We are seeking a skilled Data Engineer to join the Data & AI Supply Chain organization. In this role, you will design, develop, and support scalable cloud-native data products and ETL/ELT pipelines on Google Cloud Platform (GCP) that power analytics and AI initiatives across Sourcing, Transportation, and Warehouse Management (WMS) domains.You will collaborate with Product Managers, Data Architects, Solution Architects, Business Analysts, and engineering teams to transform enterprise data into trusted, high-quality data assets that drive business insights and operational excellence.

• Contract Duration: 18+ Months
• Rate Range: $30–39/hr on W2 

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.

Required Qualifications:

• 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.

Required Skills:

• Google Cloud Platform (GCP)

• Dataproc

• BigQuery

• SQL

• dbt

• ETL / ELT

• Data Modeling

• Data Warehousing

• Git

• CI/CD

• Agile Methodologies

Technical Skills:

• Google Cloud Platform (GCP)

• Dataproc

• BigQuery

• SQL

• dbt (Data Build Tool)

• ETL / ELT Development

• Git

• CI/CD Pipelines

• Data Modeling

• Cloud-native Data Engineering

Preferred Qualifications:

• 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.

If you meet the required qualifications and are interested in this role, please apply today. 

The Solomon Page Distinction

Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.

About Solomon Page

Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.

Opportunity Awaits.
 

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