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Remote Data Infrastructure Jobs in Michigan (NOW HIRING)

AI Data Engineer

Troy, MI · Remote

$80K - $100K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Open-source contributions to data infrastructure projects. * Experience supporting frontier model ...

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Translate complex data infrastructure decisions for non-technical stakeholders without oversimplifying, and break vague product requirements into clear engineering tasks and acceptance criteria

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Collaborate with the Data and AI team to design and build data infrastructure, including ETL/ELT ... Flexible/remote work options.

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building ...

Enterprise Architect (IT)

Detroit, MI · On-site +1

$102K - $208K/yr

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Enterprise Architect (IT)

Detroit, MI · On-site +1

$68.25 - $88/hr

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Application Architect (IT)

Detroit, MI · On-site +1

$70K - $140K/yr

Experience across business, application, data, infrastructure, security, cloud, and integration ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Cloud Architect - Remote

Lansing, MI · On-site +1

$66 - $84/hr

Cloud Infrastructure Architect Location: 100% Remote Duration: 12 months + Job Duties and ... Design and test large-scale workload and data migrations * Provide direct support to technical and ...

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Showing results 1-20

Remote Data Infrastructure information

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

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.
What are the most commonly searched types of Data Infrastructure jobs in Michigan? The most popular types of Data Infrastructure jobs in Michigan are:
What are popular job titles related to Remote Data Infrastructure jobs in Michigan? For Remote Data Infrastructure jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Infrastructure jobs in Michigan look for? The top searched job categories for Remote Data Infrastructure jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Infrastructure jobs? Cities in Michigan with the most Remote Data Infrastructure job openings:

$80K - $100K/yr

Full-time

Posted 9 days ago


Job description

AI Data Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000–$100,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.