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Python Finance Jobs in Minnesota (NOW HIRING)

Pi Square Technologies LLC

Kafka Developer

Minneapolis, MN · On-site

$55.25 - $71.75/hr

... Scala, or Python for building Kafka producers/consumers. * Hands-on experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). * Familiarity with financial ...

Pi Square Technologies

Kafka Developer

Minneapolis, MN · On-site

$55.25 - $71.75/hr

... Scala, or Python for building Kafka producers/consumers. * Hands-on experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). * Familiarity with financial ...

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All JobsPython Finance JobsPython Finance Jobs in Minnesota

Python Finance information

See Minnesota salary details

$12

$57

$84

How much do python finance jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for python finance in Minnesota is $57.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.

Is Python enough to get a finance job?

Python is a valuable skill for finance jobs such as quantitative analyst, data analyst, or financial engineer, as it is widely used for data analysis, modeling, and automation. However, employers often look for additional skills like finance knowledge, statistical understanding, and experience with tools such as Excel, SQL, or financial modeling. Combining Python with domain expertise and other technical skills increases job prospects in finance roles.

What finance jobs use Python?

Finance jobs that use Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often require skills in data analysis, modeling, and automation, with Python being used for tasks such as data processing, backtesting strategies, and building financial models.

Is Python a high paying job?

Python roles in finance, such as quantitative analysts or financial software developers, tend to offer high salaries due to the demand for programming skills and financial knowledge. Compensation varies based on experience, location, and industry, but Python expertise is generally associated with well-paying positions in finance and data analysis. Certifications and proficiency with related tools like pandas or NumPy can also enhance earning potential.

Is Python useful in finance?

Python is widely used in finance roles such as quantitative analyst, trader, and financial engineer due to its simplicity and extensive libraries like pandas, NumPy, and scikit-learn. It is commonly employed for data analysis, algorithmic trading, risk management, and financial modeling, making it a valuable skill for finance professionals.

What is the difference between Python Finance vs Quantitative Analyst?

AspectPython FinanceQuantitative Analyst
Required CredentialsProficiency in Python, finance knowledge, possibly some certificationsAdvanced degrees (e.g., MSc, PhD), quantitative skills, certifications like CFA
Work EnvironmentFinancial firms, tech companies, trading firmsInvestment banks, hedge funds, asset management
Industry UsageData analysis, algorithmic trading, risk modelingModel development, risk assessment, trading strategies

Python Finance professionals focus on coding and data analysis within financial contexts, often requiring programming skills and finance knowledge. Quantitative Analysts typically have advanced degrees and focus on developing complex models for trading and risk management. While both roles work in finance, Python Finance emphasizes programming, whereas Quantitative Analysts emphasize mathematical modeling.

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

Success in Python Finance requires strong programming skills in Python, a solid grasp of financial concepts, and often a degree in finance, mathematics, or computer science. Familiarity with technical tools like pandas, NumPy, SQL databases, and financial modeling libraries is typically expected, as well as experience with version control and sometimes certifications like CFA or FRM. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for efficiently analyzing financial data, automating processes, and delivering insights that drive smart financial decision-making.

How do Python Finance professionals typically collaborate with other departments within a financial organization?

Python Finance professionals often work closely with teams such as data analytics, risk management, trading, and IT. Collaboration usually involves developing or maintaining automated financial models, integrating data pipelines, and supporting real-time analytics. Clear communication is essential, as you may need to translate complex technical concepts into actionable insights for non-technical stakeholders. This cross-functional teamwork not only enhances project outcomes but also provides opportunities to broaden your understanding of the business and financial processes.

What is a Python Finance professional?

A Python Finance professional is someone who uses the Python programming language to analyze financial data, build financial models, automate trading systems, and perform quantitative analysis. These professionals often work in roles such as quantitative analysts, data scientists, or software developers within finance-related industries. They leverage Python’s powerful libraries like Pandas, NumPy, and scikit-learn to handle large datasets and perform complex financial computations. Their work helps financial institutions make data-driven decisions, improve efficiency, and gain insights into market trends.
What are popular job titles related to Python Finance jobs in Minnesota? For Python Finance jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Python Finance jobs in Minnesota look for? The top searched job categories for Python Finance jobs in Minnesota are:
Python Finance jobs near you
Infographic showing various Python Finance job openings in Minnesota as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,422 per year, or $57.4 per hour.

Data bricks

Tata Consultancy Service Limited

Minnetonka, MN • On-site

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Must Have Technical/Functional Skill
Design, develop, and implement data pipelines and ETL processes using Azure services, with a focus on Azure Databricks, Azure Data Factory (ADF), Azure Functions, and Azure AI Search.
• Leverage Python SDKs to build and optimize data processing and analysis tasks, ensuring high performance and scalability in data workflows.
• Write and deploy Python applications that can run on Kubernetes, ensuring efficient containerization and orchestration of data processing tasks.
• Implement and integrate Azure AI Search capabilities to enhance data accessibility and retrieval for analytics and business intelligence.
• Utilize version control tools such as GitHub for code management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation
Roles & Responsibilities
3+ years of experience in a data engineering role.
• Strong experience with Azure services, particularly Azure Databricks, ADF, and Azure AI Search.
• Proficiency in Python and its relevant libraries and Spark, with a focus on leveraging Python SDKs for data engineering tasks.
• Experience writing and deploying Python applications, including familiarity with containerization and orchestration tools.
• Experience working with diverse data formats and data storage solutions.
• Familiarity with version control software (e.g., GitHub) and agile methodologies.
• Strong problem-solving and analytical skills, with a keen attention to detail.
• Excellent communication and collaboration abilities, with a proven track record of working effectively in teams.
This position is a hybrid role and will require the candidate to be in office 2-3 days a week.
Salary Range: $100,000-$130,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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