Data Engineer/Google Cloud Platform/Bigquery/Dearborn, MI Local

Dearborn, MI, US • Posted 30+ days ago • Updated 10 hours ago
Full Time
On-site
$125000 - $140000/yr
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Job Details

Skills

  • Marketing Intelligence
  • MI
  • Modeling
  • Computer Science
  • Data Science
  • Statistics
  • Mathematics
  • Programming Languages
  • SQL
  • Amazon Web Services
  • Microsoft Azure
  • Data Structure
  • Root Cause Analysis
  • Collaboration
  • Attention To Detail
  • SAS
  • Vertex
  • Extract
  • Transform
  • Load
  • Orchestration
  • Scalability
  • Customer Relationship Management (CRM)
  • Documentation
  • Process Modeling
  • Analytical Skill
  • SAS/SQL
  • Python
  • Google Cloud Platform
  • Google Cloud
  • Code Refactoring
  • Cloud Architecture
  • Regression Testing
  • Quality Assurance
  • Dashboard
  • Artificial Intelligence
  • Machine Learning (ML)
  • Statistical Models
  • Data Engineering
  • Reporting
  • Automated Testing
  • Migration
  • Optimization
  • Analytics
  • Workflow
  • Cloud Computing
  • Insurance
  • SAP BASIS

Summary

Our client is seeking an Analytics Migration Engineer to join their team on a full-time basis. In this role, you will lead the migration and modernization of analytical code, data pipelines, and statistical models from legacy on-premise environments to Bitquery in modern cloud platforms (Google Cloud Platform), ensuring analytical continuity as outputs, data, and AI/ML models are validated across environments. *This role is hybrid 3 days a week in Dearborn, MI*

You will work across data engineering, analytics, and data science teams to maintain business-critical reporting and modeling while enabling a scalable, cloud-based analytics ecosystem. This role blends migration execution, validation, and optimization, giving you the chance to help shape a modern, future-ready analytics environment.

Required Skills & Experience
  • Bachelor's Degree in a quantitative or technical field (Computer Science, Data Science, Statistics, Mathematics, Engineering, or related)
  • Experience with analytical programming languages such as SAS 9.4, SAS Viya, Python, and SQL
  • Experience with cloud data platforms (Google Cloud Platform, AWS, or Azure) or supporting on-prem to cloud migrations
  • Experience with Bigquery
  • Experience validating data outputs, dashboards, and statistical or machine learning models
  • Strong understanding of data structures, ETL processes, and analytical workflows
  • Experience troubleshooting data discrepancies and performing root cause analysis
  • Ability to work across cross-functional teams, including data engineering, analytics, and business stakeholders
  • Strong attention to detail and commitment to data accuracy and quality
Desired Skills & Experience
  • Experience migrating SAS-based analytical environments to cloud platforms
  • Experience validating and deploying machine learning models in cloud environments (e.g., Vertex AI)
  • Familiarity with automated testing frameworks and data pipeline orchestration tools (e.g., Airflow, Cloud Composer)
  • Experience optimizing analytical code and queries for performance and scalability in the cloud
  • Experience supporting large-scale analytics or CRM data ecosystems
  • Strong documentation and process design skills to support repeatable migration frameworks
  • Ability to translate technical findings into clear insights for non-technical stakeholders
  • Experience in large enterprise or highly regulated data environments
What You Will Be Doing
  • Migrate legacy analytical code (SAS, SQL, Python) and data pipelines from on-prem environments to Google Cloud Platform, refactoring workflows for modern cloud architecture and best practices
  • Validate and reconcile outputs between legacy and cloud environments to ensure consistency and accuracy across data, reporting, and models
  • Perform regression testing and quality assurance across datasets, dashboards, and statistical/ML models to confirm functional parity post-migration
  • Support migration and re-platforming of AI/ML and statistical models, troubleshooting discrepancies in data, code logic, and performance
  • Partner with data engineering, analytics, and business teams to maintain continuity of business-critical reporting during migration
  • Build automated testing, monitoring, and validation processes to ensure long-term data and model integrity
  • Document migration processes, code changes, and best practices, and contribute to ongoing optimization of analytics workflows in the cloud

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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: 10105282
  • Position Id: 882054
  • Posted 30+ days ago

Company Info

About Motion Recruitment Partners, LLC

Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.

Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.

We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.

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