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Remote Python Automation Engineer Jobs in Stafford, TX

Senior Software Engineer, Python

Houston, TX ยท On-site +1

$116K - $156K/yr

We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and ... While this is a fully remote position, there will be an in person New Hire Orientation.

... a modern, automation-driven environment. You should have a strong grasp of threat modeling ... Strong proficiency with Python and REST APIs for interacting with EDR/SIEM platforms and automating ...

SAP Basis Engineer

Houston, TX ยท Remote

$130K - $150K/yr

Our client is seeking a remote SAP Basis Engineer/Application Support Engineer. This is a full time ... Experience with configuration management and automation tools * Familiarity with agile engineering ...

... a modern, automation-driven environment. You should have a strong grasp of threat modeling ... using Python and REST APIs. This is an opportunity to contribute to a mature detection pipeline ...

... basic automation (understanding of what can be automated in a data center) Soft Skills: * ability to work with all business units from co-developers, Dynatrace directly, to leadership * If remote ...

... automation (understanding of what can be automated in a data center) Soft Skills: ability to work with all business units from co-developers, Dynatrace directly, to leadership If remote, able to ...

Autodesk Inventor Expert - Remote

Houston, TX ยท On-site +1

$30 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

Autodesk Inventor Expert - Remote

Houston, TX ยท On-site +1

$30 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

Directly build and deliver 2-3 automation use cases per year with business teams (HR, Legal ... Strong Python skills; ability to own full solution delivery from prototype to production * Solid ...

Autodesk Fusion 360 Expert - Remote

Houston, TX ยท On-site +1

$40 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation or scripting using Python, iLogic, NX Open, VBA, or similar tools

Showing results 21-40

Remote Python Automation Engineer information

See Stafford, TX salary details

$20K

$121.9K

$176.3K

How much do remote python automation engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote python automation engineer in Stafford, TX is $121,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $143,200.00 per year, depending on experience, location, and employer.

What is a remote Python automation engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

What are the key skills and qualifications needed to thrive as a remote Python automation engineer?

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.

How does a remote Python automation engineer typically collaborate with cross-functional teams in a remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What job categories do people searching Remote Python Automation Engineer jobs in Stafford, TX look for?

The top searched job categories for Remote Python Automation Engineer jobs in Stafford, TX are:

What cities near Stafford, TX are hiring for Remote Python Automation Engineer jobs?

Cities near Stafford, TX with the most Remote Python Automation Engineer job openings:

Infographic showing various Remote Python Automation Engineer job openings in Stafford, TX as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $121,858 per year, or $58.6 per hour.

Senior Software Engineer, Python

ComboCurve, Inc.

Houston, TX โ€ข On-site, Remote

$116K - $156K/yr

Full-time

Re-posted 23 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.