JobCubby JobCubby
Sign up
Boston University

Senior Data Engineer AI, Automation, & Data Engineering

Boston University Boston, Massachusetts, United States · $120K–$150K/yr

Higher Education · 51-200 employees

4 d ago
data-engineer Senior (5-10 yrs) Full-time United States
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

The Senior Data Engineer will design and maintain large-scale data pipelines and ETL processes using modern cloud technologies. They will also lead the development of analytical data models and implement data governance and quality standards across the university's ecosystem.

What they look for

Data engineering ETL Cloud technologies Data modeling CI/CD Data governance SQL Java C# .NET API management REST SOAP iPaaS Data pipelines Containerization

Requirements

Candidates must have a bachelor's degree in a related field and at least 5 years of relevant experience. Proficiency in data integration tools, cloud architecture, and programming languages such as SQL, Java, or C# is required.

Benefits

Paid time off Paid intersession break 13 paid holidays University-funded retirement plan Tuition assistance program Wellness resources

Full description

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.

 

You Will:

  • 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.

Similar roles