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Data Bi Engineer Jobs in Michigan (NOW HIRING)

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Knowledge of Power BI or data visualization tools * Exposure to Generative AI / RAG / LLM concepts ... Cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps ...

Cloud Data Engineer

Ada, MI · On-site

$92K - $113K/yr

Data Engineer Department / Division: Data Engineering & Enterprise Integrations/ Data Warehousing ... Supporting BI and data warehouse migration initiatives , including large-scale supply chain data

Cloud Data Engineer

Ada, MI · On-site

$92K - $113K/yr

Cloud Data Engineer Posting Start Date: 5/18/26 Posting Location: Ada (Grand Rapids), MI ... Supporting BI and data warehouse migration initiatives , including large-scale supply chain data

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and ... Experience supporting BI or downstream analytics tools (e.g., Power BI) and enterprise data ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. * Responsible for assisting in configuration and scripting to implement ...

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in designing, building, and operating enterprise-grade data ... BI or downstream analytics tools (e.g., Power BI) and enterprise data platforms (e.g. Palantir ...

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Work closely with developers to structure data for efficient Power BI usage, including semantic ... modeling and partitioning. * Collaborate with business analysts and stakeholders to gather ...

Work closely with developers to structure data for efficient Power BI usage, including semantic ... modeling and partitioning. * Collaborate with business analysts and stakeholders to gather ...

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry ...

The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise ...

The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise ...

The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise ...

Senior Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python ...

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Data Bi Engineer information

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What are the key skills and qualifications needed to thrive as a Data BI Engineer, and why are they important?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.
What are popular job titles related to Data Bi Engineer jobs in Michigan? For Data Bi Engineer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Bi Engineer jobs? Cities in Michigan with the most Data Bi Engineer job openings:
Infographic showing various Data Bi Engineer job openings in Michigan as of July 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 76% In-person, 5% Hybrid, and 19% Remote job distribution.
Data Engineer

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 13 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers


Job description

Role Overview
We are looking for a DevOps / Data Engineer to build and manage scalable cloud infrastructure, CI/CD pipelines, and data workflows on AWS. This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms.
This role requires strong ownership, problem-solving skills, and the ability to work across DevOps, data, and engineering teams.
Key Responsibilities
  • Build and maintain CI/CD pipelines using GitHub Actions / Bitbucket Pipelines
  • Develop and manage Infrastructure as Code (IaC) using Terraform and AWS CDK (Terramate is a plus)
  • Manage and optimize AWS services (EC2, S3, Lambda, RDS, API Gateway)
  • Deploy and support containerized applications using Docker and Kubernetes/OpenShift
  • Develop and support data pipelines and ETL workflows using Python and SQL
  • Work with Databricks or similar data platforms for data processing and analytics
  • Implement DevSecOps practices, including SAST and secrets management (HashiCorp Vault)
  • Implement monitoring and observability solutions using tools like Grafana
  • Monitor systems, troubleshoot issues, and improve performance, reliability, and observability

Basic Requirements
  • Bachelor's degree in computer science, engineering, or related field
  • A minimum of 3 years of experience
  • Strong experience in AWS Cloud & DevOps
  • Strong programming skills in Python for automation and data processing
  • Hands-on with Terraform and AWS CDK
  • Experience with CI/CD tools (GitHub Actions, Bitbucket, Bamboo)
  • Experience with Docker, Kubernetes/OpenShift
  • Knowledge of data pipelines, ETL, and analytics workflows
  • Experience with monitoring and visualization tools such as Grafana
  • Familiarity with logging, monitoring, and incident management

Preferred Requirements:
  • Master's degree in computer science, engineering, or related field
  • Experience with Databricks or similar big data platforms
  • Experience with event-driven architecture (AWS Lambda)
  • Knowledge of Power BI or data visualization tools
  • Exposure to Generative AI / RAG / LLM concepts
  • Experience in enterprise or automotive data platforms
  • Familiarity with Terramate or similar IaC orchestration tools
  • Cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Kubernetes certifications)

Soft Skills
  • Strong problem-solving and analytical skills
  • Good communication and stakeholder collaboration
  • Experience working in Agile/Scrum environments

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

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