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Part Time Integration Software Engineer Jobs in Princeton, NJ

Varsity Tutors

Software Tutor

Trenton, NJ · Remote

$18 - $40/hr

Ability to explain agile and waterfall methodologies, design patterns, object-oriented principles, and continuous integration while preparing students for software engineering roles and computer ...

Varsity Tutors

Software Tutor

New Brunswick, NJ · Remote

$18 - $40/hr

Ability to explain agile and waterfall methodologies, design patterns, object-oriented principles, and continuous integration while preparing students for software engineering roles and computer ...

Varsity Tutors

Software Tutor

Westfield, NJ · Remote

$18 - $40/hr

Ability to explain agile and waterfall methodologies, design patterns, object-oriented principles, and continuous integration while preparing students for software engineering roles and computer ...

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site

$62K - $83K/yr

Evaluate, scope, and integrate new data sources as they're identified. * Partner Across Pillars ... option for part-time work. This job ad is for New York, NY. While this is a remote-first ...

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

This is a Full-Time Role (40 hours per week, 5 days per week) with no option for part-time work ... Evaluate, scope, and integrate new data sources as they're identified. * Partner Across Pillars:

Fora

Senior/Staff Full Stack Engineer

New York, NY · On-site

$185K - $235K/yr

... or part-time. The same idea shapes how we work. We're mission-driven and obsessed with our ... external integrations. Our ideal candidate is someone who understands our mission & brand, is ...

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Showing results 21-40

All JobsIntegration Software Engineer JobsPart Time Integration Software Engineer JobsPart Time Integration Software Engineer Jobs in Princeton, NJ

Part Time Integration Software Engineer information

See Princeton, NJ salary details

$46.6K

$130.3K

$181.9K

How much do part time integration software engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for part time integration software engineer in Princeton, NJ is $130,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $146,800.00 per year, depending on experience, location, and employer.

What does a part time integration software engineer do?

A Part Time Integration Software Engineer is responsible for connecting different software systems so they can work together smoothly, often on a limited-hour schedule. Their work includes designing, developing, and testing integration solutions such as APIs, middleware, or data pipelines. They often collaborate with full-time engineers to support ongoing projects, troubleshoot integration issues, and ensure data flows efficiently between systems. This role is ideal for those seeking flexible work hours while still contributing technical expertise to complex software environments.

What are the typical collaboration processes for a part time integration software engineer with full-time team members?

Part Time Integration Software Engineers often work closely with full-time developers, QA analysts, and project managers to implement and maintain system integrations. Collaboration usually occurs through scheduled meetings, shared documentation, and communication platforms like Slack or Microsoft Teams to ensure alignment despite limited hours. It's common to have well-defined tasks and clear handoff procedures to maintain project continuity. Flexibility, proactive communication, and effective use of project management tools are essential for successful teamwork in this hybrid environment.

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

To thrive as a Part Time Integration Software Engineer, you need a solid understanding of software development, API integration, and data exchange protocols, usually backed by a relevant degree or equivalent experience. Familiarity with integration platforms (such as MuleSoft or Dell Boomi), programming languages (like Python or Java), and tools like REST/SOAP APIs is commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills in this role. These abilities ensure seamless and reliable system integrations, enabling organizations to efficiently connect and automate their technology ecosystem.

What is the difference between Part Time Integration Software Engineer vs Part Time Software Developer?

AspectPart Time Integration Software EngineerPart Time Software Developer
Primary FocusIntegrating software systems and APIsDeveloping and coding new software applications
Required SkillsAPI integration, scripting, troubleshootingProgramming languages, software design, coding
Work EnvironmentCollaborative, client-facing, cross-platformDevelopment teams, in-house or remote
Common CertificationsNone specific, often familiarity with APIs and scriptingProgramming certifications, such as Java, Python

While both roles involve software development, the Part Time Integration Software Engineer primarily focuses on connecting different software systems and ensuring seamless data flow, whereas the Part Time Software Developer concentrates on creating and coding new applications. The integration engineer often works closely with APIs and system configurations, making their skill set more specialized in system interoperability.

What are the most commonly searched types of Integration Software Engineer jobs in Princeton, NJ?

The most popular types of Integration Software Engineer jobs in Princeton, NJ are:

Part Time Integration Software Engineer jobs near you
Infographic showing various Part Time Integration Software Engineer job openings in Princeton, NJ as of August 2026, with employment types broken down into 3% Internship, 49% Full Time, 45% Part Time, and 3% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $130,273 per year, or $62.6 per hour.

GBM - Quantitative Dev/Strat - Systematic Rates Trading, New York

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Re-posted 14 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description


Quant Dev/Strat - Systematic Rates Trading
Desk Overview
The Systematic Rates Trading desk sits at the intersection of quantitative research, technology, and market-making execution. The team is responsible for overseeing the systematic trading, pricing, and risk management frameworks for global Rates products (including government bonds, interest rate swaps, and futures). We design, build, and manage real-time pricing engines, algorithmic hedging systems, and execution platforms that operate at scale in highly liquid and volatile markets.
Role Description
This is a high-impact, front-office seat designed for a strong Quantitative Developer / Strat who is a self-driven, highly motivated independent thinker. In this role, you will not just implement pre-defined models; you will actively drive the end-to-end development of trading algorithms, market-making logic, and portfolio optimization tools.
We are looking for an individual who takes a high amount of ownership over their work, from initial exploratory data analysis to production-grade deployment. You will collaborate closely with traders and quantitative researchers to optimize execution, analyze market microstructure, and build robust, high-performance systems where code quality directly impacts desk P&L.
Responsibilities
  • Algorithm Development: Design, develop, and optimize systematic trading algorithms, market-making logic, and real-time algorithmic hedging systems.
  • Exploratory Data Analysis (EDA): Conduct rigorous data analysis on massive, high-frequency market datasets to identify pricing anomalies, refine trading signals, and improve execution strategies.
  • Market Microstructure & TCA: Analyze Rates market microstructure and build sophisticated Transaction Cost Analysis (TCA) frameworks to minimize slippage, model market impact, and optimize execution performance.
  • Portfolio Optimization: Implement and refine mathematical models for portfolio optimization, risk allocation, and real-time risk management.
  • System Architecture & Performance: Design and maintain the high-performance, low-latency trading infrastructure and data pipelines powering the systematic Rates business.
  • End-to-End Ownership: Proactively identify technical bottlenecks, propose architectural improvements, and take full responsibility for the reliability and scalability of the trading stack.

Who We Look For
We are seeking an exceptional software engineer and quantitative thinker with a "builder" mindset. You should thrive in a fast-paced, collaborative trading floor environment where you are expected to work independently, think critically, and take complete ownership of your projects.
Basic Qualifications
  • Education: Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Financial Engineering, Mathematics, or a related quantitative field.
  • Core Languages: Expert-level proficiency in C++ or Java (for high-performance, low-latency systems) and Python (for data analysis, prototyping, and scripting).
  • CS Fundamentals: Strong foundation in data structures, algorithms, systems programming, and concurrent/multi-threaded application design.
  • Engineering Best Practices: Deep understanding of the software development lifecycle, including version control (Git), CI/CD pipelines, testing frameworks, and performance profiling.
  • Problem Solving: Exceptional debugging skills and the ability to navigate complex, distributed systems under time-sensitive, live-trading conditions.

Preferred Qualifications
  • Domain Knowledge: Strong understanding of Rates products (Treasuries, Swaps, Futures), yield curve modeling, and fixed-income analytics.
  • Industry Experience: Prior experience working as a Quant Developer, Strat, or Software Engineer on a systematic trading desk, market-making team, or high-frequency trading (HFT) firm.
  • Data Engineering: Experience building and maintaining large-scale time-series databases (e.g., KDB+/q, SQL) and ETL pipelines.
  • Quantitative Skills: Familiarity with statistical modeling, optimization techniques, and machine learning libraries in Python.

Salary Range
The expected base salary for this New York, NY, United States-based position is $150000-$225000. 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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