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Remote Data Platform Engineer Jobs in Michigan (NOW HIRING)

Familiarity with distributed caching, search, streaming, and large-scale data platforms such as ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

$130K - $150K/yr

You have experience with data discovery platforms, Data Security Posture Management (DSPM ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

You have experience with data discovery platforms, Data Security Posture Management (DSPM ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

$130K - $150K/yr

You have experience with data discovery platforms, Data Security Posture Management (DSPM ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

You have experience with data discovery platforms, Data Security Posture Management (DSPM ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... Architect and deploy AI/Data Platform (AIDP) workloads leveraging OCI GenAI Service, OCI AI Agents ...

... data ... You will partner with clinicians, engineers, and product teams to deliver robust, compliant, and ...

New

Showing results 41-60

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 Sep 3, 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 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 key skills and qualifications needed to thrive as a remote data platform engineer?

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 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 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:

Infographic showing various Remote Data Platform Engineer job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Senior Technical Risk Engineer

Ford Motor Company

Dearborn, MI • Remote

$96K - $162K/yr

Full-time

Medical, Dental, Life, PTO

Re-posted 15 days ago


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description

We are seeking a Technical Risk Engineer with strong technical acumen to design, prioritize, and enable risk-reducing technical solutions across complex cloud and enterprise environments. This role emphasizes solution engineering over process engineering-using risk frameworks, policies, and controls as inputs to architect practical, automatable, and scalable technical safeguards.

The ideal candidate thinks like an engineer first and a risk professional second: someone who understands how systems fail, how controls can be enforced through code and architecture, and how risk intent is translated into resilient technical designs.

Preferred Technical Skills

  • Cloud Platforms: Google Cloud Platform (GCP)
  • Automation & API Development: Proficiency in Python or Java and Ansible for scripting, with hands-on experience in API development (RESTful) 
  • Infrastructure as Code: Terraform (required)
  • Data & Analytics: GCP BigQuery, Power BI (or similar) to visualize risk posture & evidence.
  • Backup, recovery, and resilience solution architectures

  • Isolated Recovery Environment (IRE) design and implementation in GCP

  • Supporting Knowledge (nice to have):
    • GRC and/or Security Domain expertise
    • CI/CD pipelines and policy-as-code
    • Cloud IAM, networking, and control planes
    • Observability, logging, and evidence automation
    • GRC Platforms: Archer, ServiceNow
    • ITIL-based IT Service Management (ITSM)
    • Familiarity with Agentic AI Frameworks

Required Qualifications

  • Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field
  • 7+ years in IT operations & engineering, security engineering, platform engineering, SRE, or technical risk roles
  • Backup, recovery, and resilience solution architecture implementations, especially IRE's.

  • Proven ability to design and influence technical solutions across teams
  • Strong understanding of how risk manifests in distributed systems, cloud platforms, and automation
  • Comfortable operating between engineering teams and risk stakeholders
  • Ability to explain complex technical risk concepts to non-technical audiences without losing fidelity

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary 

This position is a salary grade 8

This position is a salary grade 8 and ranges from $96,720-162,120.

*Visa Sponsorship is provided for this role*

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 

#LI-Remote

#LI-GH2

Preferred Technical Skills

  • Cloud Platforms: Google Cloud Platform (GCP)
  • Automation & API Development: Proficiency in Python or Java and Ansible for scripting, with hands-on experience in API development (RESTful) 
  • Infrastructure as Code: Terraform (required)
  • Data & Analytics: GCP BigQuery, Power BI (or similar) to visualize risk posture & evidence.
  • Backup, recovery, and resilience solution architectures

  • Isolated Recovery Environment (IRE) design and implementation in GCP

  • Supporting Knowledge (nice to have):
    • GRC and/or Security Domain expertise
    • CI/CD pipelines and policy-as-code
    • Cloud IAM, networking, and control planes
    • Observability, logging, and evidence automation
    • GRC Platforms: Archer, ServiceNow
    • ITIL-based IT Service Management (ITSM)
    • Familiarity with Agentic AI Frameworks

Required Qualifications

  • Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field
  • 7+ years in IT operations & engineering, security engineering, platform engineering, SRE, or technical risk roles
  • Backup, recovery, and resilience solution architecture implementations, especially IRE's.

  • Proven ability to design and influence technical solutions across teams
  • Strong understanding of how risk manifests in distributed systems, cloud platforms, and automation
  • Comfortable operating between engineering teams and risk stakeholders
  • Ability to explain complex technical risk concepts to non-technical audiences without losing fidelity

Key Responsibilities

  • Engineer technical risk solutions that reduce operational, cyber, and resilience risk through architecture, automation, and control design.
  • Translate risk requirements, policies, and standards into implementable technical patterns, guardrails, and reference architectures.
  • Prioritize and influence solution design decisions based on risk impact, blast radius, and recovery dependencies.
  • Partner with platform, cloud, security, and SRE teams to embed risk controls directly into infrastructure and pipelines.
  • Evaluate control effectiveness using technical signals and evidence, not just procedural compliance.
  • Support initiatives such as secure cloud architecture, isolated recovery environments, identity and access hardening, and infrastructure resilience.
  • Provide technical guidance on risk tradeoffs, recovery sequencing, and dependency-aware system design.
  • Contribute to lightweight process definition where needed-but always in service of enabling better technical outcomes.

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