Data Engineer - Data & AI, Supply Chain (Remote)

Stage 4 Solutions is seeking an experienced Data Engineer to join their Data & AI Supply Chain Organization. This role focuses on designing, developing, and supporting scalable cloud-based data products and data pipelines that power analytics and AI initiatives across various Supply Chain domains.

Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP)
• Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt
• Develop and maintain scalable data models that support analytics, reporting, and AI initiatives
• Ingest, transform, validate, and publish data from multiple enterprise source systems
• Partner with Product Managers, Business Analysts, Data Architects, and Solution Architects to deliver business-driven data solutions
• Develop reusable data transformation components following engineering standards and best practices
• Optimize data processing performance, reliability, and cost efficiency
• Perform unit testing, data validation, troubleshooting, and production support to ensure high-quality data solutions
• Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews
• Create and maintain technical documentation including data flows, solution designs, and implementation details

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
• 4+ years of Data Engineering experience
• Hands-on experience building cloud-native data solutions on Google Cloud Platform (GCP)
• Strong Experience With Dataproc
• Strong Experience With BigQuery
• Strong Experience With SQL
• Strong Experience With dbt (Data Build Tool)
• Experience designing and building scalable ETL/ELT pipelines
• Strong knowledge of dimensional data modeling and analytical data warehouse concepts
• Experience working with Git-based version control and CI/CD practices
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication and collaboration skills
• Experience with Apache Airflow
• Experience With Apache Kafka Or Other Event Streaming Platforms
• Experience with PySpark
• Python programming experience for data engineering and automation
• Knowledge of data quality, metadata management, and data governance principles