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Part Time Big Data Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer

Norfolk, VA · On-site

$55K - $126K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

$55K - $126K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

AI/ML Engineer

Norfolk, VA

$55K - $126K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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

As of Jun 20, 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:
Part Time Big Data jobs near you
Infographic showing various Part Time Big Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 50% Full Time, 47% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $118,445 per year, or $56.9 per hour.
Adjunct Associate Faculty, Fundamentals of Data Engineering (On-Campus, Fall '26)

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

Columbia University

New York, NY

$2.0K - $3.0K/wk

Part-time

Posted 24 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 to pursue greater human understanding, pioneering 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

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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