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Remote Engineering Jobs in Kalamazoo, MI (NOW HIRING)

Quora

iOS Engineer -Remote

Kalamazoo, MI · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

The Product Engineering area is responsible for designing, writing, testing and deploying the code ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

TreeHouse Foods

Senior Manager, Engineering

Wayland, MI · On-site +1

$132K - $198K/yr

Engineering Job Posting Title: Senior Manager, Engineering About Us: TreeHouse Foods is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production ...

Kingscott

Civil Engineer

Portage, MI · Remote

This remote position requires the individual to live in the state of Michigan with the ability to ... Prepare and review detailed engineering plans, specifications, and reports. * Coordinate and ...

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Showing results 1-20

All JobsEngineering JobsRemote Engineering JobsRemote Engineering Jobs in Kalamazoo, MI

Remote Engineering information

See Kalamazoo, MI salary details

$30.7K

$59.4K

$90.1K

How much do remote engineering jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote engineering in Kalamazoo, MI is $59,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,300.00 and $67,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote engineer?

To thrive as a Remote Engineer, you need strong technical expertise in your engineering discipline, a relevant degree, and experience with distributed systems or remote collaboration. Familiarity with tools such as Git, cloud platforms (e.g., AWS, Azure), and team communication software like Slack or Zoom is typically required. Excellent self-motivation, time management, and clear written communication distinguish top performers in remote settings. These skills and qualities are crucial for delivering high-quality engineering solutions and maintaining productivity while collaborating with geographically dispersed teams.

What is remote engineering?

Remote engineering refers to engineering work that is performed outside of a traditional office or job site, typically from home or another remote location. Remote engineers use digital tools and communication platforms to collaborate with teams, design systems, write code, or manage projects from anywhere in the world. This work arrangement allows for greater flexibility and can help companies access a wider pool of talent. However, it also requires strong communication skills and self-discipline to maintain productivity and teamwork.

How do remote engineering teams typically coordinate and communicate to ensure project success?

Remote engineering teams commonly use a combination of collaboration tools like Slack, Jira, and GitHub to stay connected and manage projects efficiently. Regular virtual stand-ups, sprint planning meetings, and code reviews help maintain alignment and transparency among team members. Clear documentation and proactive communication are essential to overcome time zone differences and prevent misunderstandings. Most teams also establish shared coding standards and utilize version control to streamline contributions from multiple engineers working remotely.

What is the difference between Remote Engineering vs Remote Software Developer?

AspectRemote EngineeringRemote Software Developer
Required CredentialsBachelor's in Engineering, relevant certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentDesign, testing, and overseeing engineering projects remotelyWriting, testing, and deploying software remotely
Employer & Industry UsageEngineering firms, manufacturing, infrastructureTech companies, startups, software firms
Search & Comparison IntentUnderstanding engineering roles vs software roles remotely

Remote Engineering involves designing and managing engineering projects remotely, often requiring technical certifications and a background in engineering disciplines. Remote Software Developers focus on coding and software deployment from a remote location, typically with programming certifications. While both roles can be performed remotely, Remote Engineering emphasizes project oversight and technical engineering tasks, whereas Remote Software Development centers on software creation and maintenance.

What are the most commonly searched types of Engineering jobs in Kalamazoo, MI? The most popular types of Engineering jobs in Kalamazoo, MI are:
What are popular job titles related to Remote Engineering jobs in Kalamazoo, MI? For Remote Engineering jobs in Kalamazoo, MI, the most frequently searched job titles are:
What job categories do people searching Remote Engineering jobs in Kalamazoo, MI look for? The top searched job categories for Remote Engineering jobs in Kalamazoo, MI are:
What cities near Kalamazoo, MI are hiring for Remote Engineering jobs? Cities near Kalamazoo, MI with the most Remote Engineering job openings:
Remote Engineering jobs near you
Infographic showing various Remote Engineering job openings in Kalamazoo, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $59,413 per year, or $28.6 per hour.

Senior Lead Data Engineer (Remote)

Stryker

Three Rivers, MI • On-site, Remote

Full-time

Posted 3 days ago

New

Job description

Work Flexibility: Remote

As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices.

What You Will Do

  • Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation.
  • Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability.
  • Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
  • Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models.
  • Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions.
  • Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team.
  • Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity.
  • Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency.
  • Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity.
  • Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams.

What you need

Required

  • Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field.
  • 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development.
  • Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment.
  • Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
  • Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks.
  • Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions.
  • Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models.
  • Experience with API integrations, REST services, authentication, security, data governance, and production support practices.
  • Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority.
  • Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions.

Preferred

  • Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field.
  • Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment.
  • Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale.
  • Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics.
  • Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development.
  • Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation.
  • Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights.
  • Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization tools.
  • Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases.

United States of America Pay Ranges:

  • USN: $118,000 - $196,700 USD Annual
  • US5: $123,900 - $206,500 USD Annual
  • US10: $129,800 - $216,400 USD Annual
  • US15: $135,700 - $226,200 USD Annual
  • US20: $141,600 - $236,000 USD Annual
  • US30: $153,400 - $255,700 USD Annual
View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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