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Part Time Data Engineer Jobs in Newark, NJ (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

New York, NY · Remote

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Braze

Engineering Manager, Data Streaming

New York, NY · On-site

$160K - $282K/yr

Partner with SRE leadership to align platform reliability with SLOs, collaborate on proactive ... In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total ...

NEW YORK EDGE, INC

Data Entry Specialist

Brooklyn, NY · On-site

$20 - $25/hr

Schedule: * Part-Time * Up to 20 hours per week while school is in session * Up to 25 hours per ... programming through the use of Data Reporting. * Create systems which serve to keep track of all ...

NEW YORK EDGE, INC

Data Entry Specialist Bronx

Bronx, NY · On-site

$20 - $25/hr

Schedule: * Part-Time * Up to 20 hours per week while school is in session * Up to 25 hours per ... programming through the use of Data Reporting. * Create systems which serve to keep track of all ...

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Showing results 21-40

All JobsData Engineer JobsPart Time Data Engineer JobsPart Time Data Engineer Jobs in Newark, NJ

Part Time Data Engineer information

See Newark, NJ salary details

$46.5K

$135.5K

$185.4K

How much do part time data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for part time data engineer in Newark, NJ is $135,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 per year, depending on experience, location, and employer.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What are the key skills and qualifications needed to thrive as a part time data engineer?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible schedules are increasingly common in this field.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or database management that can be performed online. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or on-site access to certain tools or data.

What are the most commonly searched types of Data Engineer jobs in Newark, NJ?

The most popular types of Data Engineer jobs in Newark, NJ are:

What are popular job titles related to Part Time Data Engineer jobs in Newark, NJ?

For Part Time Data Engineer jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineer jobs in Newark, NJ look for?

The top searched job categories for Part Time Data Engineer jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Part Time Data Engineer jobs?

Cities near Newark, NJ with the most Part Time Data Engineer job openings:

Part Time Data Engineer jobs near you
Infographic showing various Part Time Data Engineer job openings in Newark, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $135,477 per year, or $65.1 per hour.

AI Data Science Expert - Remote

YO AI Labs

New York, NY • Remote

Part-time

Posted 24 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.