{"schemaVersion":"jobsearcher.job.v1","id":"d6c64a3c43e73b75f348b56a","url":"https://jobsearcher.com/jobs/d6c64a3c43e73b75f348b56a","canonicalUrl":"https://jobsearcher.com/jobs/d6c64a3c43e73b75f348b56a","title":"Data Analytics Engineer II","description":"About Switch\n\nAt Switch, we don't just design, build and operate data centers—we are enabling the technology of the future. Led by Founder & CEO, Rob Roy, we believe in revolutionary innovation, operational excellence and the principle of karma. Switch is where talented people come together to EVOLVE the digital world.\n\nWe believe that innovation isn't just about technology—it's about the people, culture, and purpose that make it happen. Every Switch team member contributes to a mission greater than themselves: to create the world's most advanced digital infrastructure that powers the progress of humanity.\n\nThe Role: Data Analytics Engineer II\n\nThe Data Analytics Engineer II develops engineering, statistical, and data solutions that support the performance and lifecycle management of critical infrastructure across Switch data centers. This role works with data related to power, water, cooling, and other infrastructure systems to support utility resourcing, capacity management, efficiency, root cause analysis, design feedback, condition-based maintenance, end-of-life planning, and continuous improvement.\n\nYou will build and maintain data pipelines, analytical models, warehouses, applications, and automation that turn infrastructure data into reliable information for engineering and operational decisions. You will also support statistical and machine-learning workflows and help integrate emerging AI capabilities into practical engineering and business applications.\n\nThis role partners closely with Operations, Commissioning, Construction, Engineering, and other stakeholders to ensure data solutions address real operational needs and support reliable data center performance.\n\nWhat You'll Do\nBuild and operate end-to-end data systems, including acquiring data from APIs, databases, and external systems.\nDesign data models and develop scalable ETL/ELT pipelines that load, cleanse, transform, and unify data for analytics.\nDesign, optimize, and maintain analytical data warehouses and supporting schemas.\nDevelop high-performance Starburst SQL queries, views, and transformations to support large-scale reporting and analysis.\nBuild and maintain data-driven web applications that connect backend APIs with analytical databases.\nPartner with application development teams to deploy data applications securely and reliably at scale.\nSupport machine-learning and statistical workflows by developing automated feature-generation pipelines and providing clean, accessible datasets.\nDevelop automation that reduces repetitive data-processing work and improves consistency.\nDesign and deploy generative AI applications and autonomous agents using large language models, APIs, and orchestration frameworks.\nApply AI capabilities to automate workflows, improve user experiences, and support scalable engineering and operational solutions.\nMonitor and optimize data pipelines, databases, applications, and supporting systems for reliability, performance, and scalability.\nEstablish and maintain data-quality standards and controls.\nImplement appropriate data security and compliance measures to protect sensitive information.\nDevelop engineering and statistical models that support analysis of data center power, water, cooling, capacity, availability, efficiency, and lifecycle performance.\nAnalyze complex datasets and translate findings into practical recommendations for engineering, operations, and leadership.\nSupport root cause analysis, continuous improvement, condition-based maintenance, capacity management, and infrastructure lifecycle programs.\nProvide data and performance insights that inform design feedback and infrastructure improvement decisions.\nPartner with Operations, Commissioning, Construction, Engineering, and other stakeholders to understand requirements and develop appropriate data solutions.\nIdentify opportunities to improve analytical methods, tools, automation, and data workflows.\nWhat We're Looking For\nYou use data and engineering knowledge together to solve practical infrastructure problems.\nYou can work across data engineering, analytics, software, and engineering domains rather than treating them as separate disciplines.\nYou analyze complex datasets and translate findings into clear recommendations.\nYou understand how data quality, architecture, and system reliability affect the decisions people make from the data.\nYou identify problems, evaluate available information, and develop practical solutions.\nYou communicate technical findings clearly to engineering, operational, and business stakeholders.\nYou work effectively across Operations, Commissioning, Construction, and Engineering teams.\nYou remain flexible, proactive, resourceful, and efficient when requirements or priorities change.\nYou work effectively under pressure and maintain focus on reliable outcomes.\nYou share technical knowledge and contribute to the development of the broader team.\nWhat You'll Bring\nRequired Qualifications\nBachelor of Science or higher in Mechanical Engineering, Electrical Engineering, Computer Science, or an equivalent math-intensive discipline.\n2+ years of experience supporting critical infrastructure or data center operations.\n1+ years of experience in an engineering role.\n1+ years of experience in a data science, data analytics, or comparable analytical role.\nAdvanced understanding of electrical and mechanical systems used in data center environments, which may include electrical feeders, transformers, generators, switchgear, UPS systems, power systems, ATS/STS units, PDU units, air handling units, cooling towers, pumping systems, and fire suppression systems.\nAbility to interpret P&IDs, wiring diagrams, schematics, sequences of operation, submittals, and MEP drawing packages.\nStrong understanding of data analysis methodologies and statistical techniques.\nExperience with database management and data analysis tools.\nExperience using Python or another programming or cloud-computing language.\nExperience working with SQL and analytical data environments.\nAbility to analyze complex information and develop solutions to technical problems.\nAbility to translate analytical findings into recommendations for stakeholders and leadership.\nStrong Microsoft Outlook, Publisher, Word, Excel, and PowerPoint skills.\nPreferred Qualifications\nProfessional Engineer (PE) license.\nExperience developing scalable ETL/ELT pipelines and analytical data models.\nExperience with Starburst or comparable distributed SQL/query platforms.\nExperience developing data-driven web applications and API integrations.\nExperience supporting machine-learning or statistical modeling workflows.\nExperience developing generative AI applications, LLM-based workflows, or autonomous agents.\nExperience supporting infrastructure capacity, reliability, efficiency, condition-based maintenance, or lifecycle programs.\n\nWe recognize that qualified candidates may not meet every preferred qualification. If your experience aligns with the core responsibilities of the role, we encourage you to apply.\n\nWhy Switch?\n\nA Culture of Karma – We are self-motivated by karma, ensuring our actions contribute to a positive, supportive and forward-thinking environment.\n\nIndustry Leading Designs – Work with the most advanced data center technology on the planet and be a part of emerging technology development.\n\nFlexibility & Remote Opportunities – Whether in-office, hybrid, or fully remote, we offer the technology and support to keep teams connected and productive.\n\nCareer Stability & Growth – In this expanding industry, we invest in our people, providing opportunities & advancement in a stable, growing company.\n\nGenerous Benefits Package - Switch provides comprehensive coverage for you and your family that can be tailored to fit your personal needs, and more!\n\nJoin Us & Make a Difference\n\nThis is more than a job—it's a mission. If you're ready to be part of a culture that values innovation, karma, and limitless potential, we want to hear from you.\n\nApply Now and Let's Build the Future Together.\n\nApplicant and Candidate Privacy Notice\nYour privacy rights may vary by location. Learn more in our Switch Applicant and Candidate Privacy Notice https://www.switch.com/applicant-and-candidate-privacy/ to understand how Switch collects, uses, shares, and protects your personal information during the recruiting process.\n\nSafe Hiring Notice\nLegitimate Switch recruiting emails come from switch.com. Current opportunities are posted on https://switch.com/careers and the official Switch LinkedIn Company page https://www.linkedin.com/company/switch-data-centers/. Switch will never ask you to pay fees, purchase equipment, send money, cash a check, or transfer funds as part of recruiting. Personal information is collected only through approved Switch systems.\n\nIf you suspect recruiting fraud, stop communicating with the sender and review FTC guidance https://consumer.ftc.gov/articles/what-do-if-you-were-scammed.\n\nEqual Employment Opportunity\nSwitch is an Equal Opportunity Employer. We provide employment opportunities without discrimination or harassment based on any characteristic protected by applicable federal, state, or local law.\n\nAccommodations\nSwitch provides reasonable accommodations to qualified individuals with disabilities throughout the hiring process. If you need an accommodation, contact careers@switch.com.\n\nSwitch also considers qualified applicants with criminal histories in accordance with applicable law.\n\nRecruitment Agencies\nSwitch does not accept unsolicited resumes or candidate submissions from agencies without a current written agreement. Switch is not responsible for fees related to unsolicited submissions.","company":"Switch Data Centers","rawCompany":"switch data centers","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-10-19T12:22:07.410Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer II","description":"About Switch\n\nAt Switch, we don't just design, build and operate data centers—we are enabling the technology of the future. Led by Founder & CEO, Rob Roy, we believe in revolutionary innovation, operational excellence and the principle of karma. Switch is where talented people come together to EVOLVE the digital world.\n\nWe believe that innovation isn't just about technology—it's about the people, culture, and purpose that make it happen. Every Switch team member contributes to a mission greater than themselves: to create the world's most advanced digital infrastructure that powers the progress of humanity.\n\nThe Role: Data Analytics Engineer II\n\nThe Data Analytics Engineer II develops engineering, statistical, and data solutions that support the performance and lifecycle management of critical infrastructure across Switch data centers. This role works with data related to power, water, cooling, and other infrastructure systems to support utility resourcing, capacity management, efficiency, root cause analysis, design feedback, condition-based maintenance, end-of-life planning, and continuous improvement.\n\nYou will build and maintain data pipelines, analytical models, warehouses, applications, and automation that turn infrastructure data into reliable information for engineering and operational decisions. You will also support statistical and machine-learning workflows and help integrate emerging AI capabilities into practical engineering and business applications.\n\nThis role partners closely with Operations, Commissioning, Construction, Engineering, and other stakeholders to ensure data solutions address real operational needs and support reliable data center performance.\n\nWhat You'll Do\nBuild and operate end-to-end data systems, including acquiring data from APIs, databases, and external systems.\nDesign data models and develop scalable ETL/ELT pipelines that load, cleanse, transform, and unify data for analytics.\nDesign, optimize, and maintain analytical data warehouses and supporting schemas.\nDevelop high-performance Starburst SQL queries, views, and transformations to support large-scale reporting and analysis.\nBuild and maintain data-driven web applications that connect backend APIs with analytical databases.\nPartner with application development teams to deploy data applications securely and reliably at scale.\nSupport machine-learning and statistical workflows by developing automated feature-generation pipelines and providing clean, accessible datasets.\nDevelop automation that reduces repetitive data-processing work and improves consistency.\nDesign and deploy generative AI applications and autonomous agents using large language models, APIs, and orchestration frameworks.\nApply AI capabilities to automate workflows, improve user experiences, and support scalable engineering and operational solutions.\nMonitor and optimize data pipelines, databases, applications, and supporting systems for reliability, performance, and scalability.\nEstablish and maintain data-quality standards and controls.\nImplement appropriate data security and compliance measures to protect sensitive information.\nDevelop engineering and statistical models that support analysis of data center power, water, cooling, capacity, availability, efficiency, and lifecycle performance.\nAnalyze complex datasets and translate findings into practical recommendations for engineering, operations, and leadership.\nSupport root cause analysis, continuous improvement, condition-based maintenance, capacity management, and infrastructure lifecycle programs.\nProvide data and performance insights that inform design feedback and infrastructure improvement decisions.\nPartner with Operations, Commissioning, Construction, Engineering, and other stakeholders to understand requirements and develop appropriate data solutions.\nIdentify opportunities to improve analytical methods, tools, automation, and data workflows.\nWhat We're Looking For\nYou use data and engineering knowledge together to solve practical infrastructure problems.\nYou can work across data engineering, analytics, software, and engineering domains rather than treating them as separate disciplines.\nYou analyze complex datasets and translate findings into clear recommendations.\nYou understand how data quality, architecture, and system reliability affect the decisions people make from the data.\nYou identify problems, evaluate available information, and develop practical solutions.\nYou communicate technical findings clearly to engineering, operational, and business stakeholders.\nYou work effectively across Operations, Commissioning, Construction, and Engineering teams.\nYou remain flexible, proactive, resourceful, and efficient when requirements or priorities change.\nYou work effectively under pressure and maintain focus on reliable outcomes.\nYou share technical knowledge and contribute to the development of the broader team.\nWhat You'll Bring\nRequired Qualifications\nBachelor of Science or higher in Mechanical Engineering, Electrical Engineering, Computer Science, or an equivalent math-intensive discipline.\n2+ years of experience supporting critical infrastructure or data center operations.\n1+ years of experience in an engineering role.\n1+ years of experience in a data science, data analytics, or comparable analytical role.\nAdvanced understanding of electrical and mechanical systems used in data center environments, which may include electrical feeders, transformers, generators, switchgear, UPS systems, power systems, ATS/STS units, PDU units, air handling units, cooling towers, pumping systems, and fire suppression systems.\nAbility to interpret P&IDs, wiring diagrams, schematics, sequences of operation, submittals, and MEP drawing packages.\nStrong understanding of data analysis methodologies and statistical techniques.\nExperience with database management and data analysis tools.\nExperience using Python or another programming or cloud-computing language.\nExperience working with SQL and analytical data environments.\nAbility to analyze complex information and develop solutions to technical problems.\nAbility to translate analytical findings into recommendations for stakeholders and leadership.\nStrong Microsoft Outlook, Publisher, Word, Excel, and PowerPoint skills.\nPreferred Qualifications\nProfessional Engineer (PE) license.\nExperience developing scalable ETL/ELT pipelines and analytical data models.\nExperience with Starburst or comparable distributed SQL/query platforms.\nExperience developing data-driven web applications and API integrations.\nExperience supporting machine-learning or statistical modeling workflows.\nExperience developing generative AI applications, LLM-based workflows, or autonomous agents.\nExperience supporting infrastructure capacity, reliability, efficiency, condition-based maintenance, or lifecycle programs.\n\nWe recognize that qualified candidates may not meet every preferred qualification. If your experience aligns with the core responsibilities of the role, we encourage you to apply.\n\nWhy Switch?\n\nA Culture of Karma – We are self-motivated by karma, ensuring our actions contribute to a positive, supportive and forward-thinking environment.\n\nIndustry Leading Designs – Work with the most advanced data center technology on the planet and be a part of emerging technology development.\n\nFlexibility & Remote Opportunities – Whether in-office, hybrid, or fully remote, we offer the technology and support to keep teams connected and productive.\n\nCareer Stability & Growth – In this expanding industry, we invest in our people, providing opportunities & advancement in a stable, growing company.\n\nGenerous Benefits Package - Switch provides comprehensive coverage for you and your family that can be tailored to fit your personal needs, and more!\n\nJoin Us & Make a Difference\n\nThis is more than a job—it's a mission. If you're ready to be part of a culture that values innovation, karma, and limitless potential, we want to hear from you.\n\nApply Now and Let's Build the Future Together.\n\nApplicant and Candidate Privacy Notice\nYour privacy rights may vary by location. Learn more in our Switch Applicant and Candidate Privacy Notice https://www.switch.com/applicant-and-candidate-privacy/ to understand how Switch collects, uses, shares, and protects your personal information during the recruiting process.\n\nSafe Hiring Notice\nLegitimate Switch recruiting emails come from switch.com. Current opportunities are posted on https://switch.com/careers and the official Switch LinkedIn Company page https://www.linkedin.com/company/switch-data-centers/. Switch will never ask you to pay fees, purchase equipment, send money, cash a check, or transfer funds as part of recruiting. Personal information is collected only through approved Switch systems.\n\nIf you suspect recruiting fraud, stop communicating with the sender and review FTC guidance https://consumer.ftc.gov/articles/what-do-if-you-were-scammed.\n\nEqual Employment Opportunity\nSwitch is an Equal Opportunity Employer. We provide employment opportunities without discrimination or harassment based on any characteristic protected by applicable federal, state, or local law.\n\nAccommodations\nSwitch provides reasonable accommodations to qualified individuals with disabilities throughout the hiring process. If you need an accommodation, contact careers@switch.com.\n\nSwitch also considers qualified applicants with criminal histories in accordance with applicable law.\n\nRecruitment Agencies\nSwitch does not accept unsolicited resumes or candidate submissions from agencies without a current written agreement. Switch is not responsible for fees related to unsolicited submissions.","datePosted":"2026-10-19T12:22:07.410Z","dateModified":"2026-10-19T12:22:07.410Z","hiringOrganization":{"@type":"Organization","name":"Switch Data Centers","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d6c64a3c43e73b75f348b56a"},"url":"https://jobsearcher.com/jobs/d6c64a3c43e73b75f348b56a"}}