ZipRecruiter

Log In

2

Part Time Big Data Jobs (NOW HIRING)

5 Corners Auto Group

Part-Time Receptionist

Cedarburg, WI · On-site

$14 - $15/hr

Perform clerical duties such as typing, proofreading, data entry, filing, photocopying, faxing and ... No truck is too big for our Alignment Equipment! We also have a 60 ton Kingpin press for Medium ...

previous page

Showing results 41-60

All Jobspart time JobsTechnology JobsPart Time Big Data Jobs

Part Time Big Data information

See salary details

$14

$56

$97

How much do part time big data jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for part time big data in the United States is $56.94, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $71.39 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Big Data jobs?

The most popular types of Big Data jobs are:

What states have the most Part Time Big Data jobs?

States with the most job openings for Part Time Big Data jobs include:

What job categories do people searching Part Time Big Data jobs look for?

The top searched job categories for Part Time Big Data jobs are:

Part Time Big Data jobs near you
Infographic showing various Part Time Big Data job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $118,445 per year, or $56.9 per hour.

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

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Re-posted 15 days ago

Job description

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.
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

Apply