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Python Financial Jobs in Charlotte, NC (NOW HIRING)

Python Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Requires Pyspark Python S3 Dremio ETL skills. Some financial exp would be beneficial. ProfitView modernization effort Resource will be responsible for end-to-end development covering portions of ...

Showing results 41-60

Python Financial information

See Charlotte, NC salary details

$12

$57

$84

How much do python financial jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python financial in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 per hour, depending on experience, location, and employer.

What is a Python Financial?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What do Python Financial professionals do?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What are the key skills and qualifications needed to thrive in the Python Financial position?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in quantitative analysis, trading, and risk management. It is widely used for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks and is often a key skill for finance-related roles.

What finance jobs require Python?

Finance jobs that require Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often involve data analysis, modeling, and automation, with proficiency in Python libraries such as pandas, NumPy, and scikit-learn being essential.

What are popular job titles related to Python Financial jobs in Charlotte, NC?

For Python Financial jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Python Financial jobs in Charlotte, NC look for?

The top searched job categories for Python Financial jobs in Charlotte, NC are:

Infographic showing various Python Financial job openings in Charlotte, NC as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,093 per year, or $57.3 per hour.

Lead Python Network Automation Engineer

Wells Fargo

Charlotte, NC • Hybrid

Full-time

Posted 13 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 709 frontline employees who took The Breakroom Quiz

89th of 171 rated banks


Job description

Wells Fargo is back in the office collaborating for fabulous outcomes.

This role is a hybrid position and in the office three days a week.

There is no visa sponsorship or visa transfers for this role.

Wells Fargo is seeking a Lead Python Software Engineer in the Secured Network Services organization with a goal to deliver automation solutions that enable a software driven Infrastructure environment.If you're passionate about automation, cloud-native technologies, and building scalable systems, this is your opportunity to make a real impact in a large-scale enterprise environment.

In this role, you will:

Create APIdriven integrations between network platforms and internal systems.

Develop and maintain automation frameworks that improve reliability and reduce operational toil.

Translate manual operational procedures into codified, repeatable automation.

Ensure automation artifacts follow best practices for performance, maintainability, and security.

Collaborate with network engineering and platform teams to align automation with broader architectural strategies.

Lead the automation of product deployments, customer journeys, and creation of APIs for our products and services

Demonstrate proficiency in using AIassisted development and analysis tools (e.g., GitHub Copilot and approved codecentric agents)

Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting

Apply strong technical judgment when validating and integrating AIassisted outputs into solutions

Understand and account for model limitations, security risks, and operational considerations

Apply AI responsibly in development and production environments

Ensure AI usage aligns with security, compliance, privacy, and ethical standards

Required Qualifications:

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

3+ years python development experience

Desired Qualifications:

Proficiency in Python for building automation tooling, integrations, and workflow orchestration

Experience with Nautobot is highly desired

Experience with langchain/langraph, google ADK/A2A, AG-UI, and other common opensource libraries for developing AI workflows.

Experience with openai api spec and building interfaces into enterprise models

Experience with MCP, Djando, graphQL, PSQL, no SQL, REACT, fast API, oAuth,

Experience with Multi agent orchestration

Demonstrated ability to consume and build REST APIs, including authentication, schema validation, error handling, and versioning

Hands-on experience with source control like GitHub.

Experience working in largescale, enterprise environments with change control and structured processes.

Extensive expertise in Microservices, RESTful API and event driven architectures.

Handson experience with Ansible, including developing reusable playbooks, roles, and modules for network automation.

Proficiency in dealing with Legacy infrastructure along with cloud infrastructure (OpenShift, Cloud Foundry, Kubernetes)

Working knowledge of Unix, Linux, Mongo DB, Postman

Posting End Date:

25 Aug 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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