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Temporary Power Bi Developer Jobs in Michigan (NOW HIRING)

This role requires strong expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence ... Work closely with DevOps, data engineering, QA, and business stakeholders to ensure smooth delivery ...

Implement a comprehensive program to extract data using a computer programming language or collect ... Tableau, Cognos, Looker, Toad, Minitab, Power BI, Qlik, SSRS or any other * Develop ...

... Power BI) for data exploration. • Mandatory Skills: Snowflake Data Engineering. • Experience: 3-5 Years Company : Wipro is a technology services and consulting company focused on building ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) Preferred Qualifications: * Automotive industry experience, particularly in cost engineering, manufacturing, or product ...

GCP Devops Engineer (W2 Position)

Dearborn, MI · On-site

$48.50 - $66.50/hr

Strong knowledge of Power Bi * Pair programming experienceI * Strong knowledge of GCP core infrastructure experience in Cloud and on-prem tech stack. * Experience working in GCP based Big Data ...

Key Responsibilities: • Analyze engineering and cost-related datasets. • Perform data mining, trend analysis, and quantitative reporting. • Develop and maintain Power BI dashboards and ...

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Systems Engineer

Troy, MI · On-site

$60K - $65K/yr

The Systems Engineer is responsible for supporting the development, automation, and reporting ... Build and maintain reports and dashboards primarily using Power BI and Salesforce * Support the ...

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 ...

Data Analytics Engineer

Warren, MI · On-site

$107K - $129K/yr

Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to ...

Data Analytics Engineer

Warren, MI · Hybrid

$107K - $129K/yr

Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to ...

... engineering teams to develop technical documentation, procedural content, policy materials, and ... Experience with data visualization tools like Power BI The ideal candidate has experience in highly ...

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Temporary Power Bi Developer information

What is the difference between Temporary Power Bi Developer vs Temporary Data Analyst?

AspectTemporary Power Bi DeveloperTemporary Data Analyst
Required SkillsPower BI, data visualization, SQL, DAXExcel, SQL, data analysis, reporting
CertificationsPower BI certifications preferredData analysis certifications (e.g., Microsoft Data Analyst)
Work EnvironmentBusiness intelligence teams, analytics departmentsData teams, business units, reporting departments
Industry UsageFinance, marketing, operations, ITFinance, healthcare, retail, marketing

In summary, a Temporary Power Bi Developer specializes in creating and managing Power BI dashboards and reports, focusing on data visualization and BI solutions. A Temporary Data Analyst, on the other hand, performs broader data analysis tasks, often using Excel and SQL, and may not require Power BI expertise. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are the most commonly searched types of Power Bi Developer jobs in Michigan? The most popular types of Power Bi Developer jobs in Michigan are:
What cities in Michigan are hiring for Temporary Power Bi Developer jobs? Cities in Michigan with the most Temporary Power Bi Developer job openings:
Full Stack Engineer

Full Stack Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 14 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 seeking a Senior Full Stack Engineer to design, develop, and support scalable enterprise applications across frontend, backend, cloud, and data platforms. This role requires strong expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence, along with hands-on experience in modern frontend/UI development.
The ideal candidate will be responsible for building robust user-facing applications, integrating backend services and data pipelines, and ensuring performance, reliability, and observability across the full technology stack. This role requires strong ownership, collaboration, and the ability to work across engineering, DevOps, data, and business teams.
Key Responsibilities
  • Design, develop, and maintain end-to-end full stack applications, including frontend UI components, backend APIs, and cloud-native services
  • Build responsive, reusable, and user-friendly frontend interfaces using modern UI frameworks, ensuring performance, accessibility, and consistency across applications
  • Develop and support backend services and APIs for application integration, business logic, and data access
  • Architect and manage cloud-based solutions using AWS services such as EC2, S3, Lambda, RDS, API Gateway, and related services
  • Integrate applications with Databricks and AWS-based data platforms to support data processing, analytics, and reporting use cases
  • Enable business reporting and insight generation by supporting integration with Power BI dashboards and data models
  • Implement monitoring, observability, and application health dashboards using Grafana and cloud monitoring tools
  • Collaborate in Agile teams using JIRA for sprint planning and tracking, and maintain technical documentation in Confluence
  • Work closely with DevOps, data engineering, QA, and business stakeholders to ensure smooth delivery of features and releases
  • Troubleshoot production issues, perform root cause analysis, and improve application reliability, scalability, and maintainability
  • Contribute to architectural decisions, coding standards, reusable frameworks, and engineering best practices
  • Mentor junior developers and support knowledge sharing across frontend, backend, and platform teams

Basic Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • A minimum of 5 years of overall experience
  • Experience in full stack software engineering or application development
  • Strong hands-on experience in frontend/UI development using modern frameworks such as React, Angular, or similar
  • Strong experience in backend development using Python, Java, Node.js, or similar technologies
  • Solid expertise in AWS cloud services including EC2, S3, Lambda, RDS, API Gateway, and IAM
  • Experience integrating applications with Databricks or similar cloud-based data platforms
  • Experience working with Power BI for reporting integration, dashboard enablement, or data model support
  • Hands-on experience with Grafana for monitoring, dashboard creation, and observability
  • Good understanding of REST APIs, microservices architecture, and application integration patterns
  • Strong knowledge of SQL, data access patterns, and backend-to-data platform integration
  • Experience working in Agile teams using JIRA and Confluence
  • Strong debugging, troubleshooting, and performance optimization skills

Preferred Requirements
  • Experience with containerization and orchestration using Docker and Kubernetes/OpenShift
  • Exposure to CI/CD pipelines and DevOps practices
  • Familiarity with Databricks workflows, Spark, and lakehouse concepts
  • Experience with event-driven architecture and serverless design patterns
  • Exposure to Power BI administration or advanced dashboard integration
  • Knowledge of enterprise application security practices
  • Experience in automotive or enterprise-scale platforms
  • Exposure to Generative AI / RAG / LLM-enabled applications

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