ZipRecruiter

Log In

2

Remote Data Modeler Jobs in Michigan (NOW HIRING)

CSAA

$39.50 - $54.50/hr

... data models, SMART requirements) * Translate business requirements into functional design ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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 ...

Lthc

Manager, Data Platforms Admin

Dewitt, MI · On-site +1

Assists the IS Planning Manager in developing the corporate information systems model, identifying ... There may be opportunity for remote work within all jobs posted by the CDPHP Talent Acquisition ...

New

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 ...

next page

Showing results 1-20

All JobsData Modeler JobsRemote Data Modeler JobsRemote Data Modeler Jobs in Michigan

Remote Data Modeler information

See Michigan salary details

$9

$51

$72

How much do remote data modeler jobs pay per hour?

As of Jul 22, 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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $106,442 per year, or $51.2 per hour.
Senior Data Scientist ( Remote)

Senior Data Scientist ( Remote)

Cognizant Technology Solutions

Charlotte, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

42nd of 57 rated business consultants

Job description

Sr. Data Scientist
Serve as an Architect specializing in cloud native DevOps and ML Ops solutions using AWS developer tools, Terraform and Git in a hybrid work model. Design scalable automation for application delivery and machine learning workflows that enhance reliability, security and speed of software releases, supporting business innovation and positive societal impact through resilient digital platforms.
Responsibilities
-Design robust end to end cloud architectures that integrate AWS CodePipeline CodeDeploy CodeCommit CodeBuild and CloudFormation to deliver secure and highly automated application release workflows that improve deployment speed and quality across business critical systems.
-Define and implement standard patterns for infrastructure as code using Terraform and AWS CloudFormation enabling consistent reproducible and compliant environments that reduce manual effort and operational risk for development and operations teams.
-Develop efficient ML Ops architectures that streamline model training validation deployment and monitoring so that machine learning solutions move reliably from experimentation to production and deliver measurable value to customers and communities.
-Coordinate closely with application developers data scientists and operations teams to translate complex functional and nonfunctional requirements into practical cloud and DevOps designs that balance performance scalability security and cost efficiency.
-Establish and refine branching strategies and workflow conventions in Git repositories to maintain clean version control practices that support frequent changes traceability and collaboration in a hybrid work environment without disrupting delivery timelines.
-Optimize continuous integration and continuous delivery pipelines across multiple products by configuring automated builds tests security checks and approvals so that releases are predictable auditable and aligned with enterprise governance expectations.
-Create detailed architectural diagrams standards and documentation for cloud deployments pipelines and ML Ops processes ensuring that technical decisions are transparent reusable and easy to onboard for new team members and stakeholders.
-Evaluate existing delivery pipelines infrastructure configurations and ML workflows to identify bottlenecks and risks then propose pragmatic improvements that increase reliability resilience and resource efficiency across environments.
-Collaborate with platform security and compliance stakeholders to embed security by design in CodePipeline CodeDeploy and Terraform based solutions ensuring that encryption access controls and audit mechanisms protect sensitive data and services.
-Guide teams in effective use of AWS managed services and DevOps tooling by conducting design reviews sharing best practices and providing hands on support that helps project squads adopt automation and cloud capabilities with confidence.
-Monitor pipeline performance build times deployment success rates and ML model operational metrics then use data driven insights to tune architectures and processes for continuous improvement and sustainable long term operations.
-Contribute to enterprise wide reference architectures and reusable templates for AWS DevOps and ML Ops so that the organization scales innovation consistently and brings reliable digital solutions to market faster with reduced duplication of effort.
-Align architectural decisions with the company purpose and sustainability goals by favoring efficient resource usage resilient systems and ethical ML practices so that technology solutions positively impact clients employees and broader society.
Certifications Required
AWS Certified DevOps Engineer or AWS Certified Solutions Architect and Terraform certification preferred..
*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply-even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until Aug 12, 2026,
The annual salary for this position is between $ 90,000 - $ 135,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply