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Remote Data Modeler Jobs in Michigan (NOW HIRING)

Wwwinc

Lead Azure Data Engineer

Rockford, MI · Remote

$91K - $120K/yr

... model, and defined service level agreements with business leadership. In addition to deep technical ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

Wolverine Worldwide

Lead Azure Data Engineer

Rockford, MI · Remote

$91K - $120K/yr

... model, and defined service level agreements with business leadership. In addition to deep technical ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

Troutman Pepper

Senior Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Work with data integration (ETL), data modeling, data quality, data governance, enterprise data ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Not by building the models, but by building the reliable, well-governed platform that Kobie ...

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Lead development of reusable frameworks, models, and IP that can be leveraged across client ...

CSAA

Implement formal modeling processes from end to end including data gathering, data profiling ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Remote Data Modeler information

See Michigan salary details

$9

$51

$72

How much do remote data modeler jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for remote data modeler in Michigan is $51.17, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $59.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Modeler position, and why are they important?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a typical day look like for a Remote Data Modeler?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a Remote Data Modeler job?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What are popular job titles related to Remote Data Modeler jobs in Michigan? For Remote Data Modeler jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Modeler jobs in Michigan look for? The top searched job categories for Remote Data Modeler jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Modeler jobs? Cities in Michigan with the most Remote Data Modeler job openings:
Remote Data Modeler jobs near you
Infographic showing various Remote Data Modeler job openings in Michigan as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,442 per year, or $51.2 per hour.
AI Data Scientist

AI Data Scientist

Strategic Staffing Solutions

Detroit, MI • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. AI Data Scientist Remote in EST/CST W2 contract role 6 Months then eligible for Contract renewal Role Overview The Advanced Analytics Hub team is looking to bring on board an Expert AI Data Scientist for an AI project as a Contractor. The objective of this project is to build an intelligent, agentic AI solution that provides material recommendations from SRM Material Catalogs at the point of purchase requisition, leveraging RAG and LLM-based capabilities.

Key Requirements: End-to-End Agentic RAG System Design - Proven experience designing and deploying production-grade RAG systems, including embeddings, vector search, and agent orchestration for multi-step reasoning workflows. LLM & GenAI Integration at Scale (with Agent Frameworks) - Hands-on expertise integrating LLMs into enterprise applications, including prompt engineering, tool usage, and experience with frameworks such as LangGraph/LangChain, Semantic Kernel, or AutoGen. Retrieval Quality, Evaluation & Optimization - Strong background in evaluation frameworks (precision/recall, grounding accuracy, hallucination detection) and optimization techniques (chunking, re-ranking, hybrid search).

MLOps & Productionalization - Experience deploying AI solutions at scale with CI/CD pipelines, model lifecycle management, monitoring, and cloud environments (Azure preferred). Strong ML & Statistical Foundation - Deep expertise in Python, ML/statistics, and experimentation with a focus on rigorous validation of model performance and business impact. Systems Thinking & Enterprise Integration - Ability to architect and integrate AI solutions within enterprise ecosystems (preferably SAP/SRM or similar procurement workflows).

Vector Databases & Retrieval Infrastructure - Hands-on experience with vector databases (e.g., Azure AI Search, Pinecone, FAISS) and optimization for real-time use cases. Core Engineering Best Practices - Strong proficiency in Python, Git, API development, and modern software engineering practices including CI/CD for ML systems. Experience running local models - we run local models on high compute servers on prem (500 GB RAM, 4 L40s GPUs, 64 cpu running on RHEL 9.7) before deploying the solution on cloud platform to save us the cloud cost during development *Beware of scams

S3 never asks for money during its onboarding process

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