Data Engineer/GCP/Bigquery/Dearborn, MI Local

Kelly Services; Dearborn (MI); Hybrid; USD 125,000 - 140,000; Full time

Benefits offered by this job

Bonus eligible

Medical, Dental, and Vision Insurance

Vacation Time

Stock Options

Job summary

Kelly Services is seeking an Analytics Migration Engineer to lead the migration of analytical code, data pipelines, and models from on-prem to Google Cloud Platform, ensuring continuity of outputs and validated AI/ML models across environments.

The role is hybrid, three days a week in Dearborn, MI, and involves collaborating with data engineering, analytics, and data science teams to build a scalable cloud analytics ecosystem and ensure accuracy across reporting and modeling.

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 or on-prem-to-cloud migrations.
• Experience with BigQuery and data validation across environments.
• Ability to work across data engineering, analytics, and business stakeholders.

Responsibilities

• Migrate legacy analytical code and data pipelines to GCP with refactoring for cloud architecture.
• Validate outputs and reconcile results between on-prem and cloud environments.
• Perform regression testing and QA across datasets, dashboards, and models.
• Support migration of AI/ML models and optimize analytics workflows in the cloud.
• Collaborate with cross-functional teams to maintain business-critical reporting during migration.

Skills

SAS 9.4

SAS Viya

Python

SQL

Cross-functional collaboration

Data validation

Root cause analysis

Education

Bachelor's Degree in a quantitative or technical field

Tools

BigQuery

Airflow

Cloud Composer

Vertex AI

GCP / AWS / Azure cloud platforms

Job description

$125000 - $140000

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.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.