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Summer Python Developer Google Jobs in Cypress, TX

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and ... Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud ...

Jobtailor

AI Engineer, Advanced English

Houston, TX · On-site

Google Agent Development Kit (ADK) - Expert * Python - Expert * English - C1 * Ability to work independently in fast-paced environments * Ability to align with PMs and cross-functional engineering ...

New

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$117K - $154K/yr

Improve CI/CD pipelines, testing practices, and developer experience across the platform. * Partner ... Google Cloud Platform: Proven track record deploying and managing services on GCP, specifically ...

Deloitte

Cyber - Google SecOps - Manager

Houston, TX · On-site

As a Google SecOps Manager supporting Google SecOps engagements, you will contribute to high ... engineering, and security operations center workflows * Experience with Python scripting and ...

Jobtailor

Senior AI Engineer

Houston, TX · On-site

$117K - $154K/yr

Strong proficiency with cloud environments, preferably Google Cloud Platform (GCP); experience with AWS or Azure also considered * Advanced experience with Python, APIs, SQL, system design, DevOps ...

Skillify Solutions

Python/R Analyst

Richmond, TX · On-site

Collaborate with business stakeholders, data engineers, and technical teams to understand ... Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform . * Experience with ...

Virtuous Tech Inc

DevOps Engineer(W2 Contract)

Houston, TX · On-site

$50.25 - $69/hr

Strong experience with AWS, Azure, or Google Cloud Platform * CI/CD pipelines using Jenkins, GitHub ... Automation using Python, Shell, or PowerShell * Monitoring and logging tools * Cloud infrastructure ...

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Summer Python Developer Google information

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How much do summer python developer google jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for summer python developer google in Cypress, TX is $50.49, according to ZipRecruiter salary data. Most workers in this role earn between $41.63 and $57.36 per hour, depending on experience, location, and employer.

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

What are popular job titles related to Summer Python Developer Google jobs in Cypress, TX?

For Summer Python Developer Google jobs in Cypress, TX, the most frequently searched job titles are:

What job categories do people searching Summer Python Developer Google jobs in Cypress, TX look for?

The top searched job categories for Summer Python Developer Google jobs in Cypress, TX are:

Summer Python Developer Google jobs near you
Infographic showing various Summer Python Developer Google job openings in Cypress, TX as of June 2026, with employment types broken down into 1% Internship, 90% Full Time, 2% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $105,028 per year, or $50.5 per hour.

Senior Software Engineer, Python

Houston, TX • On-site, Remote

ComboCurve, Inc.
Oil and Gas Extraction • 11 - 50 employees
Learn more about ComboCurve, Inc.external

$116K - $156K/yr

Full-time

Re-posted 14 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.

Apply