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Python Programmer Jobs in Katy, TX (NOW HIRING)

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

Collaborate with engineering peers through code reviews, technical documentation, and shared standards that raise code quality the team. Requirements Technical * Python: Production-grade Python 3.13 ...

Soni Resources

C++/Python Developer

Houston, TX · On-site

$250K/yr

We're seeking a C++ and Python Developer with risk awareness and an interest in commodities markets to serve as the key Houston-based representative , collaborating closely with the development team ...

Infosys LTD

Python AWS Developer

Houston, TX · On-site

$48 - $66.25/hr

Required Skill and Experience • Experience in Python 3.x and Python frameworks. • Experience with key AWS services like Compute: Lambda, ECS, Storage: S3. Preferred Skill and Experience • ...

Sumeru Solutions

Snowflake DBT Developer

Houston, TX · On-site

$80/hr

RH ID 683543 DBT Snowflake developer Location Houston TX Day 1 onsite Pay Rate $80/hr Client ... JavaScript, Java, .NET, Python, .JS, Airflow (Scheduled Job) - Python - Containers, OpenShift API ...

Addison Group

Forward Deployed AI Engineer

Houston, TX · On-site

$75 - $120/hr

You should be comfortable developing in Python and/or C#/.NET , using AI-assisted coding tools to ... Strong software engineering foundation using Python and/or C#/.NET . * Experience developing ...

Addison Group

Forward Deployed AI Engineer

Houston, TX · On-site

$75 - $120/hr

You should be comfortable developing in Python and/or C#/.NET , using AI-assisted coding tools to ... Strong software engineering foundation using Python and/or C#/.NET . * Experience developing ...

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Python Programmer information

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How much do python programmer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for python programmer in Katy, TX is $62.49, according to ZipRecruiter salary data. Most workers in this role earn between $57.36 and $66.15 per hour, depending on experience, location, and employer.

What is a Python programmer?

Python Programmers are software developers who specialize in writing code using the Python programming language. They design, develop, and maintain applications or systems, often working on tasks such as web development, data analysis, machine learning, automation, and scripting. Python Programmers need strong problem-solving skills and a good understanding of programming concepts. They often collaborate with other developers, data scientists, and stakeholders to build efficient and scalable solutions.

What do Python programmers do?

A Python programmer uses the programming language called Python to write code for various applications, including big data manipulation, web servers, program scripting, and more. In this career, the software allows you to program quicker using fewer lines, which creates an easy-to-read code. You can find work in web or game development, data visualization, and analyzing data, among others. Your job duties vary based on your specialization, but they usually include working with files and extensive support libraries, creating, testing and implementing new or updated applications, and examining the code to spot problems.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, understanding of algorithms, and a background in computer science or related fields. Familiarity with development tools like Git, testing frameworks such as PyTest, and experience with libraries like Django or Flask are typically required. Problem-solving ability, attention to detail, and effective teamwork are standout soft skills for this role. These skills ensure the development of reliable, scalable software solutions and smooth collaboration within technical teams.

What are some common challenges Python programmers face when working on large-scale projects, and how can they overcome them?

Python Programmers working on large-scale projects often encounter challenges such as managing code maintainability, optimizing performance, and coordinating with cross-functional teams. To address these, it’s essential to follow best practices like modular programming, using virtual environments, and employing version control systems such as Git. Regular code reviews and clear communication within the team help maintain code quality and ensure everyone is aligned. Leveraging frameworks and libraries effectively can also streamline development and reduce repetitive tasks.

What is the difference between Python Programmer vs Software Developer?

AspectPython ProgrammerSoftware Developer
Required CredentialsTypically a degree in Computer Science or related field; proficiency in PythonDegree in Computer Science or related; proficiency in multiple programming languages including Python
Work EnvironmentOften in tech companies, startups, or freelance projects focused on Python-based tasksIn various industries, working on full software solutions, often across multiple languages and platforms
Employer & Industry UsageTech firms, data analysis, automation projectsSoftware firms, IT departments, app development

While a Python Programmer specializes in Python coding, a Software Developer works on broader software solutions, often using multiple languages. Both roles require similar foundational skills, but Software Developers typically handle more comprehensive project responsibilities.

Are Python programmers in demand?

Python programmers are in high demand across various industries due to the language's versatility, ease of learning, and widespread use in data analysis, web development, and automation. Employers often seek candidates with skills in frameworks like Django or Flask and familiarity with tools such as Git and cloud platforms. The demand is expected to grow as Python continues to be a key language in emerging fields like artificial intelligence and machine learning.

Is Python Programmer still in demand in 2026?

Python programmers continue to be in high demand in 2026 due to the language's versatility in web development, data analysis, machine learning, and automation. Proficiency with frameworks like Django or Flask and knowledge of data science tools increase employability in various industries.
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Python Programmer jobs near you
Infographic showing various Python Programmer job openings in Katy, TX as of August 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,969 per year, or $62.5 per hour.

Senior Software Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$116K - $156K/yr

Full-time

Re-posted 10 days ago

Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and maintain the calculation logic, data flows and infrastructure that power ComboCurve's Economics engine. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building new features that make ComboCurve's platform even more powerful.
What You'll Do
  • Write efficient Python code on structured time series datasets that scales easily across cloud infrastructure.
  • Own features end-to-end-from scoping and design through implementation, deployment, and monitoring-working as an independent unit alongside our Product Manager.
  • Engage in software and infrastructure system design discussions, contributing to architectural decisions that shape the ComboCurve platform.
  • Build and maintain backend services and APIs in Python that are reliable, well-tested, and straightforward to extend.
  • Model, query, and optimize data in MongoDB-schema design, indexing, and aggregation pipelines-so product features stay fast as data grows.
  • Deploy and operate containerized services on cloud infrastructure, leveraging GCP components such as Cloud Run, Cloud Functions, and GCS.
  • Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code quality, and explore new product capabilities.
  • Collaborate with engineering peers through code reviews, technical documentation, and shared standards that raise code quality the team.

Requirements
Technical
  • Python: Production-grade Python 3.13+, type annotations and async/await as the default. No shortcuts on type safety.
  • API Design: Clean REST or gRPC services with OpenAPI contracts. Knows how to version and evolve APIs without breaking consumers.
  • Web Frameworks & Serving: Hands-on experience with Flask and/or FastAPI for building production services, and comfortable configuring Gunicorn for WSGI deployment.
  • Software Architecture Patterns: SOLID principles and clean architecture in practice. Designs decoupled, maintainable services that scale.
  • Data & Statistical Analysis: Comfortable working with structured datasets in Python using tools like pandas or numpy for basic statistical analysis, exploratory analysis, and deriving actionable insights from data.
  • Data Processing & Visualization: Able to process medium-to-large datasets efficiently and communicate findings clearly through simple visualizations or reports when needed.
  • SaaS Delivery: Proven track record taking features to production in cloud-based SaaS products. Comfortable with the full lifecycle from dev to deploy to monitor.
  • MongoDB: Schema design, indexing, and aggregation pipelines in production. ODM like MongoEngine or native driver, e.g. PyMongo.
  • Modern Dependency Management: Hands-on with uv or similar for fast package resolution and virtual environment handling.
  • Testing: Comprehensive pytest suites including fixtures, parameterization, and mocked external services.
  • Containerization: Docker and Docker Compose for local and production. Knows how to keep images lean.
  • Code Quality: Enforces standards via tools like ruff and pyright. Treats static analysis as a first-class concern.

Nice to Have
  • Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud Functions, and Cloud Storage.
  • AI Integration: Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features without needing to be an ML specialist.
  • Domain Knowledge: Experience in the oil and gas industry or a background in Petroleum Engineering; the context matters here and shapes better product decisions.

Workflow & Collaboration
  • Takes ownership end-to-end, from scoping to shipping to iterating.
  • Can translate ambiguous product requirements into concrete technical proposals.
  • Communicates tradeoffs clearly to both engineers and non-technical stakeholders.
  • Reviews code to raise quality and share context, not just approve.

While this is a fully remote position, there will be an in person New Hire Orientation.

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