ZipRecruiter

Log In

2

Remote Amazon Data Engineer Jobs in Michigan (NOW HIRING)

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

Dart Container

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... in data engineering? Apply today. Overview: Dart makes everyday products that give people the ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

We're looking for a Principal Data Engineer to own the technical direction and execution of our data engineering platform. This role is responsible for setting architectural direction for the data ...

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

Wwwinc

Lead Azure Data Engineer

Rockford, MI · Remote

$91.30K - $120.20K/yr

The Lead Azure Data Engineer operates as a technology expert and architect responsible for the ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

Deloitte

Databricks Engineer

Detroit, MI · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

next page

Showing results 1-20

People also search for

All JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Michigan

Remote Amazon Data Engineer information

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

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Michigan? The most popular types of Amazon Data Engineer jobs in Michigan are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Michigan? For Remote Amazon Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Michigan look for? The top searched job categories for Remote Amazon Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Amazon Data Engineer jobs? Cities in Michigan with the most Remote Amazon Data Engineer job openings:
Remote Amazon Data Engineer jobs near you

Sr & Jr AWS AI/Data Engineers

Reliable Software Resources

Detroit, MI • Remote

$104.80K - $125.80K/yr

Other

Posted 3 days ago

Job description

Position#1
Job Title: Senior AWS AI / Data Engineer
Location: Detroit, MI 
Hire Type: Long-term contract
 
Experience: 7+ years  |  Detroit, MI (mandatory) — Remote up to 50% travel | 
 
Agentic AI
LLMs
Python
AWS Native
Data Pipelines
Structured + Unstructured Data
 
ABOUT THE ROLE
As a Senior AWS AI/Data Engineer at DataFactZ you will architect and deliver enterprise-grade AI and data pipeline solutions for large-scale client engagements. You will lead the design of agentic AI systems, LLM-powered applications, and high-throughput data pipelines on AWS — translating complex business problems into production-ready solutions while mentoring junior engineers.
 
KEY RESPONSIBILITIES
•      Design and build end-to-end data pipelines for ingesting, transforming, and serving structured (SQL, Redshift, Parquet) and unstructured (PDFs, emails, documents, images) data on AWS
•      Architect agentic AI systems using LLMs with tool use, memory, and multi-step reasoning via Amazon Bedrock, OpenAI, or Anthropic Claude
•      Build multi-agent orchestration workflows using LangChain, LlamaIndex, CrewAI, or AutoGen for enterprise automation
•      Design RAG pipelines connecting structured and unstructured data sources to LLMs via vector databases (Pinecone, OpenSearch, pgvector)
•      Lead AWS data architecture across S3, Glue, Lambda, EMR, Athena, Step Functions, and Redshift
•      Develop prompt engineering strategies and fine-tuning approaches for domain-specific LLM customization
•      Mentor junior engineers, lead code reviews, and drive engineering best practices
•      Engage client stakeholders to scope AI/data use cases, define success metrics, and deliver on commitments
 
REQUIRED SKILLS
•      Python: Advanced proficiency for data engineering, pipeline orchestration, and AI integrations
•      AWS services: Deep hands-on experience with S3, Glue, Lambda, EMR, Athena, Step Functions, Redshift, and Bedrock
•      LLMs & Agentic AI: Production experience building LLM-powered agents, tool-calling workflows, and multi-agent systems
•      Data pipelines: Batch and real-time ETL/ELT for large-scale structured and unstructured datasets
•      RAG & vector search: Building retrieval-augmented generation systems with embedding pipelines and semantic search
•      System design: Architecting scalable, secure, cost-efficient cloud-native data and AI systems
•      Leadership: Proven ability to lead technical workstreams and communicate designs to senior stakeholders
 
PREFERRED
•      AWS certifications: Solutions Architect, Data Analytics, or Machine Learning Specialty
•      Document intelligence: AWS Textract or custom document parsing pipelines
•      Multi-modal AI: Experience with vision or document-aware models
 
 

Apply