Yale University
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Salary Range
$68,000.00 - $120,500.00 Overview
Yale Universitys Cultural Heritage Collections and Scholarly Communication division is seeking a Data Engineer to ensure the quality, sustainability and effectiveness of cross?collection data transformation and enrichment pipelines, and to provide support and assistance in cultural knowledge management projects. This represents a unique opportunity to bring together data describing millions of objects, spanning modern books and medieval manuscripts, fossils and natural specimens, paintings and musical instruments in an innovative and collaborative environment. The role is essential to fulfilling our commitment to provide useful and usable linked open data to stakeholders, including faculty and researchers, the collecting units, and application developers within the institution and beyond. The successful candidate will engage with content and technical specialists across the Cultural Heritage/Information Technology (CHIT) landscape within the university, implement reliable data transformation workflows, and assist with data modeling of cultural knowledge. The position reports to the Senior Director for Digital Cultural Heritage, within the Office of the Vice?Provost, and will work collaboratively with the collecting units, central Information Technology Services (ITS), and a dedicated data scientist. Interpersonal and time?management skills are essential. This role can be fully remote for an experienced candidate. Applications submitted without a cover letter aligning the candidates experiences with the positions responsibilities will not be considered. Required Skills And Abilities Strength in Python, or demonstrated ability to translate experience from an equivalent language, is essential. Excellent verbal and written communication skills, including when interacting with non?technical audiences. Excellent personal time management skills, attention to detail, and quality of work. Ability to focus and drive data?oriented projects to completion. Project management, community management, and art/natural history experience are all pluses.
Preferred Skills And Abilities
Advanced degree (Masters/PhD) in Library/Information Science or related field Experience in developing knowledge management/semantic systems Familiarity with Linked Open Data (JSON?LD, SPARQL) Use of cultural heritage standards like MARC, EAD, CIDOC?CRM Experience with test?driven, agile development for data processing Interest in data science, ML, AI, and data techniques
Principal Responsibilities
Design, implement and document data transformation pipelines to migrate, reconcile and enrich knowledge from Yales museums, libraries and archives into Linked Open Usable Data (LOUD). Build test suites and data validation routines to deploy via continuous integration services to ensure the quality of the data transformation pipelines. Transform data sourced from outside of the collection systems to enrich and supplement Yales cultural heritage records. Work closely with software engineers in ITS to ensure the quality of integrated, downstream services, such as discovery portals. Collaborate with software engineers and content matter experts in the collecting units to assist with the quality and understanding of the incoming data.
Qualifications
Bachelors degree in a related field and at least 2 years of software development or data management experience, or combination of education and relevant experience.
Work Model
Remote Location
2 Whitney Avenue, New Haven, Connecticut Background Check Requirements
All candidates for employment will be subject to pre?employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website. Health Requirements
Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy. Posting Disclaimer
Salary offers are determined by a candidates qualifications, experience, skills, and education in relation to the position requirements, along with the roles grade profile and current internal and external market conditions. The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job?related duties through their hiring department. The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individuals sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran. Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA). Yale University is a tobacco?free campus. #J-18808-Ljbffr
$68,000.00 - $120,500.00 Overview
Yale Universitys Cultural Heritage Collections and Scholarly Communication division is seeking a Data Engineer to ensure the quality, sustainability and effectiveness of cross?collection data transformation and enrichment pipelines, and to provide support and assistance in cultural knowledge management projects. This represents a unique opportunity to bring together data describing millions of objects, spanning modern books and medieval manuscripts, fossils and natural specimens, paintings and musical instruments in an innovative and collaborative environment. The role is essential to fulfilling our commitment to provide useful and usable linked open data to stakeholders, including faculty and researchers, the collecting units, and application developers within the institution and beyond. The successful candidate will engage with content and technical specialists across the Cultural Heritage/Information Technology (CHIT) landscape within the university, implement reliable data transformation workflows, and assist with data modeling of cultural knowledge. The position reports to the Senior Director for Digital Cultural Heritage, within the Office of the Vice?Provost, and will work collaboratively with the collecting units, central Information Technology Services (ITS), and a dedicated data scientist. Interpersonal and time?management skills are essential. This role can be fully remote for an experienced candidate. Applications submitted without a cover letter aligning the candidates experiences with the positions responsibilities will not be considered. Required Skills And Abilities Strength in Python, or demonstrated ability to translate experience from an equivalent language, is essential. Excellent verbal and written communication skills, including when interacting with non?technical audiences. Excellent personal time management skills, attention to detail, and quality of work. Ability to focus and drive data?oriented projects to completion. Project management, community management, and art/natural history experience are all pluses.
Preferred Skills And Abilities
Advanced degree (Masters/PhD) in Library/Information Science or related field Experience in developing knowledge management/semantic systems Familiarity with Linked Open Data (JSON?LD, SPARQL) Use of cultural heritage standards like MARC, EAD, CIDOC?CRM Experience with test?driven, agile development for data processing Interest in data science, ML, AI, and data techniques
Principal Responsibilities
Design, implement and document data transformation pipelines to migrate, reconcile and enrich knowledge from Yales museums, libraries and archives into Linked Open Usable Data (LOUD). Build test suites and data validation routines to deploy via continuous integration services to ensure the quality of the data transformation pipelines. Transform data sourced from outside of the collection systems to enrich and supplement Yales cultural heritage records. Work closely with software engineers in ITS to ensure the quality of integrated, downstream services, such as discovery portals. Collaborate with software engineers and content matter experts in the collecting units to assist with the quality and understanding of the incoming data.
Qualifications
Bachelors degree in a related field and at least 2 years of software development or data management experience, or combination of education and relevant experience.
Work Model
Remote Location
2 Whitney Avenue, New Haven, Connecticut Background Check Requirements
All candidates for employment will be subject to pre?employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website. Health Requirements
Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy. Posting Disclaimer
Salary offers are determined by a candidates qualifications, experience, skills, and education in relation to the position requirements, along with the roles grade profile and current internal and external market conditions. The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job?related duties through their hiring department. The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individuals sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran. Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA). Yale University is a tobacco?free campus. #J-18808-Ljbffr