

Solomon Page
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with 8+ years of experience in Data Engineering, focusing on GCP, Dataproc, BigQuery, SQL, and dbt. Contract length is unspecified, with a pay rate of $60 to $65/hr on W2, located remotely.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Pleasanton, CA
-
🧠 - Skills detailed
#Apache Kafka #"ETL (Extract #Transform #Load)" #Data Ingestion #AI (Artificial Intelligence) #Data Engineering #Kafka (Apache Kafka) #Metadata #dbt (data build tool) #Business Analysis #Leadership #Monitoring #Apache Airflow #Data Architecture #Data Warehouse #GCP (Google Cloud Platform) #Python #Cloud #GIT #Documentation #Data Management #Data Governance #BigQuery #Spark (Apache Spark) #SQL (Structured Query Language) #Strategy #Data Quality #Data Pipeline #Scala #Code Reviews #PySpark #Airflow #Agile
Role description
We are seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI organization. In this role, you will design, build, and optimize cloud-native data platforms on Google Cloud Platform (GCP) to support enterprise data products and analytics across Sourcing, Transportation, and Warehouse Management (WMS). You'll collaborate with cross-functional teams to deliver scalable, AI-ready data solutions that drive business insights and operational excellence.
• Pay range :$60 to $65/hr on w2
Responsibilities:
• Design, develop, and implement scalable data pipelines and data products using GCP, Dataproc, BigQuery, SQL, and dbt.
• Build and optimize ETL/ELT pipelines for enterprise data ingestion, transformation, and publishing.
• Design scalable data models for analytical and operational reporting.
• Collaborate with Product Managers, Architects, Business Analysts, and stakeholders to translate business needs into technical solutions.
• Lead technical design sessions, perform code reviews, and mentor engineering team members.
• Optimize cloud data platforms for performance, scalability, reliability, and cost efficiency.
• Implement monitoring, testing, CI/CD, and engineering best practices.
• Support production issues, continuous improvements, and Agile development processes.
• Contribute to reusable frameworks, documentation, and engineering standards.
Required Qualifications:
• 8+ years of experience in Data Engineering with technical leadership on enterprise data projects.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expert knowledge of Dataproc, BigQuery, SQL, and dbt.
• Experience designing modern ETL/ELT pipelines and cloud-native data architectures.
• Strong understanding of dimensional modeling, normalized data models, and data warehouse design.
• Experience with Git, CI/CD pipelines, and engineering best practices.
• Preferred experience with Apache Airflow, Apache Kafka, PySpark, and Python.
• Familiarity with data quality, metadata management, and data governance.
• Experience in Retail (Apparel), Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center operations is highly preferred.
• Excellent communication, problem-solving, and collaboration skills.
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.
We are seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI organization. In this role, you will design, build, and optimize cloud-native data platforms on Google Cloud Platform (GCP) to support enterprise data products and analytics across Sourcing, Transportation, and Warehouse Management (WMS). You'll collaborate with cross-functional teams to deliver scalable, AI-ready data solutions that drive business insights and operational excellence.
• Pay range :$60 to $65/hr on w2
Responsibilities:
• Design, develop, and implement scalable data pipelines and data products using GCP, Dataproc, BigQuery, SQL, and dbt.
• Build and optimize ETL/ELT pipelines for enterprise data ingestion, transformation, and publishing.
• Design scalable data models for analytical and operational reporting.
• Collaborate with Product Managers, Architects, Business Analysts, and stakeholders to translate business needs into technical solutions.
• Lead technical design sessions, perform code reviews, and mentor engineering team members.
• Optimize cloud data platforms for performance, scalability, reliability, and cost efficiency.
• Implement monitoring, testing, CI/CD, and engineering best practices.
• Support production issues, continuous improvements, and Agile development processes.
• Contribute to reusable frameworks, documentation, and engineering standards.
Required Qualifications:
• 8+ years of experience in Data Engineering with technical leadership on enterprise data projects.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expert knowledge of Dataproc, BigQuery, SQL, and dbt.
• Experience designing modern ETL/ELT pipelines and cloud-native data architectures.
• Strong understanding of dimensional modeling, normalized data models, and data warehouse design.
• Experience with Git, CI/CD pipelines, and engineering best practices.
• Preferred experience with Apache Airflow, Apache Kafka, PySpark, and Python.
• Familiarity with data quality, metadata management, and data governance.
• Experience in Retail (Apparel), Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center operations is highly preferred.
• Excellent communication, problem-solving, and collaboration skills.
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.






