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Remote Data Platform Engineer Jobs in Michigan (NOW HIRING)

company826

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Build and maintain a modern, scalable data platform that ingests, curates, and governs structured ... Extensive data engineering experience, including pipeline development, database design, and ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site +1

$140K - $184K/yr

... Platforms and Technologies including Google cloud platform or AI technologies including LLM ... Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g ...

Kobie Marketing

Director, Product

Detroit, MI · Remote

$230K - $241K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... of Kobie's data platform in the market. You will work directly with Product, Data Engineering ...

Wwwinc

Lead Azure Data Engineer

Rockford, MI · Remote

$91K - $120K/yr

... complex data and platform issues, design scalable solutions under ambiguity, and drive timely ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

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All JobsData Platform Engineer JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Michigan

Remote Data Platform Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do remote data platform engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data platform engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are the most commonly searched types of Data Platform Engineer jobs in Michigan? The most popular types of Data Platform Engineer jobs in Michigan are:
What are popular job titles related to Remote Data Platform Engineer jobs in Michigan? For Remote Data Platform Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Michigan look for? The top searched job categories for Remote Data Platform Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Platform Engineer jobs? Cities in Michigan with the most Remote Data Platform Engineer job openings:
Remote Data Platform Engineer jobs near you
Staff Software Engineer

Staff Software Engineer

2Bridge Partners

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 23 days ago

Job description

2bridge has been engaged in the search for a full-time, direct-hire Staff Software Engineer to join our client in the Marketing Tech Space. Our client provides Analytics, Customer Experience, and Lead Capture

and conversion services focused on various industries. They are looking for a talented and experienced Staff Engineer to join their team.

Our client offers a comprehensive package with a competitive salary, a collaborative environment, and full medical, dental, vision, and PTO benefits.

Technical Expertise

  • Design, develop, and maintain complex software systems using C#, .NET, Azure, AWS, or another cloud platform.
  • Implement containerization and orchestration solutions using Docker, Kubernetes, and Terraform.
  • Collaborate cross-functionally to ensure high-quality code and adherence to best practices.

Collaboration

  • Work closely with product managers, designers, and other engineers to deliver innovative solutions.
  • Contribute to architectural decisions and promote engineering excellence.
  • Participate in code reviews and mentor junior engineers.

Advanced Technical Leadership

  • Serve as the technical authority across multiple projects and modules.
  • Architect solutions and make critical technical decisions.

Mentorship and Influence

  • Mentor and guide junior and senior engineers, fostering a culture of engineering excellence.
  • Lead cross-functional initiatives to improve engineering practices and standards.

Requirements

  • Bachelor's degree in Computer Science or related field.
  • Minimum of 8 years working as a Backend Software Engineer in C#, .net, Python, Java, or other relevant languages.
  • Mastery of an object-oriented language, associated frameworks, and architecture.
  • Depth of experience building highly available data-driven applications and expertise in data modeling, data warehousing, data pipelines, etc.
  • Experience with Docker and Kubernetes or equivalent container orchestration services.
  • Extensive experience with Azure, AWS, GCP, another major cloud platform, or equivalent public cloud and cloud-native infrastructures.
  • Proficiency with platform engineering practices, including CI/CD, containerization, and infrastructure as code..
  • Experience with microservices architecture and distributed systems architecture.
  • Proven experience leading complex technical projects or initiatives.

Location

  • Open to remote or hybrid if in the Detroit metro or Ann Arbor area.

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