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Part Time Data Engineering Jobs in New York (NOW HIRING)

Freelance/Part-time Content Developer

Montebello, NY · On-site

$125K - $130K/yr

We are looking for a talented Freelance/Part-time Content Developer to join our Marketing team. The ... Conduct research to gather insights and data to support content development and ensure accuracy and ...

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Part Time Data Engineering information

What is a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What are the most commonly searched types of Data Engineering jobs in New York?

The most popular types of Data Engineering jobs in New York are:

What are popular job titles related to Part Time Data Engineering jobs in New York?

For Part Time Data Engineering jobs in New York, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in New York look for?

The top searched job categories for Part Time Data Engineering jobs in New York are:

What cities in New York are hiring for Part Time Data Engineering jobs?

Cities in New York with the most Part Time Data Engineering job openings:

Infographic showing various Part Time Data Engineering job openings in New York as of August 2026, with employment types broken down into 100% Part Time. Highlights an 74% In-person, and 26% Remote job distribution.

Research Scholar (Part -time)

New York University

New York, NY • On-site

$40/hr

Full-time, Part-time

Re-posted 2 days ago


New York University rating

8.5

Company rating: 8.5 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

82nd of 629 rated colleges and universities


Job description

Description
PART TIME RESEARCH SCHOLAR
New York University Tandon School of Engineering
The Finance and Risk Engineering Department at NYU Tandon School of Engineering is seeking to hire a Part Time Research Scholar to work with Professor Renyuan Xu.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Finance and Risk Engineering Department furnishes students with foundational knowledge in financial concepts to engineer the future of finance and transform financial theory into practice.
Expectations
Candidates will work with Dr. Xu's group in conducting research in the area of mathematical foundations of generative AI and applications in finance. The successful candidate will have a demonstrated background in stochastic analysis and machine learning theory as exemplified by a strong publication record. Previous experience in financial data analysis is desired but not required.
Salary range
In compliance with NYC's Pay Transparency Act, the annual base salary for this position is $40 per hour depending on the candidate's experience and qualification.
Expected start date and period of employment
Expected start date is: February 1st. This position is expected to be for 3 months. Part time appointments would require a work schedule of approximately 20 hours per week
Qualifications
Candidates should have at least a BS or MS in applied mathematics or a related field. Candidates will be required to present eligibility to work in the United States.
Application Instructions
Applicants should submit the following information:
• cover letter
• up-to-date CV that includes a complete list of publications,
• research statement (up to 3 pages)
• names and contact information for three references.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831