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

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 ...

Fora

Engineering Manager

New York, NY · On-site

We're modernizing the $100B+ travel agency industry by combining powerful technology, data, and ... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ...

Fora

Engineering Manager, Platform

New York, NY · On-site

We're modernizing the $100B+ travel agency industry by combining powerful technology, data, and ... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ...

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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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in New York

Part Time Data Engineering information

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 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 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.

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 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:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in New York as of July 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution.
Tax, Business and Data Intelligence, Analyst, Jersey City

Tax, Business and Data Intelligence, Analyst, Jersey City

Goldman Sachs, Inc.

Jersey City, NJ • On-site

Full-time, Part-time

Posted 6 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description


Tax Data Governance
Tax analyzes and supports the activities, operations, reporting obligations and transactions of the firm's business lines. We're a team of specialists charged with managing the firm's worldwide taxes. We are responsible for tax compliance, financial reporting of taxes, tax planning, business advisory and management of taxing authority examinations. Our work contributes directly to the firm's success, and the division is ideal for creative and collaborative individuals who have strong ethics and attention to detail.
Job Overview
We are seeking a talented business and data intelligence professional to assist with design and implementation of Tax datasets within the Tax division. As a data analyst and modeler, you will be working closely with our tax compliance and reporting teams and data engineers to implement and create canonical and Global Tax data models in order to streamline and support Global Tax level data management.
You will also be facilitating divisional adoption of the firm's Data Governance Framework which will enable the business to operate efficiently. Your responsibilities will include
  • Analyzing and translating business requirements into long term solution data models
  • Evaluating existing data systems to create a Global Tax data model for Tax division
  • Applying the data governance framework to ensure the design and implementation of business and technical rules produce the highest data quality with a trustworthy data pipeline to facilitate complex tax calculations and tax reporting obligations.
  • Working closely with business partners and technology leaders to evaluate the key areas of data quality improvement
  • Building automation and workflows to uplift data control gaps
  • Implementing data strategies and converting logical models into physical data models
  • Facilitating and arbitrating the data quality issue resolution cross business and technology stakeholders including external vendors
  • Working with data and analytics experts to strive for greater functionality in our data systems
  • Working with Tax engineers with development, testing and production

SKILLS AND QUALIFICATIONS
  • Bachelor's degree in engineering, Computer Science or related disciplines
  • 0-3 years of experience
  • Hands-on experience with one or more mainstream programming languages (Python, Java, C, Scala, C++, etc.).
  • Proficiency with Microsoft Excel and SQL
  • Experience in a visualization tool such as Tableau preferred
  • Experience dealing with data (structured or unstructured) preferred
  • Excellent communication skills and ability to work with various stakeholders
  • Willingness to work in a fast paced environment
  • Interest in applying technical knowledge to Financial Services industry
  • Strong sense of ownership and driven to manage tasks to completion

PREFERRED QUALIFICATIONS
  • Experience in working with databases (Oracle, Sybase IQ, Snowflake, Hadoop etc.)
  • Experience with Alteryx

Salary Range
The expected base salary for this Jersey City, New Jersey, United States-based position is $75000-$100000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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