Adjunct Associate Faculty, Fundamentals of Data Engineering (On-Campus, Fall '26)
This adjunct role requires hands-on expertise in teaching foundational data engineering principles, including database systems, governance frameworks, and data quality practices to graduate students. Ideal candidates will bridge technical and organizational challenges while fostering collaboration between analytics and technology teams.
Skills required
About this role
Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Managing Data. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.
The Managing Data course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes and organizational prerequisites needed to overcome challenges to ensure data quality.
Responsibilities
Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
Evaluate, grade student work and assessments as requested by the course Lecturer.
Monitor and address student concerns and inquiries.
Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
Graduate degree in an area related to data science, statistics, computer science or another discipline that provided rigorous training in quantitative analytics.
Knowledge of databases, topics in Big Data, and Data Analysis.
Knowledge in SQL and NoSQL databases.
3+ years of related applied professional experience.
Preferred Skills & Experience
Knowledge of MapReduce, Spark strongly desired.
Other software or programming languages like R, Python, Tableau
Statistical and Machine learning knowledge.
University teaching experience.
Additional Information
Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
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