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Online Python Programming Jobs in New York (NOW HIRING)

Learnkwik.com

Python Fullstack Training

Newark, NJ

Online Training (Remote Training + Real-time exp) available. Our training is more than just hours ... We are offering online training on Python. . Provide OPT Stem Ext.: Guidance and support for ...

Learnkwik.com

Python Fullstack Training

Newark, NJ · On-site

Online Training (Remote Training + Real-time exp) available. Our training is more than just hours ... Python. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM ...

Lummus Technology

Manager Licensee Support

Bloomfield, NJ · On-site

$150K - $200K/yr

... online applications • Liaison with optimization and process control application groups • ... Python programming experience - Coding process simulation models and user interfaces - Solid ...

Ramp

Software Engineer, Data Platform

New York, NY · On-site

$168K - $324K/yr

Strong Python programming skills. Nice to Haves * Expertise with AWS * Previous experience building online machine learning systems. * Previous experience building a feature store. * Experience with ...

Superprof

Python Private Tutoring Jobs

Stamford, CT · On-site

$53.50 - $73.75/hr

We enable our tutors to set their own rates, work from home, tutor online or in-person and connect with thousands of motivated students through our platform. Mission Superprof is offering you the ...

Superprof

Python Private Tutoring Jobs

Paterson, NJ · On-site

$51.25 - $70.50/hr

We enable our tutors to set their own rates, work from home, tutor online or in-person and connect with thousands of motivated students through our platform. Mission Superprof is offering you the ...

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Online Python Programming information

See New York salary details

$32.1K

$131.4K

$203.1K

How much do online python programming jobs pay per year?

As of Jul 10, 2026, the average yearly pay for online python programming in New York is $131,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $156,900.00 per year, depending on experience, location, and employer.

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

To excel as an Online Python Programmer, you need strong proficiency in Python programming, a solid understanding of algorithms, and experience with web frameworks or data libraries, often supported by a relevant degree or coding certifications. Familiarity with tools like Git, Jupyter Notebook, Django, Flask, and cloud platforms is commonly required. Exceptional problem-solving abilities, clear communication, and self-motivation are vital soft skills for remote collaboration and independent work. These capabilities ensure high-quality, maintainable code and effective teamwork in virtual environments.

What is online Python programming?

Online Python programming refers to the practice of coding, running, and debugging Python programs through web-based platforms or cloud environments, rather than using local software on your computer. This allows users to write and execute Python code from anywhere with an internet connection, often leveraging collaborative tools, pre-configured environments, and integrated resources. Many platforms also offer interactive tutorials, code sharing, and project management features, making it easier to learn and work with Python online.

What is the difference between Online Python Programming vs Data Analyst?

AspectOnline Python ProgrammingData Analyst
Required SkillsPython, coding, problem-solvingData interpretation, Excel, SQL, Python (optional)
Work EnvironmentOnline, remote, self-paced learningOffice or remote, data-focused tasks
Industry UsageProgramming, software development, automationBusiness, finance, marketing, research

Online Python Programming primarily involves learning and practicing Python coding skills, often in a self-paced online setting. Data Analysts use Python as a tool to analyze data, but their role also includes interpreting data insights and reporting. While both roles may overlap in Python skills, Online Python Programming focuses on coding proficiency, whereas Data Analysts focus on data-driven decision-making.

What are some typical challenges faced by online Python programming instructors, and how can I prepare for them?

Online Python programming instructors often encounter challenges such as engaging students remotely, adapting teaching materials for virtual platforms, and addressing a wide range of experience levels. To prepare, it's helpful to develop interactive lesson plans, utilize screen-sharing and collaborative coding tools, and set clear communication channels for student support. Staying organized and proactive in providing feedback can also help ensure students remain motivated and on track throughout the course.
What are the most commonly searched types of Python Programming jobs in New York? The most popular types of Python Programming jobs in New York are:
What are popular job titles related to Online Python Programming jobs in New York? For Online Python Programming jobs in New York, the most frequently searched job titles are:
What job categories do people searching Online Python Programming jobs in New York look for? The top searched job categories for Online Python Programming jobs in New York are:
What cities in New York are hiring for Online Python Programming jobs? Cities in New York with the most Online Python Programming job openings:
Online Python Programming jobs near you
Principal Engineer - Python API Development

Principal Engineer - Python API Development

Fidelity Investments

Jersey City, NJ • On-site

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role:
As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost-efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production.
You will take a hands-on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads.
The Expertise & Skills You Bring
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale.
  • Deep software engineering expertise in Python and distributed systems, with a track record of building production-grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required.
  • Familiarity with Java or Groovy is a plus.
  • Knowledge or experience with GenAI Gateways or LiteLLM a big plus.
  • Cloud platform leadership (AWS)-hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial.
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git-based workflows), containerization (Docker), release governance, and multi-environment promotion for ML-enabled workloads.
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post-mortems) for ML serving and data/feature pipelines.
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus.
  • Cross-org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes.
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units.
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production.
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services.
  • Advance model/data observability-tooling for data and feature drift detection, prediction-quality monitoring and uncertainty signals, and automated diagnostics/ explainability.
  • Lead cross-platform incident response and post-mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform.
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale.
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long-term platform roadmap.

The Team
The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale.
In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $107,000-216,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Information Technology

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