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
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💰 - Day rate
520
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🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Pleasanton, CA
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🧠 - 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.