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Redshift Jobs in Michigan (NOW HIRING)

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

This person will lead the development of scalable ETL/ELT pipelines using IICS (Informatica Intelligent Cloud Services) and AWS services (Lambda, Glue, Redshift, Bedrock, and SageMaker). Working ...

Raymondjames

Lead Cloud Data Engineer

Southfield, MI · Hybrid

$94K - $123K/yr

The ideal candidate will have extensive experience with AWS Glue, PySpark, and Amazon Redshift. You will be responsible for designing, implementing, and optimizing data pipelines, ensuring data ...

Purple Drive Technologies

Data Consultant

Detroit, MI · On-site

Architect and maintain data lakes and warehouses (Snowflake, Redshift) and implement dbt-based data modeling for analytics-ready datasets. * Build and manage orchestration workflows using Apache ...

GeoLogics Corporation

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL. * Familiarity with Atlassian Jira ...

GeoLogics Corporation

Data Modeler

Sterling Heights, MI · Hybrid

$52 - $62/hr

Proficiency with tools such as Power BI, Visual Basic, MSExcel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL. * Experience using entity ...

Geologics

Data Modeler

Sterling Heights, MI · Hybrid

$52 - $62/hr

Proficiency with tools such as Power BI, Visual Basic, MSExcel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL. * Experience using entity ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL. * Familiarity with Atlassian Jira ...

Geologics

Data Modeler

Sterling Heights, MI · Hybrid

$52 - $62/hr

Proficiency with tools such as Power BI, Visual Basic, MSExcel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL. * Experience using entity ...

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Redshift information

What are the key skills and qualifications needed to thrive in the Redshift position, and why are they important?

To thrive in a Redshift-focused role (such as an Amazon Redshift Database Administrator or Redshift Data Engineer), you need strong expertise in cloud data warehousing, SQL, ETL development, and data modeling, often backed by a degree in computer science or a related field. Proficiency with Amazon Web Services (AWS), specifically Redshift, as well as tools like Python, ETL platforms, and related AWS certifications are highly valuable. Effective communication, analytical thinking, and problem-solving skills enable you to translate business needs into scalable data solutions and collaborate with diverse teams. These skills are essential for ensuring data integrity, optimizing performance, and supporting strategic business decisions in a cloud-based data environment.

What is a Redshift job?

A Redshift job typically refers to a task or process involving Amazon Redshift, a cloud-based data warehousing service. This can include roles such as database administrators, data engineers, or analysts who work with Redshift to store, process, and analyze large datasets. Common responsibilities involve writing SQL queries, optimizing performance, managing clusters, and integrating Redshift with data pipelines.

What are some typical challenges faced by professionals working with Amazon Redshift, and how can I prepare for them?

Working with Amazon Redshift often involves optimizing large-scale data pipelines, troubleshooting performance bottlenecks, and ensuring data security in a cloud environment. It can be challenging to balance query speed with cost efficiency, especially as data volumes grow rapidly. Familiarity with Redshift best practices—such as schema design, compression techniques, and query optimization—will help you address these issues effectively. Proactively staying updated on AWS feature releases and participating in team knowledge sharing can also make problem-solving more efficient and collaborative.

What are popular job titles related to Redshift jobs in Michigan? For Redshift jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Redshift jobs in Michigan look for? The top searched job categories for Redshift jobs in Michigan are:
Redshift jobs near you
Infographic showing various Redshift job openings in Michigan as of May 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

AWS AI/Data Engineer (Hybrid - Alternative weeks)

Reliable Software Resources

Detroit, MI • On-site, Remote

$104K - $125K/yr

Other

Posted 11 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
 
 

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