUIRED QUALIFICATIONS Proficient in Microsoft Excel (advanced functions) and data tools; experience with SaaS platforms and BI/reporting tools is a plus. Experience working within MDM (Master Data Management) or POS systems is highly desirable. 2+ years of experience in data entry or data management, preferably within a retail or enterprise operations environment. Strong understanding of data governance principles, data lifecycle, and quality assurance best practices. Excellent attention to detail with a structured, process-oriented mindset. Strong problem-solving capabilities and the ability to work independently in a high-volume, deadline-driven environment. Effective communication and documentation skills for cross-functional coordination. Ability to maintain confidentiality and manage sensitive data with discretion. Professional/lived experience working in a culturally competent manner with a broad range of people. The base hourly pay range below represents the low and high end of the Alterra Mtn Co Shared Services Inc. hourly pay range for this position. Actual pay will vary and may be above or below the range based on various factors including but not limited to experience, education, training, location, merit system, quantity or quality of production, responsibilities, and regular and/or necessary travel. The range listed is just one component of Alterra Mtn Co Shared Services Inc.'s total compensation package for employees. Other rewards may include short-term and long-term incentives and many region-specific benefits. Denver area base hourly pay range: $21.15 - $29.33 per hour Application Deadline: This position is open and still accepting applications. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. Alterra Mountain Company and its affiliates are equal opportunity employers.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Description Generator Output The Opportunity As part of the Data and Analytics Engineering team you will develop, implement, and enhance machine learning models and algorithms for various applications. As a Senior Associate you will analyze complex problems, mentor others, and maintain rigorous standards while building meaningful client connections and navigating increasingly complex situations. This role offers the chance to deepen your technical knowledge and grow your personal brand while collaborating with stakeholders to create innovative solutions. Responsibilities Mentor junior team members to enhance their skills and knowledge Build and maintain productive relationships with clients Navigate intricate situations to deliver quality results Uphold professional standards and maintain quality in deliverables Continuously enhance technical knowledge and personal brand What You Must Have Bachelor's Degree 3 years of machine learning and generative AI development experience What Sets You Apart Doctor of Philosophy in Computer Science, Data Processing/Analytics/Science, Business Administration/Management, Risk Management, Statistics, Mathematical Statistics preferred Developing and optimizing machine learning models and algorithms Designing and building generative AI models for innovative solutions Working with stakeholders to translate business requirements Processing, cleaning, and verifying data integrity Conducting testing and validation of models for accuracy Staying current with advancements in machine learning and AI Mentoring junior team members in data science practices Experience connecting to APIs and systems Demonstrating hands-on experience with OpenAI, CoPilot Studio, Azure AI, Gemini, AgentSpace, Claude, and other GenAI platforms Possessing hands-on experience with LangChain, LangFlow, Agent SDK, AgentForce, AgentSpace, Copilot Studio, LlamaIndex, Autogen, Palantir Foundry, ReAct, etc. Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role: The New York Times is looking for an Engineering Manager to join the Data Platform mission to lead a new engineering team focused on creating data products designed to meet NYT's most important real-time needs, including behavioral and targeting use cases. You will build a team of engineers focused on deploying and managing real-time pipelines and APIs in an event-driven architecture to process event streams and serve aggregated data for customer-facing use cases. You will report to the Director of Data Platform. This is a hybrid role based in our New York City headquarters. Responsibilities: Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement. Hire and develop engineering talent within the team. Oversee the execution of roadmap items and increase productivity and delivery Collaborate with product managers and partners to define product requirements and roadmaps. Guide technical decisions and architectural design for the team's projects. Monitor and report on initiative progress and risks. Experience coaching engineers, helping them make an impact while growing in their careers. Experience collaborating with product and partners to meet shared goals. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 2+ years experience as an Engineering Manager leading a data engineering team building production data pipelines and data products. 5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks. Experience with AWS and their service offerings and tools. Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving. Preferred Qualifications: Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Understanding of modern data platforms, including data lake technologies and medallion architectures. REQ-018501 The annual base pay range for this role is between: $152,000-$190,000 USD The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: October 20, 2025

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Industry/Sector Not Applicable Specialism Oracle Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Business Application Consulting team you will design and implement innovative data architecture strategies that meet current and future business needs. As a Manager you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while driving project success and maintaining exceptional standards. This role offers the chance to enhance your leadership style, motivate and inspire others, and embrace technology and innovation to deliver remarkable results. Responsibilities Foster a culture of innovation and technology adoption within the team Analyze complex data systems to identify improvement opportunities Develop strategic plans that support team and client goals Encourage collaboration and open communication among team members What You Must Have Bachelor's Degree 7 years of experience What Sets You Apart Preferred field(s) of study: Computer Science, Computer and Information Science, Information Technology, Management Information Systems preferred Certification(s) preferred: AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, Oracle Cloud Infrastructure OCI, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate Demonstrating proficiency in data architecture strategies Developing and documenting data models and architecture guidelines Working with stakeholders to translate data requirements Building and optimizing ETL/ELT pipelines for data processing Implementing data integration solutions using cloud services Monitoring and troubleshooting data workflows for quality Knowledge of data governance and security practices Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Requires On Site in Dallas/Ft Worth Area Shift- Monday- Thursday, 7am- 5pm Who We Are Centersquare is a global leader in colocation and interconnection services, with a footprint of more than 60 data centers in over 30 markets, providing services to more than 2,300 leading enterprises and U.S. federal government agencies. Centersquare brings proven operational excellence, global scale, flexibility and customer-focused innovation together to provide a comprehensive portfolio of data center and interconnection services. Summary The Operations Technician 2 (O) is responsible for providing exceptional 24x7 data center support for internal and external customers. Primary responsibilities include installations, troubleshooting, monitoring, and documentation. Primary Responsibilities Work directly with colocation customers to isolate and troubleshoot issues as necessary. Responsible for the installation and troubleshooting of all copper and fiber cross connects and run bundles of cables throughout a data center. Layer 1 cable testing, including light testing, continuity- Transmit/Receive, DB Loss Level, head-to-head testing. Terminate and test cabling using various connectors (LC/SC, RJ45). Thoroughly document all work within a ticket system in support of customer requests and execution of installation tasks. Manage and prepare incoming and outgoing customer tape backups/rotations and offsite transfers. Assume monitoring role for all critical systems utilizing Building Monitoring System. Provide visibility and support to the Facilities Team. Follow all global policies and procedures. Effectively escalate events in a timely manner to the appropriate team. Perform and execute installation/de-installation projects that would include the racking and stacking, dressing cabling and labeling. Work efforts which requires work with ladders and various hand tools. Employee's assigned work shift can vary based on site coverage requirements. Shifts include nights, weekends, and holidays. On-call and overtime will be necessary depending on workload requirements. Lifting of hardware equipment required up to and in excess of 50 pounds. Standing, bending and kneeling as needed to perform this task. Server lifts can be utilized where applicable. Perform additional/other duties as assigned such as (but not limited to): Physical Security including, monitoring and controlling access to the Data Center, cleanliness and appearance of raised floor (including physical clean-up) and shipping/receiving duties. Experience & Qualifications College degree preferred, not required. 2+ years of operational and technical experience in an IT environment required. IT Certification and/or familiarity with BICSI is desired. 2 to 3 years' experience with the installation, testing and terminating of copper, fiber (multi & single mode) and coaxial cable. Working knowledge of all OSI layers, TCP/IP model and associated protocols such as DNS. Highly effective at troubleshooting Layer 1-3 issues (physical, data link and network layers). Thorough understanding of TIA/EIA-568 and IEEE 802.3 Ethernet fundamentals. UNIX/Windows operating system navigation, general commands and system programs/processes knowledge and experience. Security clearance via Government or other agency background check may be required for customer support. Excellent communication and organizational skills are required. Strong team player. Employer will not sponsor visas for this role. Centersquare is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Sensor Tower is seeking a Data Analytics Engineer to join our Innovation and Strategy team as it continues to grow and deliver cutting-edge market intelligence solutions to our most valued clients. Reporting directly to the Director of Innovation and Strategy, this role offers a unique opportunity for someone with hands-on experience in data analytics and consulting. You will collaborate directly with customers and engineers to develop and implement innovative market data solutions, contributing to Sensor Tower's leadership in the industry. Base Salary: $115,000 - $130,000 Hybrid: This role requires three days in the office and allows two days of remote work. What the Data Analytics Engineer will do: Entrepreneurial Innovation & Data Utilization: Leverage your hands-on experience with data to explore and define innovative solutions, developing new use-cases for data assets that scale to create strategic opportunities. Data-Driven Storytelling: Employ strong analytical and storytelling skills to transform complex data into compelling narratives that communicate insights and persuade stakeholders both internally and externally. Cross-Functional Collaboration: Work closely with sales, engineering, and customers to develop and implement comprehensive solutions, ensuring strategic alignment and integration. Client Management: Build and maintain strong relationships with key clients, including Fortune 500 companies, ensuring their success through strategic insights and tailored solutions. Sales & Strategic Support: Partner with the Sales Team to support business development efforts, articulating the strategic impact of our solutions and aiding in the proposal process. Skills and experience the candidate can bring: Data Proficiency: Proven ability to manage and analyze large datasets independently, developing innovative solutions and actionable insights. Expertise in data analysis and visualization tools (SQL, Python, Excel, Tableau, Power BI). Strategic Thinking: Demonstrated track record of identifying, scaling, and creating new data use-cases that drive significant business value. An entrepreneurial approach to developing strategic opportunities. Communication and Collaboration: Ability to transform complex data into compelling narratives for diverse stakeholders. Experience in cross-functional collaboration with sales, engineering, and client teams to implement integrated solutions. Client Relations: Proven experience in building and maintaining strategic relationships with high-profile clients, including Fortune 500 companies, focusing on client success and satisfaction. Nice to have: Hands-on experience with data-driven project management and analysis. Relevant professional experience in Data Science, Business Analysis, Strategy

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

CoreWeave is the AI Hyperscaler, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: The Data Engineering team builds foundational datasets and analytics services that enable BI and data science across CoreWeave. We seek to democratize insights and foster a culture where data-driven decision-making thrives at every level. About the Role: We are seeking a Staff Data Architect to lead the design and implementation of our enterprise data architecture. This role will define our modeling standards, govern the semantic layer, and ensure architectural consistency across our Lakehouse platform. As a senior technical leader, you'll bridge data engineering, analytics, and business strategy-making CoreWeave's data usable, discoverable, and reliable at scale. In this role, you will: Architect the company-wide dimensional modeling and semantic layer strategy. Define and enforce standards for data modeling, documentation, naming, and governance. Guide the evolution of our Lakehouse architecture, including Iceberg/Delta formats, catalog integration, and data zone partitioning. Establish scalable frameworks for data lineage, observability, and data quality enforcement. Partner with Data Engineering, BI, and Product teams to design reusable data assets and semantic models. Provide architectural leadership on schema evolution, schema versioning, and multi-domain data design patterns. Evaluate and standardize tools for data cataloging, modeling, and metadata management. Mentor senior engineers and lead architectural reviews of data-intensive projects. Who You Are: 10+ years of experience in data engineering, software engineering, or architecture roles. Hands-on experience implementing, integrating, and optimizing modern 3rd-party tooling and IT platforms, with a strong ability to evaluate when to build versus buy solutions. Expert in enterprise data modeling (Kimball, Data Vault, or hybrid) and semantic modeling best practices. Deep experience designing and operating scalable data lakes or Lakehouses (Iceberg, Delta Lake, or Hudi). Strong knowledge of MPP and OLAP systems such as StarRocks, Snowflake, BigQuery, or Redshift. Track record of implementing data governance frameworks and semantic layer strategies. Hands-on experience with modern orchestration, processing, and modeling tools (Airflow, Spark, dbt, etc.). Exceptional SQL skills and strong programming ability in either Python, Scala, or Java. Excellent cross-functional communication and leadership skills, with the ability to drive alignment across stakeholders. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000 . The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Medical, dental, and vision insurance- 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act- California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You'll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success-take the lead in shaping your career development, goals and future! Job Summary The Senior Manager of Power Origination for Data Centers is a critical leadership role responsible for developing and executing power supply strategies for NRG's current and prospective data center clients. This individual will drive the origination process from lead generation through contract execution, focusing on securing long-term, competitive, and sustainable power solutions for hyperscale and colocation data center operators. This role requires deep expertise in wholesale power markets, an extensive network within the data center and energy industries, and a proven track record of structuring complex, large-load transactions. Key Responsibilities Strategic Origination and Business Development: Lead the development and implementation of the company's origination strategy for the data center sector, aligning with corporate growth, sustainability, and profitability targets. Proactively identify and cultivate new business opportunities by building and maintaining strong relationships with data center developers, operators, and key industry stakeholders. Represent the company at industry conferences, trade shows, and professional networks to enhance market presence and brand recognition. Transaction Structuring and Execution: Spearhead the end-to-end deal process, including initial proposal development, term sheet negotiation, and contract execution. Design and structure innovative power solutions that meet the unique needs of data center clients, including grid connection, bridge and prime generation and powered land. Lead the negotiation of complex legal and commercial terms with counterparties, coordinating with internal teams such as Legal, Credit, and Risk Management. Market and Financial Analysis: Conduct in-depth analysis of energy markets (e.g., ERCOT, PJM, NYISO, CAISO, ISO-NE, MISO), identifying trends, risks, and opportunities specific to large-load origination. Utilize advanced financial modeling skills to evaluate the economic viability, profitability, and risk of potential transactions. Provide expert insights on energy pricing, market dynamics, and regulatory changes to inform deal strategy and internal decision-making. Leadership and Cross-Functional Collaboration: Manage and mentor junior team members, fostering a high-performing and collaborative team environment. Act as the primary commercial lead for data center transactions, working closely with cross-functional teams including power trading, asset management, engineering, and finance to ensure seamless project delivery. Serve as the internal subject matter expert on data center energy procurement, providing guidance to leadership and other business units. Qualifications Education: Bachelor's degree in Finance, Business, Economics, Engineering, or a related field. An advanced degree (MBA) is highly preferred. Experience: 7+ years of experience in power origination, wholesale power markets, or a related commercial energy role. 3+ years of specific experience originating and executing power supply agreements for large-load, mission-critical customers, with a strong focus on the data center sector. Proven track record of success in "hunting" for and closing multi-year power transactions. Extensive network of contacts within the data center and energy industries, including developers, operators, and power marketers. Skills & Competencies: Deep expertise in power market fundamentals and an understanding of grid interconnection processes, transmission planning, and regulatory compliance. Superior financial modeling, valuation, and analytical skills. Exceptional negotiation and communication skills, with the ability to articulate complex concepts to both technical and non-technical audiences. Strong leadership capabilities with experience managing and developing teams. Ability to work independently and manage multiple complex projects simultaneously in a fast-paced environment. Proficiency in Microsoft Office Suite is required; experience with data analysis tools (e.g., Python, R) and CRM software (e.g., Salesforce) is a plus. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. Official description on file with Talent. Nearest Major Market: Houston

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: October 20, 2025

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on commercial energy providers. This individual will be a hands-on leader, responsible for shaping and delivering AI- and data-driven transformations that enable utilities to achieve operational excellence, decarbonization goals, grid modernization, and customer-centric innovation. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through advanced analytics, data strategy, and AI-based solutions. This is a leadership role for someone who thrives at the intersection of technology, data, and industry strategy. Client Leadership & Engagement Serve as a trusted advisor to utility clients on AI and data strategy, including demand forecasting, asset analytics, grid optimization, and customer engagement. Lead client engagements end-to-end from strategy through implementation, ensuring delivery excellence and measurable business outcomes. Develop and maintain relationships with key clients and stakeholders. Solution Development & Innovation Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and analytics products. Stay ahead of industry trends and emerging technologies to inform solution development. Team & Practice Leadership Support business development through proposal development, thought leadership, and strategic pursuits. Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants. Contribute to recruiting, talent development, and thought leadership within the practice. Industry & Domain Expertise Apply deep knowledge of the energy and utilities industry to shape strategies around DER integration, energy transition, grid modernization, regulatory compliance, and customer experience. Interpret regulatory and policy changes to identify opportunities for AI and data enablement. What You Will Need: Minimum SEVEN (7) years of experience of hands-on AI, data engineering, and analytics expertise Minimum FIVE (5) years of experience delivering data-driven transformation programs within the utilities or broader energy sector. Strong understanding of AI/ML technologies, data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and analytics methodologies. Demonstrated experience supporting the business development lifecycle, such as capture and proposal writing related activities. Proven track record of leading large-scale analytics and AI engagements from concept to execution. Demonstrated ability to source and lead the formation and execution of successful partnerships between and across major stakeholders including technology partners and business end-users. Proven ability to collaborate with audiences with a wide range of technical knowledge and at different levels of an organization, from the C-Suite (CIO, CISO, CDO) to a data engineer or data analyst. Ability to influence and motivate a team of data and AI specialists across a variety of functions to establish and deliver capabilities at scale. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Bachelor's degree Master's Degree in Data Engineering, Data Science, Artificial Intelligence, Computer Science, or related technical field AI/LLM Certifications Project Management Professional (PMP) The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description DPR Construction is seeking a strategic and detail-oriented Data Analyst to lead the development and management of our company-wide dashboards. This role will primarily focus on aggregating and summarizing key metrics from across the organization, with a special emphasis on dashboards that support our Enterprise Goals & Objectives and other strategic initiatives. This role will partner with our data analytics and engineering team members to identify the key metrics we want to move into our company-wide dashboards and assist in building the framework and consumption layers for ensuring our company-wide dashboards are aligned with more detailed workgroup specific dashboards. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery Develop and maintain relationships with business stakeholders across all functional groups of DPR. Develop a deep understanding of their processes, tools, and goals, and be able to speak to how our developed KPIs speak to those goals. Create, maintain and communicate detailed schedules for this wide-ranging KPI development. Coordinate technical teams performing development of KPIs and communicate progress to business teams. Create, maintain and execute quality control and practices to ensure that we deliver accurate information to end-users Visualization / Storytelling: Work with stakeholders to understand and align on business requirements Create and maintain dashboards and Apps, as required Deliver actionable insights to improve business processes and drive strategic conversations Track and monitor usage metrics to understand and measure adoption/impact of analytics Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: Identify root source of data integrity issues (report, DFL, data warehouse, source system) Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: Create complex data models in visualization tool, and make transformations as needed Query Data Warehouse using SQL to quickly analyze datasets Clean data, as required Identify potential new datasets to add to the Data Warehouse Identify potential new integrations between source systems and the Data Warehouse Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation Work with Data Engineering in the development and maintenance of the data catalog Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance Follow, implement, and enhance data security and governance guidelines Create, maintain, and implement security for DFLs Review requests and grant access to DFLs, Reports, and Apps, as needed Create and maintain RLS in visualization tool, where needed Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management Complete impact analysis on reports when changes are made to source systems or tables upstream Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization Identify opportunities for data collaboration and integration between disciplines Coordinate alignment, as applicable, across other T&I groups Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing Participate in Focus Group meetings to align support functions Training / Data Literacy Train end-users on how to use and interpret information/insights on deployed dashboards/reports Train end-users on how to build reports themselves Provide "on-the-job' training to business stakeholders when needed Work with Data Engineering and others to develop and maintain tool for Self Service Analytics Increase data literacy of business stakeholders through targeted trainings and conversations Identify opportunities to improve data literacy throughout DPR Data SME Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users Ensure source of truth system(s) are identified and operational Qualifications Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus five (5) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus seven (7) years of experience. Proven track record of managing large-scale analytics projects spanning multiple functional groups. Experience guiding business partners (who may have limited experience with technology and data) through the process of KPI development. Construction Experience including knowledge of industry trends, terminology, and typical processes is strongly preferred. Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. Analytic skills, including data mining, evaluation, analysis, and visualization. Ability to create semantic data models and understand dependencies between source systems. Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. Experience with consuming APIs from the client side including REST and GraphQL. Experience with SQL scripting required. Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. Demonstrated success in building trusted relationships with internal/external clients and customers. A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

SHIFT is M-F 2pm- 10pm Summary Who We Are Centersquare is a global leader in colocation and interconnection services, with a footprint of more than 60 data centers in over 30 markets, providing services to more than 2,300 leading enterprises and U.S. federal government agencies. Centersquare brings proven operational excellence, global scale, flexibility and customer-focused innovation together to provide a comprehensive portfolio of data center and interconnection services. The Centersquare Facilities Technician 2 (F) position is responsible for supporting monitoring, troubleshooting and maintenance of both the electrical and mechanical infrastructure within the data center in a 24/7 mission critical environment. On-call rotation to provide emergency response required. Shift, evening, and weekend work expected. Shift is M-F 8am- 4:30pm Primary Responsibilities Support the maintenance and repair of mechanical and electrical infrastructure per manufacturers' recommendation and corporate specifications. Identify and troubleshoot the root cause of problems. Perform and execute necessary building rounds throughout the data center and property as directed to ensure the integrity of the site. Assist and perform the verification of customer installation activities. Work with or provide oversight of contractors and service providers in the data center as appropriate. Ensure facilities systems data integrity. Monitor building management systems and other automated tools and applications to ensure operational efficiencies and compliance with service level agreements (SLAs). Provide on-call support and emergency response as required. Perform assigned tasks as part of a project team. Respond to both internal and external work requests within a timely manner delivering a high level of support. Understanding, comprehension, and implementation of method of procedures (MOPs). Ability to lift hardware or equipment up to and more than 50 pounds. Standing, bending, and kneeling as needed to perform task. Other duties as assigned. Education & Qualifications High School Diploma or equivalent required. Technical certification(s) in critical facilities or data center field preferred. 2-years of mission critical facilities operations experience preferred. As a member of an on-call rotation, provide emergency response as needed. Shift, evening, weekend, and occasional overtime work required. Operational experience with data center critical infrastructure equipment (i.e., switchgear, generators, UPS, PDU, Chillers, RTU, CRAH/CRAC, Chilled Water systems, and VESDA). Work independently with minimal supervision. Ability to work with multiple vendors. Excellent organizational and communication skills. Maintain facilities related documentation. Proficient with office productivity, ticketing system, computer aided design, and other applications. Ability to pass security clearance and/or background check via government or similar agency may be required. Pay - $78,000 - $88,000 plus bonus Medical Dental Vision 401k Employer will not sponsor visas for position Centersquare is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.