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Python Finance Jobs in Dallas, TX (NOW HIRING)

Senior Python Developer

Dallas, TX · On-site

$120K - $161K/yr

This Senior Python Developer with PL/SQL role bridges high-performance backend automation with ... Design, build, and optimize scalable financial microservices and REST APIs using FastAPI, Flask, or ...

Needed for Python Developer

Plano, TX · On-site

$48 - $66.25/hr

We are Hiring for Python Developer position with our Direct Client. Please find the JD below and ... Analytical skills Experience in Finance domain Ability to work in team in diverse/ multiple ...

Python Engineer- USC/GC/ GC EAD/ H4 EAD- W2 Location: Charlotte NC/Plano TX - Look for local ... Ability to work in a fast-paced, large-scale financial services environment

... Python Engineering (with FastAPI, Pydantic, PyTorch, HuggingFace Ecosystem). - Expertise in ... Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of ...

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance space. Remote or Dallas/Austin based developers will be considered. Requirements Extensive ...

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance space. Remote or Dallas/Austin based developers will be considered. Requirements Extensive ...

Python Developer

Addison, TX · On-site

$80K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ü 5+ years of experience as developer in Python technologies including Machine Learning ü ... Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student ...

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance space. Remote or Dallas/Austin based developers will be considered. Requirements • Extensive ...

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance space. Remote or Dallas/Austin based developers will be considered. Requirements • Extensive ...

Python PySpark Developer

Plano, TX · On-site

$48 - $66.25/hr

... of financial industry and their IT systems Preferred qualifications, capabilities, and skills Expert in one or more programming language(s) preferably Java AWS Associate level certification in ...

Project Power BI/Python Developer

Dallas, TX

$49.75 - $68.50/hr

Your contributions can help clients improve financial performance, accelerate new digital ventures ... Leverage Python for data wrangling, automation, and advanced analytics to enhance reporting ...

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Python Finance information

See Dallas, TX salary details

$13

$57

$85

How much do python finance jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for python finance in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

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 Dallas, TX?

For Python Finance jobs in Dallas, TX, the most frequently searched job titles are:

Infographic showing various Python Finance job openings in Dallas, TX as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.

Senior Python Developer

Prophecy Technologies

Dallas, TX • On-site

$120K - $161K/yr

Full-time

Posted 4 days ago


Job description

Role Overview:
This Senior Python Developer with PL/SQL role bridges high-performance backend automation with robust relational database management. Operating within the banking domain, the successful candidate will build and scale data-driven financial applications, optimize complex transactional databases, and streamline extract-transform-load (ETL) data pipelines for critical systems like risk management, regulatory reporting, or payment processing.
Key Responsibilities:
  • Design, build, and optimize scalable financial microservices and REST APIs using FastAPI, Flask, or Django.
  • Process massive transactional datasets using numerical libraries like Pandas, NumPy, and PySpark.
  • Develop and maintain automated workflows, orchestrating jobs with Apache Airflow DAGs.
  • Migrate legacy scripting structures (e.g., Perl or Bash) into highly observable Python orchestration scripts.
  • Design, develop, and maintain complex Oracle SQL and PL/SQL packages, stored procedures, triggers, and functions.
  • Execute intensive database performance tuning using AWR reports, Explain Plans, and advanced indexing.
  • Manage data partitioning strategies (e.g., exchange partitions) to drastically cut data processing windows.
  • Build data structures ensuring rigorous data integrity, audit trails, and strict transaction handling.

Required Skills:
  • Advanced Python (OOP, multi-threading, asynchronous programming)
  • Oracle PL/SQL
  • Data Processing: Pandas, NumPy, PySpark, and enterprise ETL toolsets
  • Databases: Oracle Database 12c/19c (including deep knowledge of analytical functions and collections)
  • Messaging & Events: Apache Kafka, RabbitMQ, or IBM MQ
  • DevOps & Cloud: Git, CI/CD pipelines (Jenkins/GitLab), Docker, Kubernetes, and cloud environments like AWS or Snowflake
  • In-depth knowledge of Python software development, including frameworks, tools, and systems (e.g., NumPy, Pandas, SciPy, PyTorch)
  • Proficiency with front-end development technologies, such as HTML, CSS, and JavaScript
  • Familiarity with database tools such as SQL and NoSQL and their best practices
  • Excellent communication and team-building skills

Qualifications:
  • Minimum of 8+ years of professional software engineering experience, with at least 3 years inside a financial institution or banking tier.
  • Bachelor's degree in Computer Science, Financial Engineering, Management Information Systems, or a related field.