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

RadNet, Inc.

Data Scientist Manager

Morristown, NJ · On-site

$164 - $172/hr

Programming Languages R and Python. Salary: $164,050 to $171,900/year. Standard benefits package. Apply online Full-time/Part-time Full-time FLSA Exempt Total Rewards Summary We provide a ...

Bank of Montreal

C++ Quant Developer

New York, NY · On-site

$260K/yr

You will work on complex engineering problems in a close relationship with traders and quants. Your ... Python Salary: Please note the base salary for this role at VP level is $260,000 USD. Salary : Pay ...

BMO Capital Markets

C++ Quant Developer

New York, NY · On-site

$260K/yr

You will work on complex engineering problems in a close relationship with traders and quants. Your ... Python Salary: Please note the base salary for this role at VP level is $260,000 USD. Salary : Pay ...

Pwc

GenAI Python Systems Engineer-Manager

New York, NY · On-site

$99K - $232K/yr

... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

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Programmer Python Salary information

See Ramsey, NJ salary details

$40

$67

$82

How much do programmer python salary jobs pay per hour?

As of Aug 20, 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.

What are the key skills and qualifications needed to thrive as a Python programmer?

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.

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.

Are Python programmers still in demand?

Python programmers are currently in high demand across various industries due to the language's versatility in web development, data analysis, machine learning, and automation. The demand is expected to remain strong as organizations increasingly adopt Python for their technical needs, and proficiency with frameworks like Django or data libraries such as Pandas can enhance job prospects.

Is programming in Python a high paying job?

Programming in Python is generally considered a well-paying job, especially for experienced developers with skills in frameworks, data analysis, or machine learning. Salaries vary based on location, experience, and industry, but Python developers often earn above average wages compared to other programming roles.

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

Generative AI Solutions Developer

KX Inc.

New York, NY • Hybrid

Full-time

Medical

Re-posted 18 days ago

Job description

About KX

KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.

KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific. 

Overview Of The Role

Own the end-to-end technical design for large-language-model (LLM) and generative-AI solutions across NVIDIA, AWS, Azure and GCP stacks. You will translate business use-cases into secure, scalable architectures, lead reference implementations, and mentor delivery teams for enterprise deployments-especially in financial-services environments.

Key Responsibilities 

  • Shape multi-cloud architectures for training, fine-tuning and serving LLMs (e.g., NeMo, Bedrock, Azure OpenAI, Vertex AI).
  • Define MLOps/GitOps patterns for model lifecycle, vector-DB indexing, retrieval-augmented generation (RAG) and guard-railing. Benchmark and cost-optimize GPU, Grace Hopper and CPU clusters (TCO & carbon impact).Build production pipelines in Python (FastAPI, LangChain, Ray, Triton, Airflow).
  • Establish security and compliance controls (encryption, IAM, SOC 2, FINRA,GDPR).
  • Support pre-sales and proofs-of-concept with capital-markets clients.

Skills 

Programming

  • Python (must-have)
  • JavaScript / TypeScript (for web + full-stack AI apps)
  • Writing clean, testable code

Math & ML Basics

  • Linear algebra (vectors, matrices, embeddings)
  • Probability & statistics
  • ML concepts: overfitting, loss functions, training vs inference

Data Skills

  • Data cleaning & preprocessing
  • Pandas, NumPy
  • SQL basics

Essential Experience

  • 10-15 yrs building cloud-native data or ML platforms on AWS, Azure and/or GCP. Deep expertise in Python plus one of Go, Java
  • or C++.Hands-on with embedding models, tokenizer optimisation, prompt orchestration and OpenAI/Anthropic APIs. Prior delivery of enterprise Gen-AI systems (risk analytics, chatbots, document generation etc.).Solid grounding in distributed systems (K8s, service mesh, Kafka, Redis, GPU scheduling).

Preferred Qualifications

  • Experience with kdb+/q, ClickHouse or similar time-series stores. Contributions to open-source AI frameworks or NVIDIA NGC containers. Working knowledge of SRE/FinOps best practice.

Location & Workplace Type

This position takes on a Hybrid working model based in Ontario, Canada.

Why Choose KX  

Data Driven: We lead with instinct and follow fact. 

Naturally Curious: We lean in, listen and learn fast. 

All In: We take ownership, take on challenges and give it our all.  

Benefits 

  • Competitive Salary
  • Individually tailored training and skills development
  • Private healthcare package and Employee Assistance Programme
  • Enhanced maternity and paternity package
  • Wellness Days and Volunteer Days
KX logo

About KX

Sourced by ZipRecruiter

Industry

Manufacturing

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2020

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