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Python Jobs in Sugar Land, TX (NOW HIRING)

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

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 ...

eTeam

Senior Python AWS Developer

Houston, TX · On-site

$116K - $156K/yr

Job Summary : eTeam is seeking a Senior Python AWS Developer to collaborate with business and other teams to understand requirements and deliver project outcomes. This role involves participating in ...

Bank of America

Python Developer III

Houston, TX · On-site

$90 - $140/hr

Strong proficiency in Python development. * Experience developing enterprise applications on Quartz or similar distributed computing platforms (Athena or SecDB) * Strong understanding of object ...

Infosys Limited

Python/AWS Architect

Houston, TX · On-site

$140 - $190/hr

Technology|OpenSystem|Python - OpenSystem Technical Skills 2 Technology|Cloud Platform|AWS Core services Technical Skills 3 Technical Skills 4 Technology|AI Engineering|AI/ML Solution Architecture ...

New

Infosys

Python/AWS Architect

Houston, TX · On-site

Required Skill and Experience • Experience in Python based architecture and lead the delivery of scalable, resilient, and cloud-native solutions aligned with business and technology objectives • ...

JP Morgan Chase

Lead Software Engineer - Python

Houston, TX · On-site

$133K - $164K/yr

Develop secure, reliable, and scalable backend services, APIs, automation frameworks, user interfaces, and orchestration workflows using technologies such as Python, React, Django, Ansible, Terraform ...

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How much do python jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python in Sugar Land, TX is $52.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.32 and $59.71 per hour, depending on experience, location, and employer.

What is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What are the key skills and qualifications needed to thrive as a Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

Can I get a job with just Python?

A Python developer role typically requires proficiency in Python programming, along with knowledge of related tools like frameworks, libraries, and version control. While Python skills are essential, employers often prefer candidates with experience in problem-solving, data structures, and sometimes additional skills such as databases or web development. Certifications or practical projects can also enhance job prospects, but having only Python may limit opportunities for more advanced or specialized positions.

Does Python have good job opportunities?

Python developers have strong job prospects across various industries such as technology, finance, and data science. Proficiency in frameworks like Django or Flask and knowledge of data analysis tools can enhance employability, with many roles requiring experience in version control and problem-solving skills.

What jobs can I do with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity specialist. These jobs often require knowledge of frameworks, libraries, and tools like Django, Flask, Pandas, and TensorFlow, and may involve working in teams or on specific platforms. Python skills are valuable across industries such as technology, finance, healthcare, and research.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.
More about Python jobs

What are the most commonly searched types of Python jobs in Sugar Land, TX?

The most popular types of Python jobs in Sugar Land, TX are:

What job categories do people searching Python jobs in Sugar Land, TX look for?

The top searched job categories for Python jobs in Sugar Land, TX are:

What cities near Sugar Land, TX are hiring for Python jobs?

Cities near Sugar Land, TX with the most Python job openings:

Python jobs near you
Infographic showing various Python job openings in Sugar Land, TX as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 7% Part Time, and 7% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $109,318 per year, or $52.6 per hour.

Senior Software Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$116K - $156K/yr

Full-time

Re-posted 24 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
  1. Write efficient Python code on structured time series datasets that scales easily across cloud infrastructure.
  1. Own features end-to-end-from scoping and design through implementation, deployment, and monitoring-working as an independent unit alongside our Product Manager.
  1. Engage in software and infrastructure system design discussions, contributing to architectural decisions that shape the ComboCurve platform.
  1. Build and maintain backend services and APIs in Python that are reliable, well-tested, and straightforward to extend.
  1. Model, query, and optimize data in MongoDB-schema design, indexing, and aggregation pipelines-so product features stay fast as data grows.
  1. Deploy and operate containerized services on cloud infrastructure, leveraging GCP components such as Cloud Run, Cloud Functions, and GCS.
  1. Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code quality, and explore new product capabilities.
  1. Collaborate with engineering peers through code reviews, technical documentation, and shared standards that raise code quality the team.

Requirements
Technical
  1. Python: Production-grade Python 3.13+, type annotations and async/await as the default. No shortcuts on type safety.
  1. API Design: Clean REST or gRPC services with OpenAPI contracts. Knows how to version and evolve APIs without breaking consumers.
  1. Web Frameworks & Serving: Hands-on experience with Flask and/or FastAPI for building production services, and comfortable configuring Gunicorn for WSGI deployment.
  1. Software Architecture Patterns: SOLID principles and clean architecture in practice. Designs decoupled, maintainable services that scale.
  1. 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.
  1. Data Processing & Visualization: Able to process medium-to-large datasets efficiently and communicate findings clearly through simple visualizations or reports when needed.
  1. 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.
  1. MongoDB: Schema design, indexing, and aggregation pipelines in production. ODM like MongoEngine or native driver, e.g. PyMongo.
  1. Modern Dependency Management: Hands-on with uv or similar for fast package resolution and virtual environment handling.
  1. Testing: Comprehensive pytest suites including fixtures, parameterization, and mocked external services.
  1. Containerization: Docker and Docker Compose for local and production. Knows how to keep images lean.
  1. Code Quality: Enforces standards via tools like ruff and pyright. Treats static analysis as a first-class concern.

Nice to Have
  1. Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud Functions, and Cloud Storage.
  1. AI Integration: Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features without needing to be an ML specialist.
  1. 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
  1. Takes ownership end-to-end, from scoping to shipping to iterating.
  1. Can translate ambiguous product requirements into concrete technical proposals.
  1. Communicates tradeoffs clearly to both engineers and non-technical stakeholders.
  1. 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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