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Remote Data Engineer Jobs in Kalamazoo, MI (NOW HIRING)

CIBC

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

CIBC US

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

Python (AI/ML development & data processing) * NodeJS with TypeScript (backend services) * AWS ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

Stryker

Staff Biostatistician (Remote)

Portage, MI · On-site +1

$124K - $207K/yr

Work Flexibility: Remote Stryker is seeking a Staff Biostatistician to join our Instruments ... Lead statistical support for clinical trials by analyzing study data and generating statistical ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Kalamazoo, MI

Remote Data Engineer information

See Kalamazoo, MI salary details

$42K

$122.4K

$167.5K

How much do remote data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote data engineer in Kalamazoo, MI is $122,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $129,700.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Kalamazoo, MI? The most popular types of Data Engineer jobs in Kalamazoo, MI are:
What are popular job titles related to Remote Data Engineer jobs in Kalamazoo, MI? For Remote Data Engineer jobs in Kalamazoo, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Kalamazoo, MI look for? The top searched job categories for Remote Data Engineer jobs in Kalamazoo, MI are:
What cities near Kalamazoo, MI are hiring for Remote Data Engineer jobs? Cities near Kalamazoo, MI with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Kalamazoo, MI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $122,375 per year, or $58.8 per hour.

Senior Lead Data Engineer (Remote)

Stryker

Three Rivers, MI • On-site, Remote

Full-time

Posted 9 days ago

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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