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Python Finance Jobs in Dallas, TX (NOW HIRING)

Lead Software Engineer Python AWS

Plano, TX · On-site

$130K - $160K/yr

As a Lead Software Engineer Python AWS at JPMorgan Chase within the Corporate Technology, you are ... Application architecture disciplines and technical design for financial applications. * Experienced ...

CGI is seeking a AWS Python Full Stack Developer to support the design, development, and delivery of modern cloud based applications within a fast paced financial services environment. This role will ...

Job Title: Sr. QA (python, automation) on W2 Location: Pittsburgh, PA or Dallas, TX/Strongsville ... Previous experience in Finance * Database background and automation experience. Describe the role ...

Infosys is a global leader in driving digital transformation for financial institutions ... in Python, Gitlab, Terraform. • Bachelor's degree or foreign equivalent required from an ...

Showing results 21-40

Python Finance information

See Dallas, TX salary details

$13

$57

$85

How much do python finance jobs pay per hour?

As of Jul 25, 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.

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 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 July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.
Lead Software Engineer (Python, API Microservices, Devops))

Lead Software Engineer (Python, API Microservices, Devops))

Toyota

Plano, TX • On-site

$134K - $164K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago


Toyota rating

7.2

Company rating: 7.2 out of 10

Based on 872 frontline employees who took The Breakroom Quiz

24th of 44 rated automakers


Job description

Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other workauthorization for this role now or in the future. You must have the right to work in the United States and not requireToyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEMOPT, F-1 CPT, TN, 'job flexibility benefits' (also known as I-140 or Adjustment of Status portability), etc. now or in thefuture. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorshipnow or in the future.

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is likeatToyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve.We'relooking for diverse, talented team members who want to Dream. Do. Grow.withus.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Whowe'relooking for

Toyota Financial Services is seeking a motivated Senior Software Engineer withexpertisein Python,FastAPI, AWS Glue Catalog,PyIcebeg, AWS S3, AWS Glue ETL, ECS Fargate and real-time streaming using AWS MSK. You will design, build, and support a scalable, serverless Data Lake platformleveragingLambda, ECS containers, and API Gateway to enable real-time analytics and data processing. This role requires strong knowledge of microservices, AWS infrastructure setup, and architectural decision-making to deliver efficient, secure, and scalable solutions. As a hands-on tech lead, you will guide a squad of engineers and collaborate closely with architects, business stakeholders, and data governance teams to build robust data services and APIs.

Whatyou'llbe doing

Lead/Senior Python Developer (Python, AWS, Microservices) - Requirements

Backend/API Development

  • Build andmaintainRESTful APIs with Python, containerized and deployed on AWS ECS Fargate.

  • Design clean contracts and versioned APIs; document with Open API/Swagger.

Data Engineering Development

  • Design and develop Python-based ETL pipelines using AWS Glue ETL and Glue Catalog to efficiently ingest, parse, and transform diverse data sources.

  • Implement robust Python file parsing mechanisms to handle structured and unstructured data with accuracy. Ensure data quality and integrity through comprehensive auditing and data quality (DQ) checks integrated within the ETL workflows.

  • Design and develop an AWS S3 to Snowflake integration that leveragesPyIcebergfor efficient file format management and data versioning.

AWS & Infrastructure

  • Configure API Gateway for secure routing, throttling, authentication/authorization.

  • Use IAC (Terraform or AWS CloudFormation) for ECS/Fargate, API Gateway, IAM, networking.

  • Utilize AWS services: S3, Lambda, OpenSearch/Elasticsearch, CloudWatch, Bedrock.

CI/CD, Quality, and Testing

  • Build CI/CD pipelines (GitHub Actions, Jenkins, orCodePipeline) for automated build/test/deploy; use GitHub/GitLab and artifact repos (e.g., Artifactory).

  • Write unit, integration, and end-to-end tests withpytest; automate regression tests with QA.

  • Perform load/stress testing; analyze performance and reliability metrics.

Observability & Operations

  • Implement centralized logging and metrics (CloudWatch, Dynatrace; Elasticsearch/OpenSearch if needed); set up SLIs/SLO-based alerts.

  • Troubleshoot incidents using logs, traces, and metrics; proactively address bottlenecks.

  • Security & Governance

  • Implement SSO/OAuth2/JWT; follow AWS and MuleSoft integration security best practices where applicable.

  • Apply API application guardrails for safe, compliant usage; manage secrets and dependency scanning.

Leadership&Delivery

  • Own technical direction and architecture working with architecture group and Principal engineer for Python-based microservices and AWS services integrations with AWS Data Lake.

  • Break down roadmaps into milestones; drive estimations, delivery predictability, and risk management.

  • Lead design reviews,establishengineering standards, and approve critical architectural decisions.

  • Mentorengineers;provide feedback and growth plans; foster high-quality code and documentation.

What you bring

  • Education:Bachelor'sor higher in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).

  • Python Expertise: Strong experience building backend services and RESTful APIs with Python (FastAPI) and documenting withOpenAPI/Swagger.

  • Data Engineering: Strong Experience in building ETL pipelines using Glue ETL, Glue Catalog,AWS S3, Lambda and ECS.

  • Cloud:Proficiencywith AWS (e.g., ECS Fargate, API Gateway, Lambda, S3, CloudWatch);

  • Infrastructure as Code: Practical experience with Terraform (and/or AWS CloudFormation).

  • Programming & Data: Hands-on skills in Python, SQL

  • Build & CI/CD:Proficiencywith Git/GitHub, CI/CD tools (GitHub Actions, Jenkins); familiarity with build tools (Gradle/Maven) where Java is used.

  • Communication: Clear, concise communicator who can influence decisions with data, presentations, and visualizations.

  • Ways of Working: Effective collaborator in a hybrid environment; able to work independently with strongleadershipand follow-through.

Added bonusif you have

  • Security/Compliance:Understanding ofIAM, OAuth2/JWT, and secure coding practices; experience in regulated environments (e.g., SOC 2, HIPAA) is a plus.

  • Observability: Experience with CloudWatch, Dynatrace, and centralized logging (OpenSearch/Elasticsearch).

  • Testing:Comfortwithpytest, integration/E2E testing, and performancetesting

Whatwe'llbring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

  • A work environment built on teamwork, flexibility, and respect

  • Professional growth and development programs to help advance your career, as well as tuition reimbursement

  • Team Member Vehicle Purchase Discount.

  • Toyota Team Member Lease Vehicle Program (if applicable).

  • Comprehensive health care and wellness plans for your entire family

  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute

  • Paid holidays and paid time off

  • Referral services related to prenatal services, adoption, childcare, schools, and more

  • Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.


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