Senior Data Engineer AI, Automation, & Data Engineering
About The Position
Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experience to join our innovative and inclusive community. Join us as a Senior Data Engineer, where you will design and scale modern data pipelines and platforms that advance Boston University's data and analytics capabilities. In this role, you'll help support institutional reporting, research, and strategic decision-making through reliable, high-quality data solutions. You will also build robust ETL workflows, optimize data performance, and strengthen data governance across the University's technology ecosystem. As part of the Data Engineering team, you will report to the Director of Data Engineering and work closely with architects, analysts, and developers in a hybrid environment based in Boston, MA.
Requirements
- Bachelor's Degree in Computer Science, Information Systems, or another related field or applicable experience in lieu of degree.
- 5+ years of relevant experience.
- Knowledge of data and application integration tools such as SnapLogic, Informatica, Webmethods, Mulesoft, or Dell Boomi.
- Knowledge of integration concepts such as EAI, SOA, ESB, Web Services, Messaging Services, and API Lead Management.
- Experience using technologies like SOAP, REST, Message Queues.
- Familiarity with hybrid (cloud/on premise) integration architecture patterns.
- Familiarity with architecture frameworks such as TOGAF, Zachman, and FEA.
- Familiarity with fundamental programming concepts, frameworks, languages and technologies such as SQL, C#, .NET, Java, XML, and JSON.
- Familiarity of Cloud Computing fundamentals; specifically, iPaaS, IaaS, SaaS, PaaS.
- Experience working on multiple, complex projects as a project leader and a subject matter expert.
- Experience collaborating with business and peers on requirements, design, security, infrastructure, networking, QA, etc. topics.
Responsibilities
- Design, build, and maintain large-scale data pipelines and ETL processes using modern cloud technologies.
- Lead the development and optimization of analytical data models to support reporting and analytics.
- Manage infrastructure deployments, containerized workloads, and CI/CD practices.
- Implement data quality, testing, observability, and governance standards across the data platform.
- Collaborate with stakeholders and mentor team members to advance data strategy and engineering best practices.
Benefits
- PTO
- leave policy
- paid intersession break
- 13 paid holidays
- University-funded retirement plan with full vesting after 2 years of eligible service
- Competitive tuition assistance program for yourself and family members
- lunch and learn sessions
- extensive library of online courses
- opportunities to engage with peers at NERCOMP and EDUCAUSE events
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What This Job Offers
Job Type
Full-time
Career Level
Senior
