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Python Software Engineer Jobs in Dallas, TX (NOW HIRING)

Motion Recruitment

Sr. Python Software Engineer

Irving, TX · Hybrid

$112K - $151K/yr

... Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. * 5+ years python ...

New

Endygo

Python Software Developer

Arlington, TX · On-site

$45.25 - $62.25/hr

We are looking for a Python Developer to lead our programming efforts and help us develop and maintain our internal and proprietary ERP. The developer responsibilities include writing and testing ...

Endygo

Python Software Developer

Arlington, TX · On-site

$45.25 - $62.25/hr

We are looking for a Python Developer to lead our programming efforts and help us develop and maintain our internal and proprietary ERP. The developer responsibilities include writing and testing ...

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All JobsPython Software Engineer JobsPython Software Engineer Jobs in Dallas, TX

Python Software Engineer information

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$22.8K

$138.5K

$200.3K

How much do python software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for python software engineer in Dallas, TX is $138,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $162,700.00 per year, depending on experience, location, and employer.

What is a Python software engineer?

A Python Software Engineer is a developer who designs, develops, and maintains software applications using the Python programming language. They work on a variety of tasks, including writing clean and efficient code, debugging, optimizing performance, and integrating third-party services or APIs. Python engineers often collaborate with teams to build web applications, data pipelines, machine learning models, or automation scripts, depending on the industry. Their role requires strong problem-solving skills and familiarity with software development best practices.

What does a Python software engineer do?

A typical workday for a Python Software Engineer involves writing and testing code, participating in team meetings to plan and review tasks, and collaborating with colleagues such as front-end developers, quality assurance engineers, and project managers. You may spend time troubleshooting bugs, reviewing pull requests, and improving existing software modules. Many teams use Agile or Scrum methodologies, so your day may include short stand-up meetings and iterative development cycles. Depending on the company, you might also have opportunities to contribute to design discussions or mentor junior developers.

What skills and qualifications are needed to be a Python software engineer?

To thrive as a Python Software Engineer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and a relevant degree in computer science or related fields. Experience with frameworks like Django or Flask, familiarity with version control systems such as Git, and optional certifications like PCEP or PCAP can be valuable assets. Problem-solving skills, teamwork, and effective communication help you navigate complex projects and collaborate efficiently. Mastering both technical and soft skills is crucial for building reliable software solutions and succeeding in dynamic development teams.

Are Python Software Engineers in demand?

Python Software Engineers are in high demand across various industries due to Python's versatility in web development, data analysis, machine learning, and automation. Employers seek professionals with strong programming skills, experience with frameworks like Django or Flask, and knowledge of data tools, making it a valuable skill set for many tech roles.

Can I be a Python Software Engineer with Python?

Yes, Python is the primary programming language used by Python Software Engineers. Proficiency in Python, along with knowledge of related tools like version control systems and frameworks, is essential for this role. Typically, a bachelor's degree in computer science or a related field and experience with software development are also required.

How much do Python software engineers make?

Python software engineers' salaries vary based on experience, location, and industry, but the median annual salary in many regions ranges from $80,000 to $130,000. Senior roles or those with specialized skills in frameworks like Django or data analysis can earn higher compensation, often exceeding $150,000 annually.

What are the most commonly searched types of Python Software Engineer jobs in Dallas, TX?

The most popular types of Python Software Engineer jobs in Dallas, TX are:

What are popular job titles related to Python Software Engineer jobs in Dallas, TX?

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

What job categories do people searching Python Software Engineer jobs in Dallas, TX look for?

The top searched job categories for Python Software Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Python Software Engineer jobs?

Cities near Dallas, TX with the most Python Software Engineer job openings:

Python Software Engineer jobs near you
Infographic showing various Python Software Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $138,464 per year, or $66.6 per hour.

Python Software Engineer

Shree Narayani Networking Solutions LLC

Dallas, TX • On-site

Other

Posted 3 days ago

New

Job description

We are looking for an experienced Python Software Engineer to design, develop, and maintain scalable, high-performance software solutions. The ideal candidate should have strong hands-on expertise in Python development, backend engineering, API development, cloud technologies, and modern software engineering practices.

Key Responsibilities

  • · Design, develop, test, and maintain scalable applications and backend services using Python.
  • · Build robust and reusable components, APIs, microservices, and integrations.
  • · Develop RESTful APIs and integrate with internal and external systems.
  • · Write clean, maintainable, well-tested, and production-ready code.
  • · Troubleshoot complex technical issues and optimize application performance.
  • · Work with databases, data models, caching, and asynchronous processing.
  • · Implement secure coding practices, authentication, authorization, and API security.
  • · Collaborate with Product Managers, Architects, DevOps, QA, and other engineering teams.
  • · Participate in code reviews, technical design discussions, and architecture decisions.
  • · Develop automated unit, integration, and functional tests.
  • · Work with CI/CD pipelines and modern DevOps practices.
  • · Monitor applications in production and support troubleshooting and root-cause analysis.
  • · Contribute to technical documentation and engineering best practices.

Required Skills

  • · Advanced proficiency in Python with strong knowledge of Python 3.x.
  • · Strong understanding of object-oriented programming, data structures, algorithms, and design patterns.
  • · Experience with Python frameworks such as FastAPI, Flask, or Django.
  • · Strong experience developing REST APIs and microservices.
  • · Good understanding of SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
  • · Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis is preferred.
  • · Strong knowledge of Git and version-control practices.
  • · Experience with unit testing frameworks such as PyTest or unittest.
  • · Knowledge of asynchronous programming using asyncio and related Python frameworks.
  • · Experience with Docker and containerized application development.
  • · Understanding of CI/CD and DevOps practices.
  • · Strong debugging, problem-solving, and performance-optimization skills.

Core expectations (must have exposure across all):

  • Software engineering: Proficiency in Python (preferred) or Java, with solid fundamentals (clean coding, testing, APIs, debugging, performance, and maintainability).
  • Cloud engineering: Working knowledge of at least one public cloud provider—AWS preferred—including hands-on familiarity with deploying/running services, IAM/security basics, logging/monitoring, and common managed services.
  • AI/ML exposure: Practical exposure to AI/ML concepts and workflows (e.g., model integration patterns, basic ML lifecycle understanding, evaluation basics), sufficient to ramp into agent development with minimal hand-holding.

Preferred experience (strong differentiators):

  • Hands-on experience integrating with frontier model APIs (e.g., OpenAI or similar), including prompt design, tool/function calling, streaming, and reliability/cost considerations.
  • Familiarity with advanced agent architecture concepts such as memory, guardrails/assurance, and MCP (Model Context Protocol) or similar patterns for tool interoperability.
  • Experience with conversational/agent frameworks or platforms, such as LangGraph, CrewAI, Rasa, Decagon, or equivalent orchestration frameworks, including building multi-step workflows and tool-based agents

Education & Experience

  • · Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
  • · Typically 5+ years of software engineering experience, with strong hands-on Python development experience.
  • · Experience working in Agile/Scrum development environments.
  • · Strong communication and collaboration skills.
  • · Ability to independently analyze complex technical problems and deliver scalable solutions.

Nice to Have

  • · Experience designing highly scalable distributed systems.
  • · Knowledge of system design and software architecture.
  • · Experience with event-driven and asynchronous architectures.
  • · Experience in financial services, enterprise applications, or other large-scale environments.
  • · Exposure to security, observability, and performance engineering

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