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Redshift Jobs in Michigan (NOW HIRING)

Geologics

Data Modeler

Sterling Heights, MI · On-site

$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 ...

JConnect Infotech

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Expertise in data warehousing solutions like Snowflake or Redshift, Databricks • Cloud Platforms: Working knowledge of cloud providers (AWS) is essential. • Data Modeling: Designing efficient ...

TEKsystems

PIM Specialist

Benton Harbor, MI

$25 - $30/hr

... Redshift, for data staging, analytics, and complex queries. ○ Collaborate with the Enterprise Master Data Management (MDM) team to ensure consistency and synchronization of key master data entities ...

NTT DATA Americas, Inc

AI Architect

Lake Angelus, MI

... Redshift, Athena, OpenSearch, and Kendra • Establish CloudFormation and AWS CDK templates and Terraform modules for isolated VPC sandboxes provisioned per project and per third-party partner • ...

Judge Group, Inc.

Data Scientist

Sterling Heights, MI

$57 - $58/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 or ...

AceStack LLC

Data Engineer

Pontiac, MI

$113K - $136K/yr

Expertise in data warehousing solutions like Snowflake or Redshift, Databricks • Cloud Platforms: Working knowledge of cloud providers (AWS) is essential. • Data Modeling: Designing efficient ...

Diverse Lynx

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Expertise in data warehousing solutions like Snowflake or Redshift, Databricks • Cloud Platforms: Working knowledge of cloud providers (AWS) is essential. • Data Modeling: Designing efficient ...

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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.
Data Modeler

Data Modeler

Geologics

Sterling Heights, MI • On-site

$52 - $62/hr

Contractor

PTO

Posted 27 days ago

Job description

GeoLogics is working with a top Aerospace and Defense client looking for a Data Modeler in Sterling Heights, MI - Hybrid.
Role: Data Modeler
Client: Top Aerospace and Defense company
Location: Sterling Heights, MI - Hybrid (Goal is to be 3 days on, 2 day remote)
Schedule/Travel: 9/80 with 10% travel
Education: Bachelors in Data Management, Data Science, Math, Statistics
Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid)
Job Description
  • Design and implement conceptual, logical, and physical data models to represent organizational data accurately.
  • Collaborate with business analysts, data architects, developers, and other stakeholders to gather requirements and ensure models meet business and technical needs.
  • Maintain a central data dictionary, enforce data standards, and ensure compliance with data governance policies.
  • Optimize performance of data infrastructure by tuning data models for efficiency, reduce redundancy, optimize reusability at the right levels and improve database performance.
  • Design solutions for integrating data across systems and perform reverse engineering of existing databases when necessary.
  • Develop and maintain documentation, naming conventions, and coding standards to ensure consistency across data systems helping the business to define 'what does good look like?'
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting.
  • Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes.
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs.
  • Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation.
  • Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWS Cloud Environments through data transformation within Power BI.

Skills Required
  • Excellent oral and written communications.
  • Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process.
  • Proven ability to work within teams in which your contributions are critical to success.
  • 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-relationship diagrams (ERDs), dimensional modeling, normalization techniques, and metadata repositories to design and document data structures.
  • Understanding of data warehousing concepts.
  • Experience with big data technologies like Hadoop or Spark.
  • Familiarity with cloud-based data services such as AWS or Azure.
  • Background in data governance and data quality concepts.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills with both technical and non-technical stakeholders.
  • Experience in Agile or Scrum environments.

Must Have Knowledge:
  • Develop Data Models
  • AWS Medallion architecture including AWS Redshift
  • Data Cataloguing tools like Collibra
  • Data Transformation tools like Dataiku
  • Dashboarding tools like PowerBI or Tableu
  • Experience using entity-relationship diagrams (ERDs)
  • Big Data tech like Hadoop or Spark

Andrew Gephart
(703) 891-6133
agephart@geologics.com
*Rates listed are not a guarantee of salary/rate. Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level
GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran
Job Requirements

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