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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 ...

Diverse Lynx

AWS Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

... Redshift, etc. (based on project setup) • Designed and documented the entire data flow and architecture of existing AWS based data pipelines to help migration 3. End-to-End Data Engineering • ...

Diverse Lynx

AWS Azure Senior Data Engineer

Detroit, MI · On-site

$95K - $131K/yr

AWS Cloud - S3, Glue, Lambda, Athena, Redshift (or project-specific AWS tools) Data Engineering & ETL Data Migration & Transformation Solution Architecture Stakeholder Management & Communication 6. ...

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 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 ...

Technogen, Inc.

AI Architect

Auburn Hills, MI · On-site

... 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 Implement ...

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Redshift information

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like investment bankers, senior surgeons, and certain technology executives. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or performance-based bonuses.

Is Redshift a good company to work for?

Redshift is a data warehousing service offered by Amazon Web Services, not a company employing individuals directly. If referring to a job role related to Redshift, such as a Redshift engineer, the work typically involves cloud computing, data management, and SQL skills. The work environment depends on the employer using Redshift, which can vary widely in company culture and benefits.

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.

Does Redshift offer remote positions?

Redshift, as a data warehousing service, does not directly offer remote positions; however, companies that use Redshift for data analytics may have remote job opportunities depending on their policies. Data-related roles such as data engineers or analysts working with Redshift can often be performed remotely if the employer supports flexible work arrangements.

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 is redshift recruiting?

Redshift recruiting refers to the process of hiring professionals for roles related to Amazon Redshift, a data warehousing service. It often involves assessing skills in data management, SQL, and cloud computing, and may require familiarity with AWS tools and certifications.
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
Sr. Data Engineer

Sr. Data Engineer

BISSELL Homecare

Grand Rapids, MI • On-site

$110K - $132K/yr

Full-time

Re-posted 19 days ago

Job description

Overview
The Sr. Data Engineer will serve as a key technical contributor responsible for the design, development, and ongoing support of the company's enterprise data platform and business intelligence ecosystem. This role enables the organization to extract hidden insights from vast amounts of data-leveraging scalable ETL pipelines and cloud technologies-to empower smarter, faster decision-making across the business.
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 closely with Data Engineers, BI analysts, business stakeholders, and external consultants, this person will architect and evolve the data lake-ensuring data quality and integrity are maintained at all times. The Sr. Data Engineer must be a strong problem solver and multitasker who thrives managing multiple concurrent projects, resolves production bugs under pressure, and translates complex business needs into scalable technical solutions.
Responsibilities
  • Lead the design and development of ETL/ELT code to integrate data into the enterprise data lake using IICSd (Informatica Intelligent Cloud Services) and AWS Glue; mentor junior engineers and contribute to platform architecture decisions with direction from the Data Engineering Lead.
  • Develop and maintain deep knowledge of the customer's business needs as they relate to data flows, data models, and BI consumption patterns.
  • Support the integration of AI and machine learning capabilities into data workflows using AWS Bedrock and SageMaker; ensure data pipelines are clean, well-structured, and optimized for analytics and AI consumption.
  • Design and implement AI-ready data pipelines-ensuring data is clean, well-structured, and optimized for downstream model training, inference, and analytics consumption.
  • Collaborate with business process owners, external consultants, and the broader business community to define, understand, and prioritize demand for process and solution changes that optimize business value and BI delivery efficiency.
  • Work closely with the Data Engineering Lead to estimate levels of effort for platform changes and partner with the business community to set priorities across multiple concurrent initiatives.
  • Own the full delivery lifecycle: participate in requirements gathering; prepare requirements documents, functional and technical designs, test scenarios, and deployment plans.
  • Manage and resolve all Data Engineering production support tickets; proactively triage and fix bugs in production pipelines, maintain SLAs, and report resolution progress to the business as requested.
  • Leverage AWS services-including Lambda, Glue, Redshift, Bedrock, and SageMaker-to build, optimize, and modernize data platform capabilities.
  • Understand where data originates and how it is used across most process areas; ensure data lineage, quality, and integrity are maintained throughout the data lifecycle.
  • Champion continuous improvement across data engineering practices, tooling, and documentation standards.
  • May be required to perform other duties as assigned.

Qualifications
REQUIRED EDUCATION AND EXPERIENCE
  • Education: or B.S. degree in Computer Information Systems, Computer Science, or related field.
  • Experience: 6+ years of hands-on experience in data engineering and ETL/ELT development is required. This includes strong proficiency in Python and GUI ETL tools such as IICS (Informatica Intelligent Cloud Services); and experience with AWS data services (Lambda, Glue, Redshift, Bedrock, SageMaker). Candidates with fewer than 6 years of relevant experience will not be considered.

REQUIRED SKILLS
  • Strong Python proficiency: ability to develop, analyze, debug, and optimize ETL pipelines, automation scripts, and data transformation logic end-to-end.
  • Hands-on experience with IICS (Informatica Intelligent Cloud Services) for enterprise-scale ETL/ELT development, maintenance, and CI/CD pipeline integration.
  • Deep AWS expertise across Lambda, Glue, Redshift, Bedrock, and SageMaker; ability to architect and deploy cloud-native data solutions.
  • Experience working with generative AI services such as AWS Bedrock or SageMaker to support AI-powered data workflows and analytics use cases.
  • Proven ability to resolve bugs and incidents in production data pipelines; conducts root-cause analysis and implements preventive controls to maintain SLA commitments.
  • Must be a strong multitasker with the ability to manage and lean into multiple concurrent projects simultaneously; quickly and accurately shifts attention among dynamic priorities, picks up new initiatives with minimal ramp-up time, and delivers results across workstreams without sacrificing quality or missing deadlines.
  • Strong critical-thinking and problem-solving skills: demonstrates a decisive, creative approach to difficult business and technical challenges; translates problems into practical, scalable solutions.
  • Ability to develop, analyze, and modify complex processes, data structures, and models.
  • Ability to create and maintain thorough documentation, including requirements, functional/technical designs, and user manuals.
  • Excellent listening, communication, interpersonal, and presentation skills; ability to work with and interview management, consultants, and subject matter experts to gather, identify, and document complex business requirements.
  • Organizational ability: demonstrates a systematic, process-oriented approach; excels at cutting through ambiguity and turning chaos into order across large, multi-stakeholder projects.
  • Client service skills: consistently provides attentive, courteous, and informed service; willing to listen and collaborate with customers; driven to deliver practical, sustainable results.
  • Quality control mindset: checks data pipelines, new data sets, and reports for errors related to both data accuracy and presentation.
  • Self-motivated, independent, and resourceful; able to plan, organize, and execute projects with minimal supervision.
  • Effective in a team-oriented environment; works collaboratively with data engineers, BI analysts, business stakeholders, and external consultants.
  • This position requires the ability to manage data flows, perform analysis, generate summary reports, and communicate by voice or data while connected from the office, at home, or while traveling by laptop or mobile device regularly without regard to time zone or day of the week.

WHAT'S NEXT, APPLY NOW!
BISSELL is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.

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