Adjunct Instructor in Data Engineering and Cloud Pipelines

Brandeis University•Waltham, MA

2d•$6,573•Remote

About The Position

Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 115 Data Engineering and Cloud Pipelines for the Fall 1 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics. This course will explore concepts of data architecture, ETL/ELT design, and streaming analytics. Includes modules on sustainable data centers and carbon-efficient computation.

Requirements

Advanced degree (Masters or Ph.D) in Computer Science, Data Science, Information Systems, Software Engineering, or related field
Industry Experience: Building or Managing Cloud Data Platforms.
Experience in Data Engineering and Cloud-Based Data Pipelines, including data architecture and data reliability.
At least 1 year of teaching or training experience (preferably online/asynchronous)
Experience with online instruction
Excellent communication and teaching skills in an online learning environment.

Nice To Haves

Prior online teaching experience at the graduate level
Knowledge of global learner personas and culturally responsive pedagogy
Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Responsibilities

Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.