Overview
Remote
USD 68,000.00 - 120,500.00 per year
Full Time
Skills
Collections
Sustainability
Workflow
Data Modeling
Information Technology
Python
Communication
Management
Attention To Detail
FOCUS
Project Management
Community Management
Art
NATURAL
Science
Knowledge Management
Semantics
Linked Data
JSON
SPARQL
Customer Relationship Management (CRM)
Agile
Data Processing
Data Science
Machine Learning (ML)
Artificial Intelligence
Test Suites
Data Validation
Continuous Integration and Development
Continuous Integration
Software Development
Data Management
Screening
Testing
Recruiting
Law
Accessibility
Job Details
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!
Salary Range
$68,000.00 - $120,500.00
Overview
Yale University's 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 help 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. This 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. We are seeking someone with an engineering mindset, an understanding of both the technologies and the cultural heritage domain, and a strong interest in data science and machine learning techniques.
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. With the role's central and collaborative nature, 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 candidate's experiences with the position's 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
Principal Responsibilities
1. Design, implement and document data transformation pipelines to migrate, reconcile and enrich knowledge from Yale's museums, libraries and archives into Linked Open Usable Data (LOUD)
2. Build test suites and data validation routines to deploy via continuous integration services to ensure the quality of the data transformation pipelines.
3. Transform data sourced from outside of the collection systems to enrich and supplement Yale's cultural heritage records.
4. Work closely with software engineers in ITS to ensure the quality of integrated, downstream services, such as discovery portals.
5. Work closely with software engineers and content matter experts in the collecting units to assist with the quality and understanding of the incoming data.
Required Education and Experience
Bachelor's degree in a related field and at least 2 years of software development or data management experience, or combination of education and relevant experience
Job Posting Date
10/13/2025
Job Category
Professional
Bargaining Unit
NON
Compensation Grade
Administration & Operations
Compensation Grade Profile
Manager; Program Leader (P5)
Time Type
Full time
Duration Type
Staff
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 candidate's qualifications, experience, skills, and education in relation to the position requirements, along with the role's 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 individual's 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).
Note
Yale University is a tobacco-free campus.
Salary Range
$68,000.00 - $120,500.00
Overview
Yale University's 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 help 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. This 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. We are seeking someone with an engineering mindset, an understanding of both the technologies and the cultural heritage domain, and a strong interest in data science and machine learning techniques.
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. With the role's central and collaborative nature, 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 candidate's experiences with the position's 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, CIDOC-CRM
- Experience with test-driven, agile development for data processing
- Interest in data science, ML, AI, and data techniques
Principal Responsibilities
1. Design, implement and document data transformation pipelines to migrate, reconcile and enrich knowledge from Yale's museums, libraries and archives into Linked Open Usable Data (LOUD)
2. Build test suites and data validation routines to deploy via continuous integration services to ensure the quality of the data transformation pipelines.
3. Transform data sourced from outside of the collection systems to enrich and supplement Yale's cultural heritage records.
4. Work closely with software engineers in ITS to ensure the quality of integrated, downstream services, such as discovery portals.
5. Work closely with software engineers and content matter experts in the collecting units to assist with the quality and understanding of the incoming data.
Required Education and Experience
Bachelor's degree in a related field and at least 2 years of software development or data management experience, or combination of education and relevant experience
Job Posting Date
10/13/2025
Job Category
Professional
Bargaining Unit
NON
Compensation Grade
Administration & Operations
Compensation Grade Profile
Manager; Program Leader (P5)
Time Type
Full time
Duration Type
Staff
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 candidate's qualifications, experience, skills, and education in relation to the position requirements, along with the role's 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 individual's 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).
Note
Yale University is a tobacco-free campus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.