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Python Financial Jobs in Philadelphia, PA (NOW HIRING)

Best Egg, now part of Barclays, is a market-leading, tech-enabled financial platform helping people ... This role focuses on designing and delivering reliable, high-quality Python services on AWS while ...

Use tools such as Excel (advanced functions), SQL, Python, or R to manipulate and analyze large ... Support ad hoc financial analyses, scenario modeling, and other special projects as required.

Use tools such as Excel (advanced functions), SQL, Python, or R to manipulate and analyze large ... Support ad hoc financial analyses, scenario modeling, and other special projects as required.

Use tools such as Excel (advanced functions), SQL, Python, or R to manipulate and analyze large ... Support ad hoc financial analyses, scenario modeling, and other special projects as required.

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Python Financial information

See Philadelphia, PA salary details

$13

$59

$87

How much do python financial jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for python financial in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What are some common projects or tasks Python Financial professionals work on in a typical week?

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 is a Python Financial job?

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 are the key skills and qualifications needed to thrive in the Python Financial position, and why are they important?

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.

What are the most commonly searched types of Python Financial jobs in Philadelphia, PA? The most popular types of Python Financial jobs in Philadelphia, PA are:
What are popular job titles related to Python Financial jobs in Philadelphia, PA? For Python Financial jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Python Financial jobs in Philadelphia, PA look for? The top searched job categories for Python Financial jobs in Philadelphia, PA are:
Infographic showing various Python Financial job openings in Philadelphia, PA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,040 per year, or $59.2 per hour.
Lead Engineer II - Backend (Python)

Lead Engineer II - Backend (Python)

Best Egg

Wilmington, DE • On-site

Full-time

Posted yesterday


Job description

Best Egg, now part of Barclays, is a market-leading, tech-enabled financial platform helping people build financial confidence through innovative lending solutions and financial health tools. As a Barclays company, we combine the agility and customer focus of a fintech with the global reach, stability, and purpose of a leading financial institution—working together to create a better financial future for our customers and communities.


At Best Egg, you’ll find a culture grounded in our core values—putting people first, creating clarity, delivering with excellence —enhanced by Barclays’ commitment to integrity, inclusion, and long-term impact. Together, we empower our colleagues to challenge, innovate, and take ownership while making a meaningful difference in people’s financial lives.


With the strength of Barclays behind us, we offer expanded opportunities for growth, development, and career mobility across a global organization—while continuing to build the products and experiences that make Best Egg unique.


We’re looking for collaborative, curious problem-solvers who are excited to make an impact and grow with us.


We’re proud to be an equal opportunity employer committed to building a diverse and inclusive team.


The Lead Software Engineer II – Backend plays an important role in building and enhancing backend engineering solutions across the organization. This role focuses on designing and delivering reliable, high-quality Python services on AWS while contributing to technical discussions, improving engineering practices, and supporting team execution. You will work closely with senior engineers, Product, and other backend and frontend teams to build performant, maintainable, and scalable APIs, serverless functions, and containerized services.
What You Will Do

Technical Leadership & Delivery

  • Design, develop, and deliver high-quality backend Python services iteratively and incrementally.
  • Take ownership of key services and APIs—from hands-on coding through CI/CD, deployment to AWS, monitoring, and on-call support.
  • Contribute to backend observability using tools like Datadog for logging, metrics, distributed tracing, and alerting.
  • Participate in technical design discussions and contribute architectural insights, working with senior leaders to shape solutions.
  • Ensure software follows modern engineering practices, including clean code, testing, automation, and modern backend architecture patterns.
  • Support continuous improvement in code quality, reliability, performance, and developer experience.
  • Translate business requirements into clear technical tasks and help validate assumptions and approaches.
Qualifications & Experience

Technical Expertise

  • 3–7 years of professional backend software engineering experience.
  • Proficiency in Python at scale, including modern Python (3.13+), type hints, async/await, packaging, and a strong grasp of the standard library and the broader ecosystem.
  • Expertise with at least one major Python web framework (FastAPI preferred; Django or Flask also strong) and the patterns that make Python services reliable in production.
  • Strong hands-on experience with AWS, including building and operating production workloads on Lambda (serverless functions, event-driven architectures) and EKS (containerized services on Kubernetes).
  • Working knowledge of supporting AWS services such as API Gateway, SQS/SNS, S3, IAM, CloudWatch, and Secrets Manager.
  • Experience designing and building RESTful APIs
  • Working knowledge of PostgreSQL
  • Experience with Redis for caching, rate limiting
  • Experience with containerization (Docker) and Kubernetes fundamentals (deployments, services, scaling, troubleshooting).
  • Experience with CI/CD pipelines and modern release tooling; familiarity with GitHub Actions and Octopus Deploy is a plus.
  • Experience with unit, integration, and contract testing (pytest or similar).
  • Experience working within mature, legacy codebases and contributing to incremental modernization efforts.
What Success Looks Like

In the first 90 days

  • Own core services or features.
  • Deliver high-quality, production-ready code and contribute meaningfully to team goals.
  • Build strong working relationships within Engineering, Product, and partner teams.

In 6–12 months

  • Lead development of one or more services or features with increasing autonomy.
  • Help improve service performance, reliability, and scalability.
  • Support and elevate engineering practices through mentorship, code reviews, and process improvements.
Employee Benefits
Best Egg offers many additional benefits for our employees, including (but not limited to):
·       Pre-tax and post-tax retirement savings plans with a competitive company matching
program
·       Generous paid time-off plans including vacation, personal/sick time, paid short--
term and long-term disability leaves, paid parental leave, and paid company
holidays
·       Multiple health care plans to choose from, including dental and vision options
·       Flexible Spending Plans for Health Care, Dependent Care, and Health
Reimbursement Accounts
·       Company-paid benefits such as life insurance, wellness platforms, employee
assistance programs, and Health Advocate programs
·       Other great discounted benefits include identity theft protection, pet insurance,
fitness center reimbursements, and many more!
 
 
In compliance with the CCPA, Best Egg is fully committed to handling the personal information and data of employees and job applications responsibly with respect and due care. Review our CCPA Employee Policy  here