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Remote Data Platform Engineer Jobs in Michigan (NOW HIRING)

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 ...

Stryker

Salesforce Software Engineer (Remote)

Portage, MI · On-site +1

$133K - $222K/yr

Remote As a Salesforce Software Engineer, you will play a key role in shaping how our U.S ... Salesforce Certified Platform Developer I (PDI) or Salesforce Certified Platform Developer II (PDII ...

Stryker

Salesforce Software Engineer (Remote)

Portage, MI · On-site +1

$133K - $222K/yr

Remote As a Salesforce Software Engineer, you will play a key role in shaping how our U.S ... Salesforce Certified Platform Developer I (PDI) or Salesforce Certified Platform Developer II (PDII ...

Abaxis

HPC Platform Product Lead

Portage, MI · On-site +1

... data movement). EDUCATION AND EXPERIENCE Required ... Bachelor's degree in computer science, Engineering, Information Systems, or equivalent practical ...

Team Velocity

Senior Full Stack .NET Developer

Detroit, MI · Remote

$150K - $175K/yr

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 ...

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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 Sep 10, 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:

Remote Data Platform Engineer jobs near you
Infographic showing various Remote Data Platform Engineer job openings in Michigan as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Software Engineer, II - Data Engineering

Ann Arbor, MI • Remote

Torc Robotics
Trucking • 501 - 1,000 employees
Learn more about Torc Roboticsexternal

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team
Torc's Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints-daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts.

What You'll Do
We are seeking a Software Engineer with experience in implementing and maintaining Linux and cloud-based data management solutions who is ready to extend that experience. In this role you will be working closely with other engineers on the implementation of AWS-native data ingestion, ETL, and storage solutions that power data driven analytics, simulation, and ML training across the enterprise.
  • Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments
  • Build and support scalable pipelines as part of Torc's Data Factory to delivery data for ML training at scale
  • Scale Torc's data lake through a distributed storage system, data crawling and discovery
  • Promote and protect the integrity of data through validation, versioning, data provenance, and governance
  • Support the expansion of Torc's data lake through acquisition of additional data sets from internal and external sources
  • Contribute to the design, architecture and delivery of cloud-based solutions    
  • Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery
  • Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles
  • Participate in the team's on-call rotation to support our deployed systems during business hours  
Here's a list of some of the technologies we use to make all the above happen:
  • Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue)
  • Linux / Bash
  • Docker
  • Terraform
  • Python
  • React/Javascript
  • On-Call Tooling (Datadog, AWS Cloudwatch)
  • CI/CD Tooling (Jenkins, GitHub Actions) 
What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;
  • Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.
  • Experience deploying, troubleshooting, monitoring and maintaining Linux systems
  • Experience building and maintaining workloads in public cloud environments
  • Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores
  • Practical experience with Linux and general bash scripting
  • Practical experience with Docker and containerization
  • Implementation of workflow patterns using directed acyclic graphs (Apache Airflow, AWS Step Functions)
  • A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code
Bonus Points
  • Strong organizational, time management, and communication skills working with a team orientation and collaborative style 
  • Experience with the Databricks platform, particularly for serving data, visualizations and jobs
  • Experience with scaling data for ML and AI workloads using Ray
  • Experience with pandas, numpy and other Python-based data analysis libraries and tooling
  • Deep knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)  
  • Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems
  • Own end-to-end architecture and delivery of cloud-based solutions.

Perks of Being a Full-time Torc'r 
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:    
 

  • A competitive compensation package that includes a bonus component and stock options 
  • 100% paid medical, dental, and vision premiums for full-time employees 
  • 401K plan with a 6% employer match 
  • Flexibility in schedule and generous paid vacation (available immediately after start date) 
  • AD+D and Life Insurance 

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102860

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