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Data Integration Jobs in Michigan (NOW HIRING)

Select Minds LLC

Data Architect II

Lansing, MI · On-site

$55 - $60/hr

Required Skills and Experience - Strong experience architecting MDM and Data Warehouse solutions. - Experience with Business Intelligence, Data Management, and data integration technologies. - Hands ...

select minds

Data Architect II

Lansing, MI · On-site

$55 - $60/hr

Required Skills and Experience - Strong experience architecting MDM and Data Warehouse solutions. - Experience with Business Intelligence, Data Management, and data integration technologies. - Hands ...

Acrisure

Integration Specialist

Grand Rapids, MI

The Integration Specialistis responsible fordesigning, developing, andmaintainingapplication and data integrations across systems, APIs, and services. This role collaborates with business and IT ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

We work on innovative technologies - understanding and inventing modern designs and integration patterns along the way. Our Data Engineers must - * You will assemble large, complex data sets that ...

Horizontal Talent

Data Modeler

Sterling Heights, MI · Remote

$51 - $66/hr

Support data integration across systems and assist with reverse engineering existing databases when needed. * Document data architecture changes, perform impact analysis, and support configuration ...

New

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

Experience with ETL/ELT tools such as Apache Airflow, DataFlow/DataProc, or Qlik Data Integration. * Data Modeling: Experience with data modeling techniques (e.g., relational modeling, dimensional ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

We work on innovative technologies - understanding and inventing modern designs and integration patterns along the way. Our Data Engineers must - * You will assemble large, complex data sets that ...

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How much do data integration jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data integration in Michigan is $45.05, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $50.72 per hour, depending on experience, location, and employer.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management, ETL tools, and programming languages like SQL, Python, or Java is essential, along with knowledge of database systems and data warehousing. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can enhance job prospects.

What are the most commonly searched types of Data Integration jobs in Michigan?

The most popular types of Data Integration jobs in Michigan are:

What are popular job titles related to Data Integration jobs in Michigan?

For Data Integration jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Integration jobs in Michigan look for?

The top searched job categories for Data Integration jobs in Michigan are:

Data Integration jobs near you
Infographic showing various Data Integration job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,697 per year, or $45 per hour.

Engineering Manager, Data Platform and Governance

Canopy

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Hilton Grand Vacations rating

6.8

Company rating: 6.8 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

8th of 21 rated holiday rentals

Job description

We are seeking an Engineering Manager, Data Platform & Governance to lead the development of our data capabilities and governance practices across connected security products and cloud services. This role will be responsible for defining and executing our data strategy, building scalable data platforms and analytics capabilities, and establishing the governance, privacy, and compliance foundations required to support a growing connected-product ecosystem. The ideal candidate combines strong engineering leadership with deep expertise in data architecture, analytics, governance, and cloud technologies.
As part of a fast-moving organization focused on AI-powered vehicle security solutions, this leader will partner closely with Product, Software Engineering, AI/ML, Security, Legal, and our parent company's digital teams to ensure that data is accurate, trusted, secure, and actionable. They will help transform data generated from connected devices, cloud services, customer interactions, and AI systems into insights that drive product innovation, operational excellence, and business growth. This is a highly cross-functional role with significant influence on our data strategy, technology roadmap, compliance posture, and future initiatives.
Responsibilities:
  • Define and execute the company's data platform, analytics, and governance strategy.
  • Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows.
  • Establish technical roadmaps, architecture standards, and best practices for data systems and services.
  • Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth.
  • Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes.
  • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions.
  • Establish data quality, observability, lineage, cataloging, and reliability practices.
  • Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams.
  • Develop and maintain enterprise data governance policies, standards, and operating procedures.
  • Define data ownership, stewardship, retention, classification, and lifecycle management processes.
  • Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations.
  • Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data.
  • Establish auditability, data access controls, and governance processes for AI and analytics workloads.
  • Support security reviews, risk assessments, compliance audits, and customer data inquiries.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines.
  • 3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership.
  • Experience designing and operating modern cloud-based data platforms and data pipelines.
  • Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns.
  • Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices.
  • Working knowledge of privacy and data protection regulations, including GDPR and CCPA.
  • Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making.
  • Strong stakeholder management, communication, and collaboration skills.
  • Proven ability to balance strategic planning with hands-on technical execution.

Preferred Qualifications:
  • Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $123,800 - $173,100
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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