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Programmer Python Salary Jobs in Ramsey, NJ (NOW HIRING)

Citigroup, Inc.

VP Python Tech Lead

Rutherford, NJ · On-site

$142K - $213K/yr

The overall objective of this role is to lead applications systems analysis and programming ... Rutherford New Jersey United States Primary Location Full Time Salary Range: $142,320.00 - $213,480 ...

Accenture

Python Developer - 6249754

New York, NY · On-site

$26.39 - $72.31/hr

Advanced proficiency in Python Programming Language * Associates degree Preferred Qualifications ... Accenture Flex Jobs Role Location Hourly Salary Range California $26.39 to $72.31 Cleveland $24.42 ...

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How much do programmer python salary jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for programmer python salary in Ramsey, NJ is $67.77, according to ZipRecruiter salary data. Most workers in this role earn between $62.21 and $71.78 per hour, depending on experience, location, and employer.

Will AI replace Python coding?

AI is increasingly capable of automating certain programming tasks, but Python programmers are still essential for designing, developing, and maintaining complex software systems. AI tools can assist with code generation and debugging, but human expertise remains crucial for problem-solving and creative development in Python coding. Continuous learning and adapting to new tools are important for programmers to stay relevant.

Is Python a high paying job?

Python programming jobs, such as Python developers or software engineers, tend to offer competitive salaries due to the language's widespread use in data science, web development, and automation. Salaries vary based on experience, location, and industry, but Python roles are generally considered well-paying within the tech field.

What is the difference between Programmer Python Salary vs Data Analyst Salary?

AspectProgrammer Python SalaryData Analyst Salary
Required CredentialsProficiency in Python, programming skills, sometimes certifications in Python or related technologiesStatistical knowledge, data analysis skills, often a degree in statistics, data science, or related fields
Work EnvironmentSoftware development teams, tech companies, startupsBusiness environments, research firms, finance, healthcare
Industry UsageSoftware development, automation, backend servicesData interpretation, reporting, business insights

While Programmer Python roles focus on coding and software development using Python, Data Analysts primarily interpret data and generate reports. Salaries vary based on experience, location, and industry, but both roles require strong analytical skills and technical knowledge. Understanding these differences helps job seekers target the right roles and salary expectations.

What are the key skills and qualifications needed to thrive as a Python Programmer, and why are they important?

To thrive as a Python Programmer, you need strong coding skills in Python, a solid understanding of algorithms, data structures, and typically a degree in computer science or related field. Familiarity with frameworks like Django or Flask, version control systems like Git, and experience with databases are commonly required. Problem-solving ability, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are crucial for delivering robust software solutions, collaborating with teams, and keeping up with evolving technology.

What are some common challenges Python programmers face when working on large-scale projects?

Python programmers working on large-scale projects often encounter challenges such as managing code complexity, ensuring code performance, and maintaining consistent coding standards across the team. Collaboration with other developers, effective use of version control systems, and writing modular, well-documented code are essential to address these challenges. Additionally, integrating Python code with other technologies and legacy systems can require strong problem-solving skills and adaptability.

What is the average salary for a Python programmer?

The average salary for a Python programmer varies depending on experience, location, and industry. In the United States, entry-level Python programmers typically earn between $65,000 and $85,000 per year, while experienced developers can make upwards of $120,000 annually or more. Factors like certifications, advanced skills, and working in high-demand sectors such as finance or tech can increase earning potential. Salaries may also differ internationally, with local job markets influencing pay rates.

Is Python in high demand?

Python programmers are in high demand across many industries due to the language's versatility, ease of learning, and widespread use in data analysis, web development, and automation. Employers often seek Python skills along with knowledge of frameworks like Django or data libraries such as Pandas and NumPy. The demand is expected to grow as organizations increasingly rely on automation and data-driven decision-making.
What job categories do people searching Programmer Python Salary jobs in Ramsey, NJ look for? The top searched job categories for Programmer Python Salary jobs in Ramsey, NJ are:
What cities near Ramsey, NJ are hiring for Programmer Python Salary jobs? Cities near Ramsey, NJ with the most Programmer Python Salary job openings:
Programmer Python Salary jobs near you
GBM - Quantitative Dev/Strat - Systematic Rates Trading, New York

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

Goldman Sachs

New York, NY

Other

Posted 2 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

40th of 146 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.

What Goldman Sachs employees say

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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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