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

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By ...

DISHER

Vision Engineer

Detroit, MI · On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us.

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us. apply for ...

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us.

Utilidata

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

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Showing results 41-60

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

Remote Data Engineer information

See Canton, MI salary details

$41.2K

$120.2K

$164.5K

How much do remote data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data engineer in Canton, MI is $120,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 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 Canton, MI? The most popular types of Data Engineer jobs in Canton, MI are:
What job categories do people searching Remote Data Engineer jobs in Canton, MI look for? The top searched job categories for Remote Data Engineer jobs in Canton, MI are:
What cities near Canton, MI are hiring for Remote Data Engineer jobs? Cities near Canton, MI with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Canton, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,215 per year, or $57.8 per hour.

MES Integration Engineer

North Point- Commercial Engineering Talent Network

Detroit, MI • On-site, Remote

$103K - $138K/yr

Full-time

Posted 6 days ago

Job description

MES Integration Engineer

Location: Maumee, OH (Hybrid) or Remote (U.S.) with occasional travel to manufacturing plants

Responsibilities
  • Design, develop, and maintain software integrations between Manufacturing Execution Systems (MES) and enterprise applications.
  • Develop interfaces between MES platforms, SAP ERP, Oracle databases, and other upstream/downstream business systems.
  • Build and maintain REST APIs, web services, middleware, and data exchange solutions to support real-time manufacturing operations.
  • Develop custom software applications and integration services to automate manufacturing workflows.
  • Work with Ignition and manufacturing applications to support production monitoring and plant operations.
  • Develop and support integrations with traceability systems such as Argonaut.
  • Write, test, debug, and optimize code while following software development best practices.
  • Design SQL queries, stored procedures, and database integrations supporting manufacturing applications.
  • Troubleshoot software, interface, and data flow issues across MES, ERP, and plant systems.
  • Collaborate with Controls Engineers, MES Analysts, ERP teams, and Manufacturing Engineering to gather requirements and implement technical solutions.
  • Create technical documentation including interface specifications, API documentation, and system architecture diagrams.
  • Support system testing, deployment, production releases, and ongoing application enhancements.
  • Participate in global manufacturing digital transformation and Industry 4.0 initiatives.
Requirements / Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or related field, or equivalent professional experience.
  • 5+ years of software development experience.
  • Experience developing integrations between Manufacturing Execution Systems (MES) and enterprise applications.
  • Strong programming experience with one or more of the following:
    • C#
    • .NET
    • Java
    • Python
  • Experience developing REST APIs, web services, and system integrations.
  • Strong SQL development skills, including stored procedures and database design.
  • Experience integrating with SAP ERP, Oracle databases, or similar enterprise platforms.
  • Understanding of manufacturing environments and production workflows.
  • Experience troubleshooting production software and application integrations.
  • Strong analytical, communication, and problem-solving skills.
  • Ability to travel occasionally to manufacturing facilities as needed.
Preferred Qualifications
  • Experience with Ignition by Inductive Automation.
  • Experience integrating or developing solutions for Argonaut traceability systems.
  • Experience working with SAP Manufacturing, Oracle Manufacturing, or other enterprise manufacturing platforms.
  • Knowledge of OPC UA, MQTT, and industrial communication protocols.
  • Experience developing manufacturing software for automotive or industrial environments.
  • Familiarity with Git, Azure DevOps, CI/CD pipelines, and Agile development methodologies.
  • Understanding of Industry 4.0, Smart Manufacturing, and Industrial IoT architectures.
  • Experience supporting global manufacturing deployments and multi-site production environments.
  • Exposure to PLCs, SCADA systems, or industrial automation technologies is a plus.