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Contract Python Developer Google Jobs in Detroit, MI

Stefanini

Backend Developer

Dearborn, MI · On-site

... Google Cloud Platform, Cloud Infrastructure, Microservices, Java, Python Experience Required2 or ... Google Cloud Professional Cloud Developer certification.Familiarity with OpenAPI specification and ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

This role is ideal for an engineer who combines strong software engineering fundamentals with ... Skills RequiredSpring Boot, Python, Google Cloud Platform, SQL Skills PreferredGoogle Cloud ...

Stefanini Group

Full Stack Developer

Dearborn, MI

Spring Boot, Python, Google Cloud Platform, SQL Skills Preferred * GCP Cloud Run, Angular, Spring Boot, Big Query, AIPGEE Experience Required * 6+ years of software engineering experience, including ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

Spring Boot, Python, Google Cloud Platform, SQL Skills Preferred * GCP Cloud Run, Angular, Spring Boot, Big Query, AIPGEE Experience Required * 6+ years of software engineering experience, including ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

$61 - $66/hr

Spring Boot, Python, Google Cloud Platform, SQL Skills Preferred * GCP Cloud Run, Angular, Spring Boot, Big Query, AIPGEE Experience Required * 6+ years of software engineering experience, including ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

Spring Boot, Python, Google Cloud Platform, SQL Skills Preferred * GCP Cloud Run, Angular, Spring Boot, Big Query, AIPGEE Experience Required * 6+ years of software engineering experience, including ...

Apex Systems

ML Ops Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description ... Deep expertise in Google Cloud Platform (Google Cloud Platform) * Strong experience in ML Ops ...

Noblesoft Technologies

DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Role: DevOps Engineer Duration: Long - Term Location: Dearborn, MI - 4 days onsite in a week Local ... Experience working in a GCP (Google Cloud Platform) environment * Proficiency with Python

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

Duration: 12 month contract. Additional Information: Hybrid Position Currently 2-3 days a week, but ... Skills Required: · Code Assessment · GCP · Data Architecture · Endpoint Security · Google ...

HTC Global Services

DevOps Engineer - Senior

Dearborn, MI · On-site

$48.50 - $66.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... of Python experience. * 3+ years of Google Cloud Platform (Google Cloud Platform) experience. * Strong system engineering and administration experience in Linux and Windows. * Experience with ...

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Showing results 21-40

All JobsContract Python Developer Google JobsContract Python Developer Google Jobs in Detroit, MI

Contract Python Developer Google information

See Detroit, MI salary details

$13

$58

$85

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

As of Aug 19, 2026, the average hourly pay for contract python developer google in Detroit, MI is $58.03, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What does a contract Python developer do at Google?

A Contract Python Developer at Google is responsible for designing, developing, testing, and maintaining Python applications or scripts that support various projects and services. They typically work on a contract basis, contributing to short- or long-term initiatives, such as data analysis, automation, backend development, or integration tasks. Contract developers often collaborate with full-time engineers and other teams to deliver scalable and efficient solutions that meet Google's high standards. Their work may involve using Google Cloud Platform, APIs, and other internal tools to solve technical challenges.

How does a contract Python developer at Google typically integrate with permanent engineering teams?

As a Contract Python Developer at Google, you'll often work closely with permanent engineering teams on specific projects or to address particular skill gaps. Contractors are usually expected to quickly adapt to existing codebases and contribute to ongoing development cycles, collaborating through code reviews, stand-ups, and sprint planning. While you may not participate in long-term strategic planning, your input is valued in delivering high-quality, scalable solutions. Effective communication and the ability to onboard rapidly are key to success in this dynamic environment.

What are the key skills and qualifications needed to thrive as a contract Python developer at Google, and why are they important?

To thrive as a Contract Python Developer at Google, you need strong proficiency in Python programming, experience with software development lifecycles, and a relevant technical degree or equivalent experience. Familiarity with Google Cloud Platform (GCP), code versioning tools like Git, and frameworks such as Django or Flask is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These abilities ensure high-quality, scalable code delivery and smooth collaboration within dynamic, fast-paced engineering teams at Google.

What is the difference between Contract Python Developer Google vs Contract Python Engineer?

AspectContract Python Developer GoogleContract Python Engineer
Required CredentialsPython certification, relevant experience, possibly Google-specific toolsPython certification, general software engineering experience
Work EnvironmentGoogle's offices or remote, collaborative teams, fast-paced projectsVaries by employer, often remote or on-site, project-based
Industry UsagePrimarily in tech, cloud, and software servicesTech, finance, startups, and enterprise sectors
Search & Comparison IntentLooking for Google-specific contract roles involving PythonGeneral Python contract roles in various industries

Contract Python Developer Google typically involves working on Google's platforms with specific tools and environments, often requiring familiarity with Google Cloud. Contract Python Engineer is a broader role applicable across multiple industries, focusing on Python development without the Google-specific context. Both roles demand strong Python skills, but the Google role emphasizes familiarity with Google's ecosystem.

Does Google hire Contract Python developers?

Google does hire contract Python developers for various projects, often requiring strong programming skills, experience with Python frameworks, and familiarity with cloud environments. Contract roles may vary in duration and scope, and candidates typically need relevant technical expertise and sometimes security clearances. These positions are usually posted on Google's careers site or through staffing agencies.

What cities near Detroit, MI are hiring for Contract Python Developer Google jobs?

Cities near Detroit, MI with the most Contract Python Developer Google job openings:

Contract Python Developer Google jobs near you

Agentic AI Engineer -Auburn Hills, MI-2 days onsite : Contract on w2

Marvel Technologies Inc

Auburn Hills, MI • On-site

$58 - $62/hr

Contractor

Re-posted 3 days ago

Job description

Agentic AI/ML Engineer -Hybrid (Only w2 consultants)
Auburn Hills, MI-2 days onsite
12 months
 
Need 10+ plus years experience
 

We are seeking a highly skilled Senior Agentic AI Engineer to join our team and drive the development of cutting-edge autonomous AI systems. This role focuses on building sophisticated AI agents that can reason, plan, and execute complex tasks with minimal human intervention.
 
## Position Summary
As a Senior Agentic AI Engineer, you will design and implement intelligent agent systems using state-of-the-art frameworks and technologies. You'll work at the intersection of large language models, knowledge graphs, and distributed systems to create AI solutions that can autonomously handle complex workflows and decision-making processes.
 
## Key Responsibilities
**Agent Development & Architecture**
- Design and implement multi-agent systems using LangGraph for complex workflow orchestration
- Build autonomous AI agents capable of planning, reasoning, and task execution
- Develop agent communication protocols and coordination mechanisms
- Create robust error handling and recovery systems for agent workflows
 
**AI Infrastructure & Integration**
- Implement and optimize LangChain pipelines for agent reasoning and tool usage
- Design and maintain vector database solutions for knowledge retrieval and semantic search
- Build scalable data ingestion pipelines for structured and unstructured data
- Integrate Google Cloud AI services including Vertex AI, Gemini, and PaLM models
 
**Backend Development & APIs**
- Develop high-performance APIs using FastAPI for agent interaction and monitoring
- Implement real-time streaming capabilities for agent responses and status updates
- Build monitoring and observability systems for agent performance tracking
- Create robust authentication and authorization systems for agent access
**Data & Knowledge Management**
- Design and implement RAG (Retrieval-Augmented Generation) systems
- Optimize vector embeddings and similarity search algorithms
- Build knowledge graph integration for enhanced agent reasoning
- Implement efficient caching and data persistence strategies
 
## Required Technical Skills
**Core AI/ML Frameworks**
- Expert-level proficiency with LangGraph for agent workflow orchestration
- Deep experience with LangChain for LLM application development
- Hands-on experience with Google Cloud AI services (Vertex AI, Gemini, PaLM)
- Strong understanding of prompt engineering and LLM optimization techniques
**Data & Storage**
- Proficiency with vector databases (Pinecone, Weaviate, Chroma, or similar)
- Experience with traditional databases (PostgreSQL, MongoDB)
- Knowledge of data ingestion frameworks and ETL pipelines
- Understanding of embedding models and semantic search optimization
**Python Development**
- Advanced Python programming skills with 10+ years of experience
- Expert-level FastAPI development for building scalable APIs
- Proficiency with async/await patterns and concurrent programming
- Experience with Python ML libraries (NumPy, Pandas, scikit-learn)
- Knowledge of testing frameworks (pytest, unittest) and CI/CD practices
**Cloud & Infrastructure**
- Hands-on experience with Google Cloud Platform (GCP)
- Proficiency with containerization (Docker) and orchestration (Kubernetes)
- Experience with cloud storage solutions and data pipelines
- Understanding of microservices architecture and distributed systems
## Preferred Qualifications
 
**Additional Technical Skills**
- Experience with other agent frameworks (AutoGPT, CrewAI, TaskWeaver)
- Knowledge of graph databases (Neo4j, Amazon Neptune)
- Familiarity with streaming frameworks (Apache Kafka, Redis Streams)
- Experience with monitoring tools (Prometheus, Grafana, LangSmith)
**AI/ML Expertise**
- Understanding of transformer architectures and attention mechanisms
- Experience with fine-tuning and adapting large language models
- Knowledge of reinforcement learning for agent training
- Familiarity with multi-modal AI systems (vision, text, audio)
**Development Experience**
- Experience with frontend frameworks (React, Vue.js) for agent interfaces
- Knowledge of WebSocket programming for real-time applications
- Familiarity with message queues and event-driven architectures
- Experience with performance optimization and scalability challenges