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Remote Data Engineering Jobs in Detroit, MI (NOW HIRING)

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Software Engineering Manager

Detroit, MI · On-site +1

Through cutting-edge technology, advanced data analytics and human-centric design, we help insurers ... Hybrid remote model allows the flexibility to work remotely as much as desired. * Paid time off for ...

Alfa

Solution Architect

Royal Oak, MI · On-site +1

$58.75 - $77.50/hr

Knowledge of and experience with data engineering concepts, tooling and patterns. What we'll do for ... Flexible work - hybrid or remote work with modern workspaces available * Health, Dental and Vision ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

May Mobility

Remote Assistance Specialist

Ann Arbor, MI · Remote

$19.50 - $24.75/hr

Address technical problems and coordinate with engineering teams for timely resolutions * Train and ... Data collection and organization * Ability to communicate effectively * Ability to coach and lead ...

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Showing results 41-60

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Detroit, MI

Remote Data Engineering information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

How much do remote data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data engineering in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Detroit, MI? The most popular types of Data Engineering jobs in Detroit, MI are:
What are popular job titles related to Remote Data Engineering jobs in Detroit, MI? For Remote Data Engineering jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Detroit, MI look for? The top searched job categories for Remote Data Engineering jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Remote Data Engineering jobs? Cities near Detroit, MI with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Detroit, MI as of August 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 100% Remote job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

MES Integration Engineer

North Point- Commercial Engineering Talent Network

Novi, MI • On-site, Remote

$97K - $131K/yr

Full-time

Posted 7 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.