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Warehouse Engineer Jobs in Michigan (NOW HIRING)

Data Warehouse Architecture & Design * Design, implement, and maintain enterprise-grade data ... Collaborate with data engineers to ensure reliable ingestion from source systems * Validate data ...

Warehouse Efficiency Specialist

Romulus, MI · On-site

$16.50 - $20/hr

Coordinate with operations, engineering, IT, inventory management, and supply chain teams. * Support facility expansion, automation, and warehouse redesign initiatives. * Develop implementation plans ...

Industrial and Manufacturing Engineering * Food and Beverage Manufacturing * Shipping/Receiving * Warehouse Experience * Material Handler Experience * Loading and Unloading Vehicles * Heavy Material ...

Industrial and Manufacturing Engineering * Food and Beverage Manufacturing * Shipping/Receiving * Warehouse Experience * Material Handler Experience * Loading and Unloading Vehicles * Heavy Material ...

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Showing results 1-20

Warehouse Engineer information

See Michigan salary details

$44.5K

$87.3K

$120.7K

How much do warehouse engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for warehouse engineer in Michigan is $87,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $107,600.00 per year, depending on experience, location, and employer.

What are the main challenges a warehouse engineer might face when optimizing warehouse layouts and workflows?

Warehouse Engineers often encounter challenges such as balancing space utilization with efficient material flow, integrating new technologies with legacy systems, and ensuring safety standards are maintained while improving productivity. They must collaborate closely with operations, IT, and logistics teams to implement process improvements and troubleshoot bottlenecks. Successfully addressing these challenges requires strong analytical skills, adaptability, and effective communication to drive continuous improvement in dynamic warehouse environments.

What is a warehouse engineer?

Warehouse Engineers are professionals responsible for designing, implementing, and maintaining efficient warehouse systems and processes. They focus on optimizing storage layouts, material handling, automation, and workflow to maximize productivity and reduce operational costs. Their work often involves using technology and engineering principles to improve inventory management, logistics, and safety within warehouses.

What is the difference between Warehouse Engineer vs Warehouse Supervisor?

AspectWarehouse EngineerWarehouse Supervisor
CredentialsBachelor's in Engineering, logistics, or related field; certifications like PMP or Six SigmaHigh school diploma or equivalent; management or logistics certifications beneficial
Work EnvironmentDesigning and optimizing warehouse systems, working with engineers and logistics teamsOverseeing daily warehouse operations, managing staff, ensuring safety and efficiency
Employer & Industry UsageManufacturing, distribution centers, logistics companiesRetail, distribution, third-party logistics providers

While both roles are integral to warehouse operations, a Warehouse Engineer focuses on designing and improving warehouse systems and processes, often requiring engineering credentials. In contrast, a Warehouse Supervisor manages daily operations and staff, emphasizing leadership and operational efficiency. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a warehouse engineer, and why are they important?

To thrive as a Warehouse Engineer, you need expertise in warehouse operations, logistics, process optimization, and typically a degree in industrial or mechanical engineering. Familiarity with warehouse management systems (WMS), automation technologies, and data analysis tools is important, along with relevant certifications like Six Sigma or Lean. Strong problem-solving skills, communication, and the ability to work collaboratively with cross-functional teams help you stand out. These skills ensure efficient warehouse design and operations, driving productivity, cost savings, and safety.

What does a warehouse engineer do?

A warehouse engineer designs, implements, and maintains systems and processes to optimize warehouse operations, including inventory management, layout planning, and automation. They often use engineering principles and tools like CAD software and may require knowledge of safety standards and logistics. Their goal is to improve efficiency, safety, and cost-effectiveness in warehouse environments.

How much does a warehouse engineer make?

The average salary for a warehouse engineer typically ranges from $60,000 to $90,000 per year, depending on experience, location, and industry. Professionals in this role often require knowledge of logistics, automation tools, and safety standards to optimize warehouse operations.
What are popular job titles related to Warehouse Engineer jobs in Michigan? For Warehouse Engineer jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Warehouse Engineer job openings in Michigan as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 1% Temporary, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $87,317 per year, or $42 per hour.

Database Engineer - onsite

Eccalon LLC

Detroit, MI • On-site

Full-time

Re-posted 20 days ago


Job description

Job Description

We are seeking a highly skilled Database Engineer with deep expertise in Data Warehousing to design, build, optimize, and maintain large-scale analytical databases that support reporting, business intelligence, and advanced analytics use cases. This role is responsible for ensuring data correctness, performance, scalability, and reliability across enterprise data warehouse platforms. The ideal candidate has strong experience with dimensional modeling, SQL performance tuning, data pipelines, and modern cloud or on-prem data warehousing technologies.

Responsibilities

  • Data Warehouse Architecture & Design
    • Design, implement, and maintain enterprise-grade data warehouse architectures
    • Develop and manage dimensional data models (star, snowflake, fact and dimension tables)
    • Translate business and analytical requirements into scalable data schemas
    • Support historical, slowly changing dimensions (SCD), and aggregations
  • Database Development & Optimization
    • Write and optimize complex SQL queries, views, materialized views, and stored procedures
    • Tune database performance for large-scale analytical workloads
    • Implement partitioning, indexing, clustering, and distribution strategies
    • Ensure high availability, backup, recovery, and disaster-recovery readiness
  • Data Integration & Pipelines
    • Support and optimize ELT/ETL pipelines feeding the data warehouse
    • Collaborate with data engineers to ensure reliable ingestion from source systems
    • Validate data quality, consistency, and integrity across datasets
    • Partner with analytics and BI teams to ensure data readiness and usability
  • Platform Operations & Governance
    • Monitor and maintain warehouse performance, cost, and usage efficiency
    • Implement data access controls, security policies, and governance standards
    • Maintain documentation for schemas, metrics, and data definitions
    • Support audit, compliance, and data lineage requirements
  • Collaboration & Leadership
    • Work closely with analytics, product, finance, and business stakeholders
    • Provide guidance on best practices for querying and modeling
    • Contribute to architectural discussions and platform evolution
    • Mentor junior database or data engineers when applicable

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
  • 5+ years of experience as a Database Engineer, Data Engineer, or Data Warehouse Engineer
  • Expert-level SQL skills with experience handling large datasets
  • Strong experience designing and operating data warehouses for analytics and BI
  • Cloud Data Warehouses: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse
  • On-Prem / MPP Databases: Teradata, Oracle, SQL Server, Vertica, Greenplum
  • OLAP / Analytics Concepts: Columnar storage, MPP architectures, query optimization
  • Strong knowledge of data modeling methodologies (Kimball, Inmon)
  • Experience with ELT/ETL tools and orchestration frameworks
  • Understanding of data partitioning, compression, and workload management
  • Familiarity with BI tools (Tableau, Power BI, Looker, etc.)
  • Experience with cloud infrastructure, cost optimization, and scaling strategies
  • Exposure to metadata management, data catalogs, and governance tools

Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017