L3 Data Center Technician VailexaL3 Data Center TechnicianSanta Clara, CARole Overview: We are seeking an experienced Data Center Technician (L3) to support the installation, maintenance, troubleshooting, and optimization of large-scale, high-performance data center infrastructure for our customer. The ideal candidate is a self-driven problem solver who can independently execute complex tasks, mentor junior technicians, and ensure operational excellence in a fast-paced, mission-critical environment.
Clinical Data Analyst - Pharmacy Stamford American International HospitalClinical Data Analyst - PharmacyPalo Alto, CA$45.94–$59.73 / hourWrite reports, perform complex data analysis of clinical, financial and demographic data, interpret results, develop summaries, and generate data displays for senior management and client groups to use in the evaluation or planning of improvement initiatives within the Comprehensive Stroke Center. Positions at this level are expected to experienced, fully proficient in all areas of responsibility, able to operate independently, capable of using discretion and decision making in the execution of assignments and delivery of results.
Data Scientist II - Contract TalentBurst, Inc.Data Scientist II - ContractSouth San Francisco, CA$79–$79.96 / hourThe ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams. This role will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes.
NewMS Data Consultant Vaco LLCMS Data ConsultantPalo Alto, CATechnology Environment Microsoft Azure Microsoft Fabric Power BI Power Platform Dynamics CRM Microsoft Copilot Alteryx Enterprise ERP and business applications Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual’s skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs.
Data Scientist - AI/ML Stamford American International HospitalData Scientist - AI/MLPalo Alto, CA$79.21–$104.97 / hourThis group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicines inaugural Chief Data Scientist, this role is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost-effective manner.
NewManaging Principal / Senior Director, Data Analytics Consulting EPAM SystemsManaging Principal / Senior Director, Data Analytics ConsultingSan Francisco, CAThis is a high-impact, client-facing role designed for an ambitious professional with deep technical expertise in AI & Data, proven consulting acumen, and a track record of driving transformational outcomes for enterprise clients. • Serve as a trusted strategic advisor to senior executives (VP, SVP, C-suite) on AI enablement, data-driven transformation, and operational efficiency for Fortune 500/50 clients.
Product Manager, Data HiveProduct Manager, DataSan Francisco, CA$120,000–$170,000 / yearYou are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects. Work closely with teams comprised of engineers, designers, sales, and play a critical role in planning of projects to ensure the timely delivery of quality products and features.
Sr. Manager, Enterprise Data Products Program Stamford American International HospitalSr. Manager, Enterprise Data Products ProgramPalo Alto, CA$100.03–$132.51 / hourThe Senior Manager of Data Products will report to the Chief Data & Analytics leadership team to work cross-functionally with teams across the health system and the university to identify, build, launch and support products and services supported by the Enterprise Data Platform. This role will focus on building Stanford Health Cares (SHC) solutions that effectively utilize data assets, advanced analytics, Artificial Intelligence (AI) and other techniques to improve patient care, medical research, and administrative services.
Data Engineer IV- #26-20114 US Tech Solutions, Inc.Data Engineer IV- #26-20114Menlo Park, CAIn this role, you will support our data infrastructure and analytics initiatives, working with cross-functional teams to deliver high-quality data solutions. US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.
Senior Data Quality Engineer Stamford American International HospitalSenior Data Quality EngineerPalo Alto, CA$66.52–$88.14 / hourWe are seeking a highly experienced and strategic Senior Data Engineer to lead the advancement of our enterprise data governance capabilities, serving as a cornerstone of our organization’s commitment to trusted, high-quality data. Without supervision, performs analysis, development, and testing of complex data marts, and support other data engineers in performing these tasks, and encourages use of the solutions for data-driven decision making.
NewSenior Data Scientist MicrosoftSenior Data ScientistMountain View, CA$119,800–$234,700 / yearOR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results.
NewSenior Manager, Financial Analysis VisaSenior Manager, Financial AnalysisFoster City, CA$149,800–$240,100 / yearThis role provides financial leadership, decision support, and analytical insight across technology and innovation portfolios, partnering closely with Technology, Product, and Finance leaders to ensure effective cost discipline and delivery of strategic technology priorities. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
NewData Collection Researcher I TEKsystemsData Collection Researcher ISan Jose, CA$25–$30 / hourPrimary responsibilities: - Manage data collection processes including securing testing materials, handling logistics, and providing daily report outs- Own defined projects focused on improving parts of the data collection processes- Work closely with engineering and research groups to improve usability and data collection speed. In simple terms: Our client wants someone who is detail-oriented, technically curious, comfortable with robots and computers, capable of managing projects independently, and focused on collecting accurate data while continuously improving processes.
Principal Data Analyst WDPrincipal Data AnalystSan Jose, CAThis role will serve as a key partner to Supply Chain Planning, Finance, Operations, Commercial, Product Management, and Executive Leadership teams, helping structure and evaluate critical business scenarios associated with Western Digitals Long-Range Plan (LRP), annual operating plans, capital investment strategies, manufacturing capacity decisions, customer demand shifts, product transitions, and other strategic initiatives. The successful candidate will not only perform advanced scenario modeling and business analysis but will also define and execute a multi-year roadmap to automate data integration, dashboarding, and modeling capabilities through close partnership with IT, Data Engineering, and Digital Transformation teams.
NewInventory Analysis and Reconciliation Specialist ATR InternationalInventory Analysis and Reconciliation SpecialistMilpitas, CAMonitor and report on transaction errors ensuring proper action if Kits are short, material pulled is not correct, · Set up a process for kit pull to count the correct attrition levels. While performing the duties of the job, the employee is regularly required to sit, stand and/or walk for extended periods of time; use hands and fingers to handle panels and boards; reach with hands and arms; and talk and hear.
NewGame Data Analyst West Valley Staffing GroupGame Data AnalystSanta Clara, CAIn our Cloud Gaming Datafactory team, we're dedicated to creating immersive gaming experiences that captivate players worldwide. Share detailed feedback and insights on gameplay experiences with our team and broader audience.
Senior Software Engineer, Backend - Data Cloud RipplingSenior Software Engineer, Backend - Data CloudSan Francisco, CAHeres how they relate: Data Cloud provides the unified data that AI reasons over: • Rippling AI leverages the Employee Graph and all platform data (payroll rules, earnings types, deduction logic, permissions, etc.) as its source of truthBecause Rippling is a unified platform rather than stitched-together acquisitions, the data is clean, consistent, and complete which makes AI answers accurate and context-awareAI respects the same permissions model as the rest of the platform, so it only surfaces data the user is authorized to see. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employees role.
NewSenior Salesforce Data Cloud Architect EPAM SystemsSenior Salesforce Data Cloud ArchitectSan Francisco, CAWere hiring a Salesforce Data Cloud Architect who can design and deliver enterprise-grade Data Cloud solutions and walk into a client conversation and own it: Half deep technical delivery, half commercial impact. • Play the part of a senior individual contributor with informal leadership of 3–5 architects per engagement - you will mentor architects, engineers, and analysts and contribute to EPAMs Data Cloud thought leadership.
NewArchitect, Data Platform — AgentExchange Tableau SoftwareArchitect, Data Platform — AgentExchangeSan Francisco, CAArchitect how agents access marketplace data safely — including MCP servers that expose curated data tools to internal and partner-facing agents, RAG over partner / listing / telemetry corpora, embeddings and vector store strategy, and evaluation harnesses for LLM-driven insights. The AgentExchange Data Services team owns the data infrastructure, telemetry pipelines, marketplace measurement framework, partner analytics platform, and the ML-powered signals that give partners, customers, and Salesforce leadership real-time visibility into how the ecosystem is performing.
Sr. Enterprise Data Engineer Stamford American International HospitalSr. Enterprise Data EngineerPalo Alto, CA$66.52–$88.14 / hourThis role will develop data ingestion processes to the SHC Enterprise Data Platform (Lake), create data pipelines and other solutions, and automate development and operational processes to enable Data Products and solutions that improve the patient experience, patient outcomes, research capabilities, and operational results. Ability to develop solutions in cloud data platforms (i.e., Azure, DataBricks, etc.) and technologies (i.e., PySpark, Notebooks, GitHub, etc.) to deploy production solutions in a secure and highly automated manner.