{"schemaVersion":"jobsearcher.job.v1","id":"b8e6ce19e4161ffa562811ec","url":"https://jobsearcher.com/jobs/b8e6ce19e4161ffa562811ec","canonicalUrl":"https://jobsearcher.com/jobs/b8e6ce19e4161ffa562811ec","title":"Lead Data Engineer","description":"Lead Data Engineer\nAPPLY\nLead Data Engineer\nProg Analyst Spec\nResearch Administration Information Services (RAIS)\n\nLead Data Engineer\nCornell University is one of the leading research universities in the world. Established in 1865 as an “institution where any person can find instruction in any study”, we pride ourselves on the diversity of our student body, our faculty and staff, and our academic disciplines. The Research Division at Cornell plays an important role in making our diverse and groundbreaking research programs come to life. We help our world class research community to find funding, navigate complex regulations, and bring new inventions to the market. Our Information Services team makes this possible by providing research management systems that are easy for the research community to use based on excellent user-experience research and design. They also build the data infrastructure necessary to bring together all of the data needed for reporting on the success of our research efforts.\n\nCornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.\n\nThe Information Services team is looking for talented and creative individuals to join us in our quest to make it easier for the Cornell research community to manage their research. We consider our environment to be its own research laboratory where team members are encouraged to voice new ideas and try new approaches. We’re early adopters in the use of new technologies that can help us to automate development and deployment of the application and data products we build or integrate with. There’s no doubt that you’ll be able to learn and grow as part of our team. We have opportunities for advancement in our group and within the university. The ability to take classes or pursue a degree through our employee degree program is also available and encouraged. Cornell benefits are hard to beat, including a contribution of 10% of your salary to your retirement plan pre-tax.\n\nThe Lead Data Engineer position is a senior member of the Information Services team, responsible for all of our technical decisions, including our technology stack and data architecture. The position reports to the Director of Information services and provides day-to-day technical leadership for the data team.\n\nWhat You Will Do:\nDesign and maintain our data infrastructure that gets data to and from the data products we create and the applications and data sources we integrate with\nReview our tool chain to make sure we’re using the best apps and practices\nHelp build and lead our data team; implement procedures and work instructions\nWork on new data projects - help the project and product management teams understand what’s possible and figure out the best way to deliver; break down tasks for the data team\nWrite code, e.g. Python for data, Terraform for DevOps\nPrioritize the development backlog with the product team - tell them when you need time to refactor or prioritize “technical debt” items that pose a risk\nInfrastructure design, automation, and maintenance in cloud and on-premises hosting environments (current setup - Terraform: Infrastructure-as-code, CodeBuild: Build tools, Docker/ECS/ECR: containerization, Fargate: Serverless tasks, CloudWatch/Prometheus: Monitor/Log/Trigger, S3/RDS: Storage).\nTroubleshoot potential data issues reported with production reporting systems and integrations\nCreate and test data visualizations to aid understanding of research administration data\n\nWhat You Will Need:\n5 or more years working in a data analyst, data engineer, or other data science role\nBachelor’s degree or higher\nAdvanced knowledge of SQL\nExperience with Python data science ecosystem (Pandas, Jupyter Notebooks, etc.)\nExperience with DevOps, specifically AWS, Terraform, and Docker\nThorough understanding of relational database systems and design\nThorough understanding of non-traditional/NoSQL data formats and how to work with them (json, xml, csv)\nThorough understanding of popular data warehouse data structures (e.g., star, snowflake)\nAbility to use tools to introspect data sources to understand cardinality, relationships, data quality or potential issues\nMeticulous attention to detail and documentation habits\nExcellent communication and organization skills\nGood team player with an ability to work in a cross-functional team environment\nWhat We Prefer:\nBachelor’s degree or higher with a concentration in a quantitative field such as finance, quantitative marketing, engineering, mathematics/statistics\nExperience with Tableau\nExperience with Salesforce\nUnderstanding of finance and accounting concepts and data\nWhat we offer:\nThe opportunity to work with a dynamic group of people in a stable organization where employee development is promoted.\nA broad set of competitive benefits under the Cornell Endowed program, including educational opportunities, access to virtual wellness programs, health care options, 3 weeks of paid vacation, 13 paid holidays, and superior retirement contributions. https://hr.cornell.edu/benefits-pay\nThe potential to work in Ithaca (with affordable housing and highly ranked public schools).\nThe position will allow for the flexibility to work a hybrid schedule for those applicants who live within a commutable distance and are willing to come to Ithaca frequently.\nThe New York Convenience of Employer guidelines require New York State individual tax reporting and withholdings for this position. Additional individual state income tax filings may also be required if working temporarily outside New York State.\nFor full consideration, please attach a cover letter and resume with your application.\nVisa sponsorship not available for this position.\n\nFamiliarize yourself with Cornell's COVID-19 workplace guidance as well as the university's COVID-19 services and information.\n\nUniversity Job Title:\nProg Analyst Spec\nJob Family:\nInformation Technology\nLevel:\nG\nPay Rate Type:\nSalary\nPay Range:\n$108,296.00 - $132,362.00\nRemote Option Availability:\nHybrid\nCompany:\nEndowed\nContact Name:\nKristie Devine\nJob Titles and Pay Ranges:\nNon-Union Positions\nNoted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria:\nPrior relevant work or industry experience\nEducation level to the extent education is relevant to the position\nUnique applicable skills\nAcademic Discipline (faculty pay ranges reflects 9-month annual salary)\nTo learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator.\nUnion Positions\nThe hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell’s union wages, see Union Pay Rates.\nCurrent Employees:\nIf you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell.\nOnline Submission Guidelines:\nMost positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website.\n\nEmployment Assistance:\nFor general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu.\n\nIf you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Office of Institutional Equity and Title IX at voice (607) 255-2242, or email at equity@cornell.edu.\n\nApplicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu.\nNotice to Applicants:\nPlease read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.\nEEO Statement:\nDiversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.\nCornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.\n2024-08-15","company":"Cornell University","rawCompany":"cornell university","city":"Ithaca","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:39:51.379Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer","description":"Lead Data Engineer\nAPPLY\nLead Data Engineer\nProg Analyst Spec\nResearch Administration Information Services (RAIS)\n\nLead Data Engineer\nCornell University is one of the leading research universities in the world. Established in 1865 as an “institution where any person can find instruction in any study”, we pride ourselves on the diversity of our student body, our faculty and staff, and our academic disciplines. The Research Division at Cornell plays an important role in making our diverse and groundbreaking research programs come to life. We help our world class research community to find funding, navigate complex regulations, and bring new inventions to the market. Our Information Services team makes this possible by providing research management systems that are easy for the research community to use based on excellent user-experience research and design. They also build the data infrastructure necessary to bring together all of the data needed for reporting on the success of our research efforts.\n\nCornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.\n\nThe Information Services team is looking for talented and creative individuals to join us in our quest to make it easier for the Cornell research community to manage their research. We consider our environment to be its own research laboratory where team members are encouraged to voice new ideas and try new approaches. We’re early adopters in the use of new technologies that can help us to automate development and deployment of the application and data products we build or integrate with. There’s no doubt that you’ll be able to learn and grow as part of our team. We have opportunities for advancement in our group and within the university. The ability to take classes or pursue a degree through our employee degree program is also available and encouraged. Cornell benefits are hard to beat, including a contribution of 10% of your salary to your retirement plan pre-tax.\n\nThe Lead Data Engineer position is a senior member of the Information Services team, responsible for all of our technical decisions, including our technology stack and data architecture. The position reports to the Director of Information services and provides day-to-day technical leadership for the data team.\n\nWhat You Will Do:\nDesign and maintain our data infrastructure that gets data to and from the data products we create and the applications and data sources we integrate with\nReview our tool chain to make sure we’re using the best apps and practices\nHelp build and lead our data team; implement procedures and work instructions\nWork on new data projects - help the project and product management teams understand what’s possible and figure out the best way to deliver; break down tasks for the data team\nWrite code, e.g. Python for data, Terraform for DevOps\nPrioritize the development backlog with the product team - tell them when you need time to refactor or prioritize “technical debt” items that pose a risk\nInfrastructure design, automation, and maintenance in cloud and on-premises hosting environments (current setup - Terraform: Infrastructure-as-code, CodeBuild: Build tools, Docker/ECS/ECR: containerization, Fargate: Serverless tasks, CloudWatch/Prometheus: Monitor/Log/Trigger, S3/RDS: Storage).\nTroubleshoot potential data issues reported with production reporting systems and integrations\nCreate and test data visualizations to aid understanding of research administration data\n\nWhat You Will Need:\n5 or more years working in a data analyst, data engineer, or other data science role\nBachelor’s degree or higher\nAdvanced knowledge of SQL\nExperience with Python data science ecosystem (Pandas, Jupyter Notebooks, etc.)\nExperience with DevOps, specifically AWS, Terraform, and Docker\nThorough understanding of relational database systems and design\nThorough understanding of non-traditional/NoSQL data formats and how to work with them (json, xml, csv)\nThorough understanding of popular data warehouse data structures (e.g., star, snowflake)\nAbility to use tools to introspect data sources to understand cardinality, relationships, data quality or potential issues\nMeticulous attention to detail and documentation habits\nExcellent communication and organization skills\nGood team player with an ability to work in a cross-functional team environment\nWhat We Prefer:\nBachelor’s degree or higher with a concentration in a quantitative field such as finance, quantitative marketing, engineering, mathematics/statistics\nExperience with Tableau\nExperience with Salesforce\nUnderstanding of finance and accounting concepts and data\nWhat we offer:\nThe opportunity to work with a dynamic group of people in a stable organization where employee development is promoted.\nA broad set of competitive benefits under the Cornell Endowed program, including educational opportunities, access to virtual wellness programs, health care options, 3 weeks of paid vacation, 13 paid holidays, and superior retirement contributions. https://hr.cornell.edu/benefits-pay\nThe potential to work in Ithaca (with affordable housing and highly ranked public schools).\nThe position will allow for the flexibility to work a hybrid schedule for those applicants who live within a commutable distance and are willing to come to Ithaca frequently.\nThe New York Convenience of Employer guidelines require New York State individual tax reporting and withholdings for this position. Additional individual state income tax filings may also be required if working temporarily outside New York State.\nFor full consideration, please attach a cover letter and resume with your application.\nVisa sponsorship not available for this position.\n\nFamiliarize yourself with Cornell's COVID-19 workplace guidance as well as the university's COVID-19 services and information.\n\nUniversity Job Title:\nProg Analyst Spec\nJob Family:\nInformation Technology\nLevel:\nG\nPay Rate Type:\nSalary\nPay Range:\n$108,296.00 - $132,362.00\nRemote Option Availability:\nHybrid\nCompany:\nEndowed\nContact Name:\nKristie Devine\nJob Titles and Pay Ranges:\nNon-Union Positions\nNoted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria:\nPrior relevant work or industry experience\nEducation level to the extent education is relevant to the position\nUnique applicable skills\nAcademic Discipline (faculty pay ranges reflects 9-month annual salary)\nTo learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator.\nUnion Positions\nThe hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell’s union wages, see Union Pay Rates.\nCurrent Employees:\nIf you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell.\nOnline Submission Guidelines:\nMost positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website.\n\nEmployment Assistance:\nFor general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu.\n\nIf you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Office of Institutional Equity and Title IX at voice (607) 255-2242, or email at equity@cornell.edu.\n\nApplicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu.\nNotice to Applicants:\nPlease read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.\nEEO Statement:\nDiversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.\nCornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.\n2024-08-15","datePosted":"2026-04-12T20:39:51.379Z","dateModified":"2026-04-12T20:39:51.379Z","hiringOrganization":{"@type":"Organization","name":"Cornell University","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ithaca","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b8e6ce19e4161ffa562811ec"},"url":"https://jobsearcher.com/jobs/b8e6ce19e4161ffa562811ec"}}