[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Comprehensive benefit program for hourly employees
- Medical
- Dental
- 401(k)
- Direct deposit
- Commuter benefits
- Including freelancers
Company Overview