1

Redshift Jobs in Michigan (NOW HIRING)

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience

Senior Data Engineer

Troy, MI · Hybrid

$100K - $136K/yr

Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) Strong Experience with Semi-Structured Data (XML ...

Senior Data Engineer

Troy, MI · Hybrid

$100K - $136K/yr

Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) Strong Experience with Semi-Structured Data (XML ...

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) Strong Experience with Semi-Structured Data (XML ...

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) Strong Experience with Semi-Structured Data (XML ...

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) Strong Experience with Semi-Structured Data (XML ...

Showing results 21-40

Redshift information

What is a Redshift?

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 skills and qualifications are needed for a Redshift position?

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 challenges do professionals working with Amazon Redshift face, 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.

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 in data engineering, analysis, or related roles, depending on the employer's policies. Remote work availability varies by organization and role requirements.

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:

Infographic showing various Redshift job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, 9% Part Time, 2% Temporary, 8% Contract, and 1% Nights. Highlights an 67% Physical, 8% Hybrid, and 25% Remote job distribution.

Full-Stack Data Engineer

Troy, MI • On-site

Hearst Newspapers
Newspaper Publishers • 1 - 5K employees

Full-time

Re-posted 28 days ago


Job description

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS

MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR's primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.

We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform.

This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data. Hearst/MOTOR Information Systems will be the best and last place you'll ever work!

Required Experience (Must Have)

  • Expert Python Developer

  • Strong SQL Developer

  • Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)

  • Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)

  • Strong Automation Experience 

  • Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) 

  • Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

  • Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

  • Experience with Git and Azure DevOps

  • Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)

  • Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)

Helpful Experience (Nice to Have)

  • Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases

  • Experience with Automotive Data / Industry

  • Experience with Agile / Scrum

Primary Responsibilities

  • Analyze large, and complex, data sets
  • Design, develop and coordinate the generation of Data Pipelines
  • Work collaboratively with team to plan and solve complex problems
  • Design for, or optimize existing pipelines, for performance and cost

EEO EMPLOYER