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Usa Python Jobs in Ohio (NOW HIRING)

Python Private Tutoring Jobs

Toledo, OH · On-site

$49.50 - $68/hr

Mission Superprof is offering you the chance to become a private tutor all over the USA; part-time, flexible hours in the subject of your choice. Tutoring is the ideal job for students, graduates ...

Python Private Tutoring Jobs

Cleveland, OH · On-site

$48.75 - $67/hr

Mission Superprof is offering you the chance to become a private tutor all over the USA; part-time, flexible hours in the subject of your choice. Tutoring is the ideal job for students, graduates ...

Python Private Tutoring Jobs

Bowling Green, OH · On-site

$47.25 - $65/hr

Mission Superprof is offering you the chance to become a private tutor all over the USA; part-time, flexible hours in the subject of your choice. Tutoring is the ideal job for students, graduates ...

Python Private Tutoring Jobs

Columbus, OH · On-site

$48.50 - $67/hr

Mission Superprof is offering you the chance to become a private tutor all over the USA; part-time, flexible hours in the subject of your choice. Tutoring is the ideal job for students, graduates ...

$80K - $90K/yr

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to ... or Python for large-scale time-series data. * Familiarity with common automotive proving ground ...

... maintaining Python-based ML pipelines in cloud environments • Working with structured and ... Founded in 1997, the company is headquartered in Cincinnati, USA, with a team of 5001-10000 ...

... Python • Knowledge of DevOps tools such as Jenkins, Git, Ansible, Helm, Docker, and GitOps ... Founded in 1998, the company is headquartered in Bloomfield Hills, USA, with a team of 1001-5000 ...

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Usa Python information

What jobs in the US pay $300,000 a year?

In the US, high-paying roles such as senior software engineers, data scientists, and machine learning engineers can reach or exceed $300,000 annually, especially with experience, advanced skills, and working in tech companies or finance. Executive positions like CTOs and CIOs also often earn this level of compensation. These roles typically require specialized expertise, certifications, and often involve leadership responsibilities.

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

To thrive as a Python Developer, you need strong programming skills in Python, understanding of software development principles, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically required. Problem-solving ability, attention to detail, and effective communication are essential soft skills for collaborating with teams and troubleshooting code. These skills and qualifications ensure the delivery of robust, scalable, and maintainable software solutions.

Are Python still in-demand in 2026?

Python remains a highly in-demand skill for roles involving data analysis, machine learning, web development, and automation. Its versatility, extensive libraries, and widespread use across industries ensure continued demand for Python developers in 2026.

What are some common challenges faced by Python developers working in the USA, and how can they overcome them?

Python developers in the USA often encounter challenges such as keeping up with rapidly evolving technologies, integrating Python with legacy systems, and collaborating across multidisciplinary teams. To overcome these hurdles, it's important to stay updated with industry trends through continuous learning, participate in code reviews, and leverage robust testing practices. Additionally, effective communication and teamwork are vital for integrating solutions and ensuring project success in diverse, agile environments.

What does a Python developer do in the USA?

A Python developer in the USA primarily writes, tests, and maintains code using the Python programming language. They work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design software solutions, debug applications, and ensure the performance and scalability of their code. Their roles can vary depending on the industry, ranging from building backend web services to analyzing big data or developing artificial intelligence models.

What Python jobs are in-demand?

In-demand Python jobs include roles such as software developer, data analyst, data scientist, machine learning engineer, and backend developer. These positions often require knowledge of frameworks like Django or Flask, and familiarity with cloud platforms and version control tools. Python's versatility makes it valuable across industries like finance, healthcare, and technology.

How much do Python programmers make in the US?

Python programmers in the US typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level roles may start around $60,000, while experienced developers with specialized skills can earn over $130,000. Knowledge of frameworks, data analysis, or machine learning can influence salary levels.

What is the difference between Usa Python vs Usa Data Analyst?

AspectUsa PythonUsa Data Analyst
Required SkillsPython programming, data manipulation, scriptingData visualization, statistical analysis, Excel
Work EnvironmentSoftware development, data engineering teamsBusiness units, reporting teams
CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

While both roles involve working with data, Usa Python focuses on coding, automation, and data engineering tasks, whereas Usa Data Analyst emphasizes interpreting data, creating reports, and visualizations. The roles often collaborate but serve different functions within data projects.

Infographic showing various Usa Python job openings in Ohio as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Lead Software Engineer - Python/React, Ansible, RHEL

JPMorganChase

Columbus, OH • On-site

Full-time

Posted 19 days ago


Job description

Job Summary:
JPMorganChase is one of the oldest financial institutions providing innovative financial solutions. They are seeking a Lead Software Engineer to enhance and deliver technology products within Asset & Wealth Management, focusing on automation and software solutions using Python and React.
Responsibilities:
• Own end-to-end delivery of software capabilities using Python (services, APIs, integrations, automation tooling) and React (UI workflows, API-driven front-ends).
• Drive design decisions and establish engineering standards (code quality, testing strategy, CI/CD patterns, release discipline).
• Build and scale automation and tooling capabilities to improve operational efficiency and user experience.
• Diagnose common integration and connectivity issues using basic networking fundamentals (e.g., DNS, TCP connectivity concepts, TLS/certificates), escalating to specialist teams when needed.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Develop and maintain automation solutions using Ansible Automation Platform (playbooks/roles, inventories, credential patterns, operational runbooks).
• Lead effective customer support practices: incident/ticket triage, prioritization, clear communications, root-cause analysis, and prevention plans.
• Troubleshoot issues on RHEL (service health, logs, permissions, performance basics) and coordinate resolution across partner teams.
• Partner with product, infrastructure/platform, security, and operations stakeholders to deliver outcomes and manage risk.
• Maintain documentation, runbooks, and knowledge content; drive continuous improvement to reduce recurring issues and toil.
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years applied experience
• 5+ years of professional experience in Python, React, Automation software engineering experience.
• Deep Python engineering experience (production-grade code, debugging, testing, API integrations).
• Strong experience building web applications with React (component design, state management, API integration).
• Hands-on experience with Ansible Automation Platform (or enterprise-scale Ansible automation in a managed platform context).
• Practical experience supporting systems on RedHat Linux / RHEL.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Demonstrated customer support/production support capability (incident ownership, RCA, stakeholder communication).
• Working knowledge of basic networking concepts used in troubleshooting (DNS, TLS/certificates, connectivity validation).
• Accountable for reliability and support outcomes (incident trends, SLA/SLO adherence where applicable).
Preferred:
• TypeScript; modern React patterns; UI testing (Jest/RTL/Cypress).
• Python frameworks (FastAPI/Flask), async patterns, packaging, linting, CI.
• Ansible best practices (idempotency, roles/collections, secrets handling, inventory design, execution environments).
• Observability and operations (structured logging, metrics, tracing; on-call rotations).
• Containers and orchestration (Podman/Docker, Kubernetes/OpenShift).
• Familiarity with proxies/firewall concepts/load balancers.
• Provide senior technical leadership and execution ownership across Python services, UI, and automation workflows.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.