Digital Library Data Engineer

This is a fully benefited, full-time Harvard University position that has been funded through 6 / 30 / 25. There is the possibility of renewal, contingent on funding, university priorities and satisfactory job performance.

Harvard University Information Technology (HUIT) is a community of Information Technology professionals committed to delivering service and technological solutions in support of teaching, learning, research and administration. We are recruiting an IT workforce that has both breadth in their ability to collaborate and innovate across disciplines – and depth in specific areas of expertise. HUIT offers opportunities for IT professionals to learn and work in a unique technology landscape and service-focused environment. If you are a technically proficient, nimble, user-focused, and accountable IT professional who also connects with the importance of collaborating well in a team environment, we are looking for you!

The Library Technology Services (LTS) team at Harvard University is seeking an inquisitive and motivated Data Engineer to join our exciting project to build the university’s next generation Digital Preservation System. This role will be responsible for the design, development, and maintenance of data APIs, extract / load / transform (ETL) activities, helping to manage data migration from existing data endpoints to the new systems and defining data integration services for our application portfolio.

The Data Engineer will collaborate with cross-functional teams across all phases of Digital Preservation System project including requirements analysis, design, development, testing, deployment, and maintenance. Responsible for overall data management design and construction, ensuring optimization of data access, integration, and utilization. Manage interface and connectivity between multiple data storage sources using advanced database administration expertise.

Typical Core Duties :

• Lead aspects of data management services which may include database and analytics platform research and design, database performance and optimization, recovery / load strategy and implementation, and data modeling
• Collaborate;to prepare data verification and testing methods for data / applications loaded into the warehouse, or other data repositories, to ensure compatibility across different sourceswith business partners to determine needs and evaluate solutions
• Code, develop, and document complex scripts integration mappings and workflows, and stored procedures
• Provide technical expertise and direction in developing and supporting system level programs
• Troubleshoot advanced data problems and recommend appropriate action
• Create new or enhanced components of data architecture and interfaces
• Provide training to clients and staff
• May function as subject matter expert or project lead
• Actively contribute to formulation of plans and policies
• Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct