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Configuration Jobs in Michigan (NOW HIRING)

Showing results 41-60

Configuration information

See Michigan salary details

$32.7K

$83.6K

$125.9K

How much do configuration jobs pay per year?

As of Aug 20, 2026, the average yearly pay for configuration in Michigan is $83,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $97,600.00 per year, depending on experience, location, and employer.

What is a configuration job?

Configuration jobs involve setting up, customizing, and maintaining systems, software, or hardware to ensure they meet specific requirements and function efficiently. Professionals in configuration roles manage the setup of IT systems, monitor changes, and implement updates to ensure that everything operates smoothly and securely. These jobs are critical in technology and engineering environments where precise system settings and documentation are essential for performance and compliance.

What are the key skills and qualifications needed to thrive as a configuration manager?

To thrive as a Configuration Manager, you need expertise in configuration management processes, change control, and documentation, usually supported by a degree in information technology or engineering. Familiarity with tools like ServiceNow, Jira, or IBM Rational, and certifications such as ITIL or CMII, are commonly required. Strong attention to detail, problem-solving abilities, and effective communication skills help ensure accurate tracking and coordination of system changes. These competencies are critical for maintaining system integrity, compliance, and efficiency in managing complex IT environments.

What are some common challenges faced by configuration analysts, and how can they be addressed?

Configuration Analysts often encounter challenges related to maintaining accurate documentation, managing frequent changes, and ensuring consistency across multiple systems or environments. Keeping configuration records up-to-date can be demanding, especially in fast-paced IT environments with complex infrastructures. To address these challenges, it’s important to establish clear processes for change management, use robust configuration management tools, and foster strong communication with development, operations, and QA teams. Regular audits and continuous training also help minimize errors and maintain system integrity.

What is the difference between Configuration vs Network Technician?

AspectConfiguration
Required CredentialsTypically certifications like CompTIA A+ or Network+; familiarity with hardware/software setup
Work EnvironmentOffice, data centers, or client sites; involves hands-on setup and adjustments
Employer & Industry UsageIT companies, hardware vendors, and service providers
Common Search & ComparisonFocuses on setting up and customizing systems or networks

While both roles involve technical skills, Configuration primarily centers on setting up and customizing hardware or software systems, whereas Network Technicians focus on maintaining and troubleshooting network infrastructure. Understanding these differences helps clarify job responsibilities and required skills in the IT industry.

Is configuration management a good job?

Configuration management is a valuable role in IT and software development, focusing on maintaining system consistency and automating deployment processes. It often requires knowledge of tools like Ansible, Puppet, or Chef, and can offer stable employment with opportunities for certification and career growth.

What are the most commonly searched types of Configuration jobs in Michigan?

The most popular types of Configuration jobs in Michigan are:

What job categories do people searching Configuration jobs in Michigan look for?

The top searched job categories for Configuration jobs in Michigan are:

What cities in Michigan are hiring for Configuration jobs?

Cities in Michigan with the most Configuration job openings:

Infographic showing various Configuration job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, 5% Part Time, 2% Temporary, 6% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $83,617 per year, or $40.2 per hour.

Data Engineer - Vehicle Configuration Optimization

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Posted 29 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers


Job description

We are seeking a Data Engineer to help build and scale the data foundation for our Vehicle Configuration Optimization (VCO) initiative. This role will focus on ingesting, transforming, and structuring data from enterprise systems (e.g., Snowflake data lake) into Databricks, enabling advanced analytics and modeling downstream.
This is an ideal role for an early-to-mid career engineer who thrives in building reliable, scalable data systems and wants to work at the intersection of automotive data and advanced analytics.
Key Responsibilities:
  • Build and maintain data pipelines that ingest data from Snowflake into Databricks
  • Design and implement data transformations aligned to the medallion architecture (Bronze/Silver/Gold layers)
  • Ensure pipeline health, stability, monitoring, and performance optimization
  • Develop robust ETL/ELT workflows using Python and SQL
  • Create clean, curated datasets to support analytics, simulation, and machine learning use cases
  • Partner closely with data scientists, analysts, and business stakeholders to understand data needs
  • Implement data quality checks, validation processes, and governance standards

Basic Qualifications:
  • Minimum 5 years of experience in data engineering or similar role
  • Bachelors Degree
  • Strong hands-on experience with Databricks (critical requirement)
  • Proficiency in SQL and Python
  • Experience building and maintaining data pipelines and ETL processes
  • Familiarity with cloud data platforms (Azure preferred, but AWS/GCP acceptable)
  • Solid understanding of data modeling and medallion architecture concepts

Preferred Qualifications:
  • Experience with Snowflake and data lake architectures
  • Exposure to automotive, connected vehicle, or IoT datasets
  • Experience with Spark / PySpark
  • Familiarity with pipeline orchestration and monitoring tools

Understanding of downstream analytics or ML use cases

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