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Contract Data Streaming Jobs in Michigan (NOW HIRING)

Contract * Lead end-to-end Oracle EBS and Cloud Financials implementations * Manage multiple project streams, timelines, and deliverables * Drive fit-gap analysis, data conversion, and solution ...

ML Ops Engineer

Dearborn, MI ยท On-site

$48.50 - $66.50/hr

ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description ... Design and develop data products leveraging both streaming and batch ingestion patterns on Google ...

Senior AI Context Engineer

Grand Rapids, MI ยท Hybrid

$134K - $179K/yr

Develop and enforce data contracts, metadata standards, and semantic governance frameworks across domains. * Engineer scalable batch and real-time streaming data pipelines in a modern cloud ...

Senior AI Context Engineer

Grand Rapids, MI ยท Hybrid

$134K - $179K/yr

Develop and enforce data contracts, metadata standards, and semantic governance frameworks across domains. * Engineer scalable batch and real-time streaming data pipelines in a modern cloud ...

Directors, AIG

Troy, MI

$180K - $225K/yr

Manufacturing and Contract Manufacturing; Business Unit and Operational Transformation; Direct ... Apply superior analytic skills to synthesize meaningful insights from data, opinions, or facts ...

Directors, AIG

Troy, MI ยท On-site

$180K - $225K/yr

Manufacturing and Contract Manufacturing; Business Unit and Operational Transformation; Direct ... Apply superior analytic skills to synthesize meaningful insights from data, opinions, or facts ...

Grants Accountant

Lansing, MI ยท On-site

$62K - $71K/yr

... streams. * Lead the financial closeout process for expiring grants and contracts, ensuring all ... Maintains meticulous precision in all aspects of financial reporting, data analysis, and regulatory ...

Grants Accountant

Lansing, MI ยท On-site

$62K - $71K/yr

... streams. * Lead the financial closeout process for expiring grants and contracts, ensuring all ... Maintains meticulous precision in all aspects of financial reporting, data analysis, and regulatory ...

Showing results 21-40

Contract Data Streaming information

What are the typical daily responsibilities of someone working in Contract Data Streaming?

Professionals in Contract Data Streaming typically manage and monitor data pipelines that deliver real-time contract information to clients or internal stakeholders. Their daily tasks often include troubleshooting data flow issues, optimizing streaming processes for efficiency, and ensuring data integrity and compliance with relevant standards. They collaborate closely with software engineers, data analysts, and legal teams to ensure that the contract data is accurate, up-to-date, and securely transmitted. Additionally, they may participate in meetings to discuss improvements to data infrastructure and address any technical challenges that arise.

What is a Contract Data Streaming professional?

A Contract Data Streaming professional is responsible for managing and facilitating the flow of real-time data between different systems or organizations, typically through contractual agreements. Their work involves ensuring that data streams are delivered efficiently, securely, and in compliance with agreed-upon terms. They often work with streaming technologies such as Kafka, Apache Flink, or AWS Kinesis, and may also handle monitoring, troubleshooting, and optimizing data pipelines. These professionals play a crucial role in industries where timely and accurate data delivery is essential, such as finance, media, or telecommunications.

What is the difference between Contract Data Streaming vs Data Engineer?

AspectContract Data StreamingData Engineer
CredentialsTypically requires data streaming certifications, SQL, and cloud platform knowledgeRequires degrees in computer science or related fields, plus data management certifications
Work EnvironmentProject-based, often freelance or temporary roles focused on streaming data pipelinesFull-time, in-house or consulting roles managing data infrastructure
Industry UsageCommon in finance, tech, and e-commerce sectors for real-time data processingUsed across various industries for building and maintaining data systems

Contract Data Streaming roles focus on implementing real-time data pipelines, often on a temporary basis, requiring specific streaming platform knowledge. Data Engineers build and maintain comprehensive data infrastructure, with broader responsibilities and credentials. Both roles are vital in data-driven industries but differ in scope and employment type.

What are the key skills and qualifications needed to thrive as a Contract Data Streaming Specialist, and why are they important?

To thrive as a Contract Data Streaming Specialist, you need expertise in real-time data processing, analytics, and a solid understanding of networking protocols and data management, typically supported by a degree in computer science or a related field. Familiarity with data streaming platforms like Apache Kafka, AWS Kinesis, or Azure Event Hubs, along with relevant certifications, is essential. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies are crucial for ensuring reliable, secure, and efficient data delivery in dynamic business environments.
What are the most commonly searched types of Data Streaming jobs in Michigan? The most popular types of Data Streaming jobs in Michigan are:
What cities in Michigan are hiring for Contract Data Streaming jobs? Cities in Michigan with the most Contract Data Streaming job openings:
Infographic showing various Contract Data Streaming job openings in Michigan as of July 2026, with employment types broken down into 60% Full Time, 22% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Agentic AI Engineer -Auburn Hills, MI-2 days onsite : Contract on w2

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

Marvel Technologies Inc

Auburn Hills, MI โ€ข On-site

$58 - $62/hr

Contractor

Posted 7 days ago


Job description

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