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

New York, NY, United States

Pay
$11,000–13,000per semester long — pay source
Additional Information Salary range: $11,000 - $13,000 per semester long course Please submit a resume inclusive of university teaching experience.
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Work setup
Unconfirmed
Employment
Unconfirmed
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What you’ll work on

Full posting
  • Lead class lectures, instructional activities, and classroom discussion.

  • Monitor and address student concerns and inquiries.

  • Evaluate, grade student work and assessments.

From the employer’s posting
Responsibilities Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions. Monitor and address student concerns and inquiries.
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.
Monitor and address student concerns and inquiries. Evaluate, grade student work and assessments. Conduct office hours.

What you’ll bring

All qualifications

Core experience

  • Knowledge of databases, topics in Big Data, and Data Analysis.
  • Knowledge of MapReduce strongly desired.
  • Knowledge of SQL and NoSQL databases.
  • Knowledge of Python and Spark.
  • 10+ years of related applied professional experience.
Qualification wording
Knowledge of databases, topics in Big Data, and Data Analysis.
Knowledge of MapReduce strongly desired.
Knowledge of SQL and NoSQL databases.
Knowledge of Python and Spark.
10+ years of related applied professional experience.

Tools in this posting

  • Python
  • R
  • SQL
  • NoSQL
  • Spark
  • Tableau
Source — Tool mentions in context
- Knowledge of SQL and NoSQL databases. - Knowledge of Python and Spark. - 10+ years of related applied professional experience.
- Knowledge of MapReduce strongly desired. - Other software or programming languages like R and Tableau. - Statistical and Machine learning knowledge.
- Knowledge of databases, topics in Big Data, and Data Analysis. - Knowledge of SQL and NoSQL databases. - Knowledge of Python and Spark.

Job description

View original posting ↗

Job Description

Columbia University’s Master's in Applied Analytics program seeks experienced industry professionals to serve as a part-time Lecturer for a graduate-level course in Managing Data. 

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.

    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

    • 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.

    Additional Information

    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

    Company Description

    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.

    Your next step

    • Have your CV and examples of relevant work ready.
    • Check the listed location, eligibility and core experience before starting.

    Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

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    Source & posting history

    View original posting ↗

    Source notes

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    Pay
    Additional Information Salary range: $11,000 - $13,000 per semester long course Please submit a resume inclusive of university teaching experience.
    Location & working pattern

    New York, NY, United States

    Working pattern and location restrictions need checking in the full posting.

    Work authorization

    No clear work-authorization passage found. Eligibility is unconfirmed.

    Status in our records
    Active
    First seen by us
    Jun 3, 2026
    Recorded sightings
    98
    Last seen by us
    Oct 8, 2026
    Employer says posted
    Feb 27, 2026

    These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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