Data Engineering Analyst

Dearborn, MI, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
USD 54.26 per hour
Fitment

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Job Details

Skills

  • Big Data
  • Customer Experience
  • Decision-making
  • Google Cloud Platform
  • Google Cloud
  • Dashboard
  • Data Processing
  • Collaboration
  • Data Quality
  • Reporting
  • Data Analysis
  • Data Engineering
  • SQL
  • Python
  • Extract
  • Transform
  • Load
  • Analytical Skill
  • Communication
  • Business Intelligence
  • Tableau
  • Microsoft Power BI
  • Cloud Computing
  • Analytics

Summary

Data Analytics Engineer - BigQuery & SQL


Location: Dearborn, MI (Hybrid)


Pay Rate: $54.26+/hour

We are seeking a highly analytical ADAS Data Analytics Engineer to support advanced driver-assistance systems (ADAS) including BlueCruise and Automatic Emergency Braking technologies. This hybrid role combines big data analytics, cloud-based data engineering, and business intelligence to transform vehicle performance data into actionable engineering insights.

The ideal candidate will have strong SQL and Google BigQuery expertise with experience building scalable data pipelines, optimizing large datasets, and creating impactful dashboards and visualizations. This role works closely with engineering and product teams to improve vehicle safety, performance, and customer experience through data-driven decision-making.

Key Responsibilities


  • Develop and maintain data pipelines using SQL, BigQuery, and Dataform/dbt within Google Cloud Platform

  • Analyze ADAS performance data to identify trends, anomalies, and improvement opportunities

  • Build dashboards and reporting solutions using Looker, Tableau, or Power BI

  • Translate complex data into clear, actionable insights for technical and non-technical stakeholders

  • Optimize query performance and improve large-scale data processing efficiency

  • Collaborate with engineering teams to support future ADAS feature development

  • Support data quality, governance, validation, and reporting initiatives


Qualifications


  • Bachelor's degree required

  • 1+ year of data analytics or data engineering experience

  • Advanced SQL and BigQuery experience required

  • Experience with Dataform, dbt, Python, or cloud-based ETL pipelines preferred

  • Strong analytical, troubleshooting, and communication skills

  • Experience with BI tools such as Tableau, Looker, or Power BI

  • Automotive, ADAS, or connected vehicle experience preferred


If you are passionate about automotive technology, cloud analytics, and data storytelling, click "Apply Now".
About Us

Advantage Technical connects top- talent in technology, engineering, and technical fields with forward-looking companies.


Advantage Technical is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other legally protected status. Advantage Technical offers reasonable accommodations for qualified individuals with disabilities; contact your local branch for inquiries. Advantage Technical is an E-Verify employer. See our Privacy Notice for Candidates and Employees/Contractors at By applying, you consent to receive AI-generated and non-AI-generated calls, texts, or emails from Staffmark Group, its affiliates, and partners. Frequency varies and message/data rates may apply. Reply STOP to cancel or HELP for help.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10118370
  • Position Id: 2024284
  • Posted 9 hours ago
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