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Usa Python Jobs in Ohio (NOW HIRING)

Java, Python; able to jump between Java and Python projects as needed. • Proficiency building ... Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees.

Working knowledge of Python scripting for basic network tasks such as data collection, configuration validation, and repetitive changes. Ability to use automation tools and controllers (such as Cisco ...

... R and/or Python for data manipulation and statistical analysis. • Deep understanding of ... Founded in 2004, the company is headquartered in Atlanta, USA, with a team of 51-200 employees. The ...

Solutions Architect, Retail - CPG

Columbus, OH · On-site

$60.75 - $80.25/hr

... Python, R, Scala or Java Preferred : • Nice to have: Databricks Certification Company ... Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 ...

DevOps Engineer

Cincinnati, OH · On-site

$51.50 - $70.50/hr

... Powershell, Bash, Python) • Strong understanding of software development principles • ... USA, with a team of 5001-10000 employees. The company is currently Late Stage.

... Python, PowerShell, Java, Go, C#, JavaScript) to automate security operations, data analysis ... Founded in 1964, the company is headquartered in Columbus, USA, with a team of 5001-10000 employees.

... with Python for building data pipelines and automating ingestion processes. • Knowledge of ... Hillman Solutions Corp. Founded in 1964, the company is headquartered in Cincinnati, USA, with a ...

... skills in Python (and/or Java, C++) • Experience with machine learning frameworks (e.g ... Founded in 1995, the company is headquartered in Cleveland, USA, with a team of 501-1000 employees.

New

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

... Knowledge of Python is preferred • Knowledge of C#, Azure development is a bonus Company ... USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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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

JPMorganChase

Columbus, OH • On-site

Full-time

Re-posted 18 days ago


Job description

Job Summary:
JPMorgan Chase is a leading financial services firm, dedicated to helping nearly half of America’s households and small businesses achieve their financial goals. As a Lead Software Engineer in the Consumer & Community Banking division, you will design and build critical technology solutions, focusing on AI components to enhance customer experiences.
Responsibilities:
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Foster a team culture of diversity, opportunity, inclusion, and respect.
• Adopt and learn new technologies that positively impact agentic solutions.
• Collaborate with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions.
• Lead code reviews, mentor junior engineers, and promote best practices in software engineering.
• Ensure compliance with security, privacy, and regulatory requirements in all software solutions.
Qualifications:
Required:
• Hands-on experience building agentic systems using LLMs/SLMs
• 5+ years of software engineering experience, with 2+ years building complex scalable applications or agentic systems.
• Experience setting up and maintaining MCP servers and building MCP-compatible tools/adapters
• Proficient in coding in one or more languages: Java, Python; able to jump between Java and Python projects as needed.
• Proficiency building production services with either Spring AI and the Spring ecosystem (Spring Boot, Spring Security, Spring Cloud), or Python (FastAPI/Flask), with typed contracts, testing, and packaging.
• Solid AWS background with working knowledge of ECS or EKS, containerization (Docker), and CI/CD (GitHub Actions/Jenkins/CodeBuild).
• Strong API design skills (REST/OpenAPI; gRPC and familiarity with observability stacks (e.g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry).
• Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context windows, token budgeting, and safety guardrails.
• Strong testing culture: unit/integration tests, load tests, and evaluation datasets for agents.
• Excellent communication and cross-functional collaboration skills.
• Experience with agile methodologies and working in fast-paced, iterative development environments.
Preferred:
• Expertise with distributed orchestration patterns for LLM applications (graph-based flows, retries, fallbacks, guardrails) and secure integration with enterprise tools and data.
• Experience with safe rollout strategies (shadowing, A/B testing, progressive exposure), human-in-the-loop review, and continuous evaluation for quality and safety, including canary rollouts.
• Knowledge of API gateways, service mesh, and multi-region high availability and disaster recovery for mission-critical services.
• Familiarity with data privacy, security best practices, and regulatory compliance in financial services.
• Experience with performance optimization, scalability, and reliability engineering for large-scale systems.
• Ability to evaluate and integrate third-party tools, libraries, and frameworks to accelerate development.
• Demonstrated leadership in technical communities, open source contributions, or industry forums.
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.