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Senior Data Modeler Jobs in Michigan (NOW HIRING)

Senior Data Engineer

Dearborn, MI · On-site

$97K - $132K/yr

Job Title: Senior Data Engineer Overview We are seeking an experienced Senior Data Engineer to ... Strong understanding of data warehousing concepts, data modeling (dimensional and relational), and ...

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... You will use your knowledge of the product driven operating model, analytic and software delivery ...

Sr Data Engineer in Lansing MI Hybrid

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Location: Lansing, MI (Hybrid Local Candidates Only) Duration: 1+ Year ... Design scalable data models that support enterprise reporting and analytical capabilities. * Ensure ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Guide business users on model assumptions, limitations, and best practices. * Coach and mentor ...

Data Analyst

Brooklyn, MI · On-site

$80/hr

Brooklyn, NY 11201 The Senior Data Analyst with ETL Expertise shall provide Client Data Management ... Ability to develop complex SQL data validations based on STTMs and target data Models. Excellent ...

$104K - $125K/yr

As a Senior Data Engineer, you will design, build, optimize, and maintain scalable data pipelines ... modeling, relational databases, data warehouses, data lakes, or lakehouse environments ...

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Job Type Full-time Description SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer ... Some experience building AI/ML systems - finetuning models and preparing datasets, agentic system ...

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Description SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer/Software Developer Orbion ... Some experience building AI/ML systems - finetuning models and preparing datasets, agentic system ...

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Description: SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer/Software Developer ... Some experience building AI/ML systems - finetuning models and preparing datasets, agentic system ...

Senior Data Engineer

Wyoming, MI · Hybrid

$96K - $130K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake ... Highly experienced in understanding and developing complex data models * Knowledge of data ...

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Senior Data Product Manager Dearborn, MI( Hybrid 4days onsite 1day remote) W2 Position Description ... Strong understanding of data warehousing, data modeling, ETL/ELT processes, and cloud data ...

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines ... The systems you build are the foundation every model and every operational decision depends on. The ...

Showing results 41-60

Senior Data Modeler information

See Michigan salary details

$31

$58

$73

How much do senior data modeler jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for senior data modeler in Michigan is $58.92, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $66.83 per hour, depending on experience, location, and employer.

What does a senior data modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

How does a senior data modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

What are the key skills and qualifications needed to thrive as a senior data modeler?

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.
What are the most commonly searched types of Data Modeler jobs in Michigan? The most popular types of Data Modeler jobs in Michigan are:
What are popular job titles related to Senior Data Modeler jobs in Michigan? For Senior Data Modeler jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Data Modeler jobs in Michigan look for? The top searched job categories for Senior Data Modeler jobs in Michigan are:
What cities in Michigan are hiring for Senior Data Modeler jobs? Cities in Michigan with the most Senior Data Modeler job openings:
What are popular job titles related to Senior Data Modeler jobs in MI? For Senior Data Modeler jobs in MI, the most frequently searched job titles are:
Infographic showing various Senior Data Modeler job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $122,564 per year, or $58.9 per hour.

Senior Data Engineer

HTC Global Services

Dearborn, MI • On-site

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Job Title: Senior Data Engineer
Overview
We are seeking an experienced Senior Data Engineer to design, develop, test, and maintain scalable data solutions that support business and customer needs. This role is responsible for designing data architectures, building robust data pipelines, optimizing large-scale data systems, and collaborating with cross-functional teams throughout the software development lifecycle.
Key Responsibilities
  • Design, develop, test, and maintain scalable software applications and data solutions.
  • Engage with stakeholders to understand business requirements and translate them into effective technical solutions.
  • Design and implement scalable data architectures, including data warehouses, data lakes, and streaming platforms.
  • Develop, maintain, and optimize ETL/ELT pipelines for processing large volumes of data from multiple sources.
  • Assess application requirements and determine appropriate technology stacks, deployment strategies, and integration methods.
  • Create high-level software architecture designs, including system components and interfaces.
  • Collaborate with product owners, architects, designers, and cross-functional teams.
  • Define and implement software testing strategies, policies, and processes.
  • Improve application performance and development efficiency by adopting new technologies and best practices.
  • Apply modern software engineering practices, including test-driven development, continuous integration, and continuous delivery.
  • Support security practices to protect data through encryption and anonymization.
  • Develop user-friendly interfaces where applicable.
  • Develop and maintain backend services, APIs, and microservices.
  • Evaluate emerging technologies and contribute to continuous improvement initiatives.
  • Ensure data integrity, quality, scalability, and performance across all data pipelines.

Required Qualifications
  • Bachelor's degree.
  • 5+ years of progressive experience in Data Engineering or a related field with a strong focus on large-scale data systems.
  • Expert proficiency in Python or Scala.
  • Advanced SQL skills, including complex querying, data manipulation, and database design.
  • Experience with big data technologies such as Apache Spark, Hadoop, Kafka, and Flink.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP) and their associated data services.
  • Strong understanding of data warehousing concepts, data modeling (dimensional and relational), and ETL/ELT processes.
  • Experience with NoSQL databases.
  • Experience with Kubernetes, Docker, and cloud infrastructure technologies.
  • Experience with version control systems such as Git.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication and interpersonal skills with the ability to present technical information clearly.

Preferred Skills
  • GitHub
  • Machine Learning

Technical Skills
  • Python
  • Java
  • SQL
  • Apache Spark
  • Apache Hadoop
  • Kafka
  • BigQuery
  • Google Cloud Platform (GCP)
  • Kubernetes
  • Docker
  • NoSQL
  • Cloud Architecture
  • Data Architecture
  • Cloud Infrastructure
  • Big Data
  • Data Management

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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