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Flexible Python Financial Jobs in Mason, MI (NOW HIRING)

FastTek

Data Warehouse Architect

Lansing, MI · On-site

Create automation scripts using Python, Shell scripting, and XML for ETL workflows and data ... FastTek Global is a financially strong, privately held company that is 100% consultant and client ...

Jackson National Life

Lead Asset Modeling Actuary

Lansing, MI · On-site

$118K - $139K/yr

... financial modeling, financial reporting, risk analysis, asset modeling, or data analysis, as ... Flexible thinking and creativity with the ability to adapt standard actuarial models to unusual ...

All JobsPython Financial JobsFlexible Python Financial JobsFlexible Python Financial Jobs in Mason, MI

Flexible Python Financial information

See Mason, MI salary details

$11

$51

$75

How much do flexible python financial jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for flexible python financial in Mason, MI is $51.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $58.17 per hour, depending on experience, location, and employer.

What is the difference between Flexible Python Financial vs Data Analyst?

AspectFlexible Python FinancialData Analyst
Required SkillsPython programming, financial modeling, data analysisExcel, SQL, data visualization, basic statistics
Work EnvironmentFinance firms, investment banks, fintech companiesCorporate, consulting, or tech companies
CertificationsFinancial certifications (CFA, FRM) helpful but not mandatoryNone specific, often data-related certifications

Flexible Python Financial roles focus on applying Python skills to financial data and modeling within finance industries, often requiring financial knowledge. Data Analysts work across various industries analyzing data using tools like Excel and SQL. While both roles involve data analysis, Flexible Python Financial positions emphasize programming and finance expertise, whereas Data Analysts focus on broader data interpretation and reporting.

What job categories do people searching Flexible Python Financial jobs in Mason, MI look for?

The top searched job categories for Flexible Python Financial jobs in Mason, MI are:

What cities near Mason, MI are hiring for Flexible Python Financial jobs?

Cities near Mason, MI with the most Flexible Python Financial job openings:

Flexible Python Financial jobs near you
Infographic showing various Flexible Python Financial job openings in Mason, MI as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 28% Part Time, 2% Contract, and 2% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $106,539 per year, or $51.2 per hour.

Software Engineer Internship

Lansing, MI • On-site

Waggoner Financial
See more jobs at Waggoner Financialexternal

Temporary

Posted 7 days ago

Job description

We are looking for software engineer intern to join our internal platform team. You'll work across our full stack, GraphQL API (NestJS), React frontend (Next.js), and PostgreSQL database, building tools that advisors use to make real investment decisions. Scope scales with experience: early-career developers ship well-scoped features with mentorship, while senior developers drive architecture decisions and mentor others.
Responsibilities
  • Design, build, and ship features end-to-end across our internal platform.
  • Build and maintain integrations with financial data providers, including Black Diamond, Capital IQ, FMP, Box, and Redtail, including authentication, error handling, and data parsing.
  • Develop analytics and decision tools, including portfolio metrics, earnings tracking, and risk analysis used by advisors for real investment decisions.
  • Build AI-powered features, including document search, chat over internal knowledge, and workflow automation.
  • Participate in code review, testing, and the ongoing architectural restructure of the platform.

Requirements
  • Experience building and shipping real software in TypeScript or JavaScript, whether professional, academic, or personal projects.
  • Full-stack reasoning: understanding how a UI change relates to an API, and how an API relates to its data.
  • Clear, readable code and constructive participation in code review.
  • Clear communication with non-engineers; our users are financial advisors.
  • Curiosity about the financial domain, no finance background required.
  • Comfort using LLM coding assistance such as Claude Code or OpenAI models.
Nice to Have
  • Experience with Next.js, React, NestJS, GraphQL, PostgreSQL, TypeORM, Nx, or Bun.
  • Third-party API integration experience.
  • Fintech exposure.
  • Python experience.
  • Experience building LLM-powered features.

Benefits
  • Competitive hourly pay.
  • Flexible scheduling around class commitments.
  • Potential path to future opportunities with the firm.
  • Direct mentorship from experienced engineers, with scope that grows as you do.
  • Hands-on ownership of real features used by advisors for real investment decisions.
  • Exposure to modern tooling, including AI-powered development workflows and LLM coding assistants.
  • Small, collaborative engineering team with direct input into architecture and product direction.

Apply