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Remote Reverse Logistics Jobs in Michigan (NOW HIRING)

Remote Reverse Logistics information

What is a remote reverse logistics?

A Remote Reverse Logistics job involves managing the process of returning goods from customers back to the company, handling product recalls, recycling, repairs, or proper disposal. Professionals in this field coordinate logistics, track returned items, process refunds or replacements, and ensure compliance with company policies—all while working from a remote location. This role often requires strong organizational skills, knowledge of supply chain processes, and effective communication with customers and internal teams.

What are the key skills and qualifications needed to thrive as a remote reverse logistics specialist?

To thrive as a Remote Reverse Logistics Specialist, you need a solid understanding of supply chain management, inventory control, and returns processing, often supported by relevant logistics or business qualifications. Familiarity with warehouse management systems (WMS), enterprise resource planning (ERP) tools, and shipping platforms is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills are essential soft skills for coordinating returns and managing customer expectations remotely. These skills and qualifications are crucial for optimizing return processes, reducing costs, and ensuring customer satisfaction in a distributed work environment.

What are some common challenges faced in a remote reverse logistics role, and how can they be effectively managed?

In a remote reverse logistics role, professionals often encounter challenges such as coordinating returns across various locations, managing communication with multiple stakeholders, and tracking returned goods accurately without physical oversight. Effective use of logistics management software, clear communication protocols, and strong organizational skills are essential for overcoming these obstacles. Building strong relationships with vendors, carriers, and internal teams also helps streamline the process and resolve issues more efficiently.

What is the difference between Remote Reverse Logistics vs Remote Logistics Coordinator?

AspectRemote Reverse LogisticsRemote Logistics Coordinator
CredentialsLogistics, supply chain certifications, sometimes reverse logistics trainingLogistics, supply chain certifications, general logistics training
Work EnvironmentWarehouse, distribution centers, e-commerce returns processingOffice or remote, coordinating shipments and deliveries
Industry UsageRetail, e-commerce, manufacturing with focus on returnsBroad logistics roles across industries
Search & Comparison IntentUnderstanding reverse logistics processes and rolesManaging overall logistics operations

Remote Reverse Logistics focuses on managing product returns, refurbishments, and recycling processes, often requiring specialized knowledge in reverse supply chain management. Remote Logistics Coordinators oversee the movement of goods, shipments, and supply chain activities. While both roles involve logistics skills, reverse logistics emphasizes returns and recycling, whereas logistics coordinators handle broader transportation and distribution tasks.

Can I work in remote reverse logistics?

Remote reverse logistics roles involve managing the return and disposal of products from a location outside of a traditional warehouse or office. These jobs often require skills in supply chain management, logistics software, and communication tools, and may be suitable for remote work depending on the company's policies and the specific responsibilities involved.

What career paths exist in remote reverse logistics?

Careers in remote reverse logistics include roles such as reverse logistics coordinator, returns analyst, supply chain analyst, and warehouse manager. These positions often require skills in inventory management, logistics software, and problem-solving, with opportunities for advancement into supply chain management or operations leadership.

What companies use remote reverse logistics?

Many companies across retail, electronics, and e-commerce sectors utilize remote reverse logistics to manage product returns and recycling. Major retailers like Amazon, Walmart, and Best Buy, as well as electronics manufacturers such as Apple and Samsung, often employ remote reverse logistics strategies to streamline return processes and reduce costs. These roles typically require skills in supply chain management, logistics software, and customer service.

What are the most commonly searched types of Reverse Logistics jobs in Michigan?

The most popular types of Reverse Logistics jobs in Michigan are:

What are popular job titles related to Remote Reverse Logistics jobs in Michigan?

For Remote Reverse Logistics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Reverse Logistics jobs in Michigan look for?

The top searched job categories for Remote Reverse Logistics jobs in Michigan are:

What cities in Michigan are hiring for Remote Reverse Logistics jobs?

Cities in Michigan with the most Remote Reverse Logistics job openings:

Infographic showing various Remote Reverse Logistics job openings in Michigan as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

Data Integration Engineer- ERP Systems (Remote)

NN, Inc.

Kentwood, MI • Remote

$43.27 - $60.10/hr

Full-time

Re-posted 20 days ago


Key responsibilities

  • Understand and map ERP system data structures, including tables, fields, relationships, and business logic.

  • Translate business reporting requirements into accurate data models and query logic, and produce source-to-target mapping documents.

  • Partner with data lake, Alteryx, and Power BI teams to ensure extracted data is structurally sound, semantically correct, and reporting-ready.


Job description

Position Summary

The Data Integration Engineer is responsible for understanding and mapping ERP system data structures — including tables, fields, and business logic — to support enterprise reporting and integration needs. This role bridges the gap between raw ERP data and our analytics platforms, ensuring the underlying data is accurately understood, extracted, and made query-ready for downstream consumption by our data lake, Alteryx, and Power BI development teams.

The ideal candidate possesses deep, hands-on expertise with QAD and Progress OpenEdge and a proven ability to translate complex, often undocumented source-system data into accurate, reliable models that support manufacturing, supply chain, quality, logistics, customer, and supplier reporting needs. Experience with other major ERP platforms is a plus but does not substitute for QAD/Progress OpenEdge expertise. Comfort using modern AI-assisted tools to accelerate this work is also a plus.

Essential Responsibilities

ERP Data Mapping & Schema Expertise

  • Document and map ERP data structures — tables, fields, relationships, and embedded business logic — across QAD, Progress OpenEdge, and other source systems.
  • Serve as the subject matter expert on "what does this field/table actually mean" for source ERP systems, filling a critical knowledge gap between raw data and reporting.
  • Translate business reporting requirements into accurate data models and query logic.
  • Reverse-engineer schemas and data relationships in systems with limited or outdated documentation.
  • Produce and maintain source-to-target mapping documents for each extracted table/field, capturing transformation logic and business rules.
  • Build and maintain a living data dictionary for QAD/Progress OpenEdge (and other source systems as needed), documenting field definitions, valid values, and business meaning so this knowledge is captured as a durable asset rather than tribal knowledge.

Integration, Data Lake & Reporting Support

  • Partner closely with the data lake, Alteryx, and Power BI development teams to ensure extracted data is structurally sound, semantically correct, and reporting-ready.
  • Design extractions with the data lake as the landing target — feeding raw and curated lake layers (OCI Object Storage / Oracle ADB) — rather than building one-off, point-to-point extracts for individual reports.
  • Build and support interfaces using database integrations, ODBC connections, and file-based transfers as needed to support extraction work.
  • Troubleshoot data quality and mapping issues and implement corrective actions to maintain data integrity.
  • Monitor data flows and proactively identify opportunities for process optimization.
  • Opportunity to contribute to on-premise LLM integration work (e.g., connecting ERP/data lake content to locally hosted models) for internal AI-assisted data mapping, documentation, and query tooling.

Data Management & Governance

  • Ensure data accuracy, consistency, and synchronization across enterprise systems.
  • Develop validation, reconciliation, and exception-handling processes.

Collaboration & Project Delivery

  • Partner with business stakeholders across:
  • Collaborate closely with the data lake, Alteryx, and Power BI developers to ensure data feeding their platforms is accurate and usable.
  • Translate business requirements into technical data-mapping solutions.
  • Participate in project planning, estimation, documentation, testing, and deployment activities.
  • Provide technical guidance and best practices for ERP data structure and integration architecture.

Security & Compliance

  • Ensure data handling and integrations comply with company cybersecurity standards.
  • Support compliance requirements related to automotive customer expectations and industry standards.
  • Maintain proper documentation, version control, and change management processes.

Education

  • Bachelor's degree in:
  • Equivalent combination of education and experience may be considered.

Experience

  • 5+ years of experience in data integration, ERP systems, or enterprise application development.
  • 3+ years supporting manufacturing organizations.
  • Required: Hands-on experience with QAD and Progress OpenEdge, including reading/interpreting Progress OpenEdge 4GL data structures and business logic embedded in legacy schemas.
  • Demonstrated experience mapping, documenting, or reverse-engineering ERP data structures — not just building integrations against them — with concrete work product such as mapping documents or data dictionaries.

Technical Skills

  • Strong SQL skills for querying, troubleshooting, and reverse-engineering unfamiliar or undocumented schemas.
  • Experience reading and interpreting ERP data dictionaries, table relationships, and business logic embedded in legacy systems (e.g., Progress OpenEdge 4GL structures).
  • Ability to translate business reporting questions into accurate source-system queries.
  • Experience with:
  • Knowledge of:

Preferred Qualifications

  • Experience with one or more additional major ERP platforms, such as SAP S/4HANA, SAP ECC, Oracle ERP, Microsoft Dynamics 365, Infor LN, Plex, or Epicor.
  • Familiarity with Alteryx and/or Power BI, or other reporting/ETL platforms.
  • Experience with SOAP services, DevOps, CI/CD pipelines, and source control systems.
  • Experience with on-premise/self-hosted LLM deployment (e.g., Ollama, Open WebUI) or integrating internal data sources with locally hosted AI models.
  • Project management experience or PMP certification.
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