Data Engineer/GCP/Bigquery/Dearborn, MI Local

Motion Recruitment Partners LLC; Dearborn (MI); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Bonus eligible

Medical, Dental, Vision Insurance

Vacation Time

Stock Options

Job summary

Motion Recruitment Partners LLC is seeking an Analytics Migration Engineer to lead the migration of analytical code, data pipelines, and models from on‑prem to GCP across data science, analytics, and data engineering teams. The role focuses on validating continuity of outputs, dashboards, and AI/ML models during migration.

The ideal candidate will have SAS 9.4, SAS Viya, Python, SQL, and cloud experience (GCP/AWS/Azure), with strong ETL and data accuracy skills for a hybrid work setup in

Qualifications

• Bachelor's degree in a quantitative or technical field.
• Experience with SAS 9.4, SAS Viya, Python, and SQL.
• Experience with cloud data platforms (GCP, AWS, or Azure) or supporting on-prem to cloud migrations.
• Experience with BigQuery and validating data outputs, dashboards, and statistical or ML models.
• Strong understanding of data structures, ETL, and analytical workflows.
• Experience troubleshooting data discrepancies and performing root cause analysis.
• Ability to work across cross-functional teams and stakeholders.
• Strong attention to detail and commitment to data accuracy and quality.

Responsibilities

• Migrate legacy analytical code (SAS, SQL, Python) and data pipelines from on‑prem to GCP, refactoring for modern cloud architecture.
• Validate and reconcile outputs between legacy and cloud environments for consistency and accuracy.
• Perform regression testing and QA across datasets, dashboards, and models to ensure functional parity post‑migration.
• Support migration and re-platforming of AI/ML and statistical models, troubleshooting discrepancies.
• Collaborate with data engineering, analytics, and business teams to maintain continuity of reporting during migration.
• Build automated testing, monitoring, and validation processes for long‑term data/model integrity.
• Document migration processes, code changes, and best practices for repeatable frameworks.

Skills

SAS 9.4

SAS Viya

Python

SQL

GCP

AWS

Azure

BigQuery

Data validation

ETL processes

Cross-functional teamwork

Data accuracy

Education

Bachelor's degree in quantitative field

Tools

Airflow

Cloud Composer

Job description

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 (GCP), 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 (GCP, 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 GCP, 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.