Data Engineer

Solomon Page is a specialty niche provider of staffing and executive search solutions. They are seeking a skilled Data Engineer to design, develop, and support scalable cloud-native data products and ETL/ELT pipelines on Google Cloud Platform (GCP) that drive analytics and AI initiatives across various domains.

Responsibilities:

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

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience)
• 4+ years of experience in Data Engineering
• Hands-on experience developing enterprise data solutions on Google Cloud Platform (GCP)
• Strong experience with Dataproc, BigQuery, SQL, and dbt
• Strong understanding of dimensional modeling and analytical data warehouse concepts
• Experience building scalable ETL/ELT pipelines for large datasets
• Familiarity with Git-based version control and CI/CD best practices
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication and collaboration skills
• Experience working in Agile development environments
• Experience with Apache Airflow for workflow orchestration
• Experience integrating Apache Kafka or other event-streaming platforms
• Working knowledge of PySpark for distributed data processing
• Strong Python programming experience for automation and data engineering
• Familiarity with data quality, metadata management, and data governance principles
• Experience within Retail, Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center operations