Adjunct Lecturer, Fundamentals of Data Engineering (On-Campus, Fall '26)

Columbia University; New York (NY); On-site; USD 122,760 - 145,080; Part time

Job summary

Columbia University is seeking an Adjunct Lecturer for the Fundamentals of Data Engineering course. This part-time role involves leading lectures, evaluating student work, and providing support to students. Applicants should possess a doctoral degree related to data science or analytics and at least 10 years of professional experience.

The position offers a salary range of $11,000 - $13,000 per semester for the course. Ideal candidates will have knowledge in databases, SQL, Python, and experience in university teaching.

Qualifications

• 10+ years of related applied professional experience.
• University teaching experience preferred.

Responsibilities

• Lead class lectures, instructional activities, and classroom discussion.
• Monitor and address student concerns and inquiries.
• Evaluate, grade student work and assessments.
• Conduct office hours.

Skills

Knowledge of databases, topics in Big Data, and Data Analysis

Knowledge of SQL and NoSQL databases

Knowledge of Python and Spark

Statistical and Machine learning knowledge

Education

Doctoral degree or equivalent in a related field

Tools

MapReduce

R

Tableau

Job description

Adjunct Lecturer, Fundamentals of Data Engineering (On-Campus, Fall '26)

• Part-time
• Employee Job Category: Faculty Job
• Term: 2026 FALL
• Department: Applied Analytics
• Division: Masters
• Program: Applied Analytics
• Academic Program: APAN

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

The Fundamentals of Data Engineering 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

Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions.

Monitor and address student concerns and inquiries.

Evaluate, grade student work and assessments.

Conduct office hours.

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

Doctoral degree or equivalent required, 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 of SQL and NoSQL databases.

Knowledge of Python and Spark.

10+ years of related applied professional experience.

Preferred Skills & Experience

Knowledge of MapReduce strongly desired.

Other software or programming languages like R and Tableau.

Statistical and Machine learning knowledge.

University teaching experience.

Salary range: $11,000 - $13,000 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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