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Remote Python Jobs in Sugar Land, TX (NOW HIRING)

ComboCurve, Inc.

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

This role requires a unique combination of deep Python expertise, mastery of modern data processing and API frameworks, and a strong foundational understanding of mathematics, reasoning, and ...

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... Expertise in Python, TypeScript, Node.js, Java, Go, or similar backend technologies. Strong ...

LiteBridge

Data Engineer (Junior)

Houston, TX · Remote

Develop and maintain data pipelines using Foundry tools, SQL and Python. * Assist in creating and ... Flexible, remote work environment. * Placement with international clients upon certification.

Viking Recruiting Resources

SAP Basis Engineer

Houston, TX · Remote

$130K - $150K/yr

Our client is seeking a remote SAP Basis Engineer/Application Support Engineer. This is a full time ... Development experience with a high-level language such as python or java a plus * Experience with ...

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All JobsRemote Python JobsRemote Python Jobs in Sugar Land, TX

Remote Python information

See Sugar Land, TX salary details

$11

$52

$77

How much do remote python jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for remote 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 are Remote Python jobs?

Remote Python jobs are positions where you work primarily with the Python programming language but do so from a location outside of a traditional office, such as your home or another remote location. These jobs can include roles like software developer, data analyst, backend engineer, or machine learning engineer, all of which use Python for building applications, analyzing data, or automating tasks. Remote Python jobs are popular due to Python's versatility and the growing demand for flexible work arrangements in the tech industry.

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

To thrive as a Remote Python Developer, you need strong programming skills in Python, experience with software development life cycles, and a relevant degree or professional experience. Familiarity with tools like Git, Docker, cloud platforms (e.g., AWS), and frameworks such as Django or Flask is typically required, along with knowledge of remote collaboration tools like Slack and Jira. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote team integration and project delivery. These skills ensure efficient, high-quality code development, seamless teamwork, and the ability to meet project goals independently in a remote environment.

What Are Remote Jobs That Use Python?

Remote jobs that use Python focus on coding software and applications to meet the needs or business objectives of your employer. This may involve working with a database, customizing an existing application, or otherwise modifying software based on its expected environment. You can also find a few remote roles that allow you to teach Python instead of using it. Many remote jobs that use Python also involve coding in other common languages as necessary—Python may be the bulk of the work, but the ability to switch to other modes of programming as needed is essential for success in this field. As a remote employee or independent contractor, you may use virtual office software to coordinate with others, upload software into a central database for testing, or work odd hours to meet the needs of your client.

What is the difference between Remote Python vs Remote Data Analyst?

AspectRemote PythonRemote Data Analyst
Required SkillsPython programming, scripting, libraries (e.g., Pandas, NumPy)Data analysis, SQL, Excel, visualization tools
CertificationsPython certifications, data science coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, marketing, consulting firms
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, market research, reporting

Remote Python roles focus on coding, automation, and software development using Python, while Remote Data Analysts analyze data sets to generate insights. Both roles often work remotely and require analytical skills, but their core responsibilities and tools differ significantly.

How do Remote Python Developers typically collaborate and communicate with their teams?

Remote Python Developers often work closely with distributed teams using collaboration tools like Slack, Zoom, and GitHub. Clear communication and regular check-ins are essential for syncing on project requirements, code reviews, and troubleshooting. Developers are encouraged to document their code thoroughly and proactively update their progress to ensure smooth workflow across different time zones. This environment fosters independence and strong written communication skills, while also providing opportunities to participate in virtual standups, sprint planning, and peer programming sessions.
More about Remote 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 Remote Python jobs in Sugar Land, TX look for? The top searched job categories for Remote Python jobs in Sugar Land, TX are:
What cities near Sugar Land, TX are hiring for Remote Python jobs? Cities near Sugar Land, TX with the most Remote Python job openings:
Remote Python jobs near you
Infographic showing various Remote Python job openings in Sugar Land, TX as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $109,318 per year, or $52.6 per hour.
Senior Data Engineer, Python

Senior Data Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$109K - $131K/yr

Full-time

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 are seeking a highly analytical and experienced Senior Data Engineer to help optimize production forecasting and operations scheduling within the petroleum engineering domain. You'll bridge the gap between complex mathematical models (reservoir dynamics, optimization, logistics) and robust, cloud-scale data systems.
This role requires a unique combination of deep Python expertise, mastery of modern data processing and API frameworks, and a strong foundational understanding of mathematics, reasoning, and petroleum engineering principles.
Responsibilities
Data Architecture & Engineering
  • Design, build, and maintain scalable data pipelines for ingesting, transforming, and validating time-series data related to well performance, sensor readings, and operational logs.
  • Develop robust, high-performance data models using PyArrow and Pandas for efficient analysis and transfer.
  • Implement data quality and schema validation using Pydantic to ensure data integrity across all stages of the pipeline.
  • Manage and optimize data storage and retrieval in MongoDB, and integrate with cloud-native platforms like GCP BigQuery or Snowflake where applicable.

API & Application Development
  • Build, deploy, and maintain high-performance asynchronous microservices and prototypes using FastAPI or Flask to serve complex optimization and scheduling model predictions.
  • Use Postman for testing, documenting, and automating API workflows.
  • Containerize and orchestrate applications using Docker and manage deployment on Google Cloud Platform (GCP).

Quantitative Analysis & Optimization
  • Collaborate with reservoir and operations teams to translate complex scheduling and logistics problems into mathematical models (e.g., linear programming, resource allocation).
  • Implement numerical routines and simulations efficiently using NumPy for use in production environments.
  • Apply strong logical and analytical reasoning to debug, validate, and interpret the outputs of operational scheduling algorithms.

Requirements
  • Education: Bachelor's or Master's degree in Petroleum Engineering, Computer Science, Mathematics, Operations Research, or related quantitative field, or equivalent experience.
  • Quantitative Strength: Proven ability to work with mathematical modeling, optimization, and time-series analysis, including:

o Linear and Mixed-Integer Programming
o Probability and Statistics
o Algorithmic Complexity and Performance Reasoning
  • Collaborative mindset - experience working closely with data scientists, product owners, and domain experts to deliver production-ready systems.

Preferred Qualifications
  • Domain Expertise: Solid understanding of well operations, drilling logistics, production data, and scheduling workflows.
  • Experience working with large-scale or streaming datasets.
  • Experience with mathematical modeling and optimization libraries (SciPy, PuLP, OR-Tools).
  • Experience setting up CI/CD pipelines and container deployments on GCP.

Apply