Data Engineer/GCP/Bigquery/Dearborn, MI LocalDearborn, MichiganHybridFull Time$125k - $140kOur 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 Bigquery 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 & ExperienceBachelor'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 SQLExperience with cloud data platforms (GCP, AWS, or Azure) or supporting on-prem to cloud migrationsExperience with BigqueryExperience validating data outputs, dashboards, and statistical or machine learning modelsStrong understanding of data structures, ETL processes, and analytical workflowsExperience troubleshooting data discrepancies and performing root cause analysisAbility to work across cross-functional teams, including data engineering, analytics, and business stakeholdersStrong attention to detail and commitment to data accuracy and qualityDesired Skills & ExperienceExperience migrating SAS-based analytical environments to cloud platformsExperience 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 cloudExperience supporting large-scale analytics or CRM data ecosystemsStrong documentation and process design skills to support repeatable migration frameworksAbility to translate technical findings into clear insights for non-technical stakeholdersExperience in large enterprise or highly regulated data environmentsWhat You Will Be DoingMigrate legacy analytical code (SAS, SQL, Python) and data pipelines from on-prem environments to GCP, refactoring workflows for modern cloud architecture and best practicesValidate and reconcile outputs between legacy and cloud environments to ensure consistency and accuracy across data, reporting, and modelsPerform regression testing and quality assurance across datasets, dashboards, and statistical/ML models to confirm functional parity post-migrationSupport migration and re-platforming of AI/ML and statistical models, troubleshooting discrepancies in data, code logic, and performancePartner with data engineering, analytics, and business teams to maintain continuity of business-critical reporting during migrationBuild automated testing, monitoring, and validation processes to ensure long-term data and model integrityDocument migration processes, code changes, and best practices, and contribute to ongoing optimization of analytics workflows in the cloudThe OfferBonus eligibleYou will receive the following benefits:Medical, Dental, and Vision InsuranceVacation TimeStock OptionsApplicants must be currently authorized to work in the US on a full-time basis now and in the future.Specialization:Data EngineeringCloud Engineer
Data Engineer/GCP/Bigquery/Dearborn, MI Local in dearborn at Unknown Company
This position is listed as full time and hybrid.