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

Citi

Senior Python Developer

New York, NY · On-site

$121K - $181K/yr

Citi Spread Products (SP) technology is seeking a highly motivated candidate for Python and Full ... Jersey City New Jersey United States ----- Primary Location Full Time Salary Range: $121,200.00 ...

Citi

Python Developer - Vice President

Rutherford, NJ · On-site

$142K - $213K/yr

... Programming (OOPS) principle-based development and mentor team members to leverage advanced python ... Rutherford New Jersey United States ----- Primary Location Full Time Salary Range: $142,320.00 ...

ION Group

Lead Python Developer, New York

New York, NY · On-site

$153K - $188K/yr

The Role Lab49 is seeking a skilled Python Developer to work on complex and challenging projects ... The base salary range across different levels are: • Mid to Senior level - $180,000 - $220,000 ...

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All JobsProgrammer Python Salary JobsProgrammer Python Salary Jobs in Ramsey, NJ

Programmer Python Salary information

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How much do programmer python salary jobs pay per hour?

As of Sep 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.

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

Technology Lead Python Data Engineer - Vice President

Rutherford, NJ • On-site

Vibehackers
See more jobs at Vibehackersexternal

$142K - $213K/yr

Other

Medical, Dental

Posted 6 days ago

Job description

Technology Lead Python Data Engineer - Vice President

Mentions exposure to vibe coding—uses AI-assisted tooling and LLMs to accelerate development and experimentation while preserving engineering rigor.

About the Role

Citi is hiring a Technology Lead Python Data Engineer (Vice President) to design and deliver scalable, Python-based platforms for credit risk analytics and decisioning. The role blends hands-on development, microservices and cloud-native architecture, AI/GenAI integration, and technical leadership to ensure performant, compliant enterprise systems.

Job Description Role

The Technology Lead Python Data Engineer (Vice President) will lead the design and delivery of modern, scalable platforms that support credit risk analytics, workflows, and reporting. This senior engineering leadership role combines hands-on Python development, system architecture, microservices design, and AI/GenAI-enabled innovation within an enterprise banking environment.

Key Responsibilities
  • Architect, design, and deliver scalable Python-based applications for credit risk analytics, workflows, and reporting.
  • Design and evolve microservices-based architectures ensuring scalability, resiliency, observability, and maintainability.
  • Build API-driven services and integrate platforms with risk, product, and technology teams.
  • Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness.
  • Apply AI and GenAI capabilities (including LLMs) to modernize workflows, automate analysis, and augment analytics.
  • Resolve high-impact, complex initiatives through analysis of business processes and system flows.
  • Serve as technical leader and mentor to mid-level engineers and analysts; allocate and prioritize work.
  • Ensure solutions adhere to enterprise architecture, data, security, and regulatory requirements; apply sound risk and control judgment.
Qualifications
  • 6+ years of experience in application development or systems engineering within complex environments.
  • Advanced proficiency in Python and SQL with strong software engineering fundamentals.
  • Hands‑on experience building API‑driven services using FastAPI, Pydantic, and/or Django.
  • Proven expertise designing and implementing microservices architectures, including inter‑service communication, resiliency patterns, and observability.
  • Strong experience with Docker and Kubernetes; deploying and operating containerized services in production.
  • Experience working in Linux environments, including shell scripting and operational troubleshooting.
  • Strong track record implementing unit testing, test‑driven development (TDD), and automated quality controls.
  • Subject matter expert (SME) in at least one application, platform, or service domain.
  • Working knowledge of large language models (LLMs) and AI platforms (examples: OpenAI, Anthropic, Google, Meta) and experience contributing to LLM‑enabled solutions.
  • Familiarity with prompt engineering, model integration patterns, and AI governance in enterprise settings.
  • Exposure to modern “vibe coding” practices—leveraging AI‑assisted tooling to accelerate development while maintaining engineering rigor.
Preferred / Bonus Skills
  • Experience with distributed data and compute platforms (Spark, PySpark, Hadoop, Hive).
  • Hands‑on experience with graph databases, particularly Neo4j.
  • Background in credit risk, financial risk management, or banking platforms.
  • Experience modernizing or decomposing legacy monolithic systems in large enterprises.
  • Proven delivery of GenAI/AI‑driven solutions in regulated or large‑scale environments.
Work Style
  • Operate with a startup mindset: ownership, bias for action, and pragmatic innovation.
  • Deliver with enterprise discipline: stability, controls, transparency, and audit readiness.
  • Balance experimentation with responsibility in a high‑trust, high‑impact environment.
  • Primary location: Rutherford, New Jersey, United States.
  • Primary Location Full Time Salary Range: $142,320.00 - $213,480.00.
Notes
  • Citi emphasizes compliance with laws, regulations, and internal policies and expects candidates to apply appropriate risk and control judgments.
  • Role resides within Technology -> Applications Development and is full time.

Python SQL FastAPI Pydantic Django Docker Kubernetes Linux Shell scripting Spark PySpark Hadoop Hive Neo4j LLMs OpenAI Anthropic Google Meta GenAI

Skills

System Architecture Microservices Design API Design Technical Leadership Mentoring Problem Solving Compliance & Risk Management Observability & Monitoring Testing & QA Practices DevOps / Containerization practices Distributed Systems Stakeholder Collaboration AI/GenAI Integration Prompt Engineering Familiarity

Experience Level

Senior

USD 142,320 - 213,480/year

Employment Type

Full-time

  • Medical insurance
  • Dental insurance
  • Disability insurance
  • Wellness programs
  • Sick leave
  • Discretionary and formulaic incentive and retention awards
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