Junior Data Engineer
Motion Recruitment
full-remotejuniorfixed-termbackenddata United States 2 days ago via LinkedIn
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Google Cloud PlatformGCP DataprocBigQuerySQLdbtETL/ELTDimensional ModelingCI/CDAgileSupply Chain Data
About the role
Role Overview
Join a Supply Chain Data & AI team as a Junior Data Engineer in a 100% remote role with Pacific Standard Time (PST) hours required. You will build scalable, cloud-native data pipelines and products that support analytics and AI across sourcing, transportation, and warehouse management.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines
- Build and optimize data solutions using GCP services and SQL/dbt
- Create and maintain high-quality data models for reporting, analytics, and AI
- Ingest, transform, validate, and publish data from multiple enterprise systems
- Collaborate with Product Managers, Business Analysts, Data Architects, and engineering teams
- Develop reusable transformation components following engineering standards
- Optimize pipelines for performance, reliability, and cost efficiency
- Perform unit testing, data validation, and production support to ensure data quality
- Participate in Agile ceremonies (sprint planning, backlog refinement, code reviews)
- Document technical designs, data flows, and implementation details
Requirements
- Bachelor’s degree in Computer Science/Engineering/Information Systems (or equivalent practical experience)
- 4+ years of hands-on Data Engineering experience
- Proven experience building data solutions on Google Cloud Platform (GCP)
- Strong skills in Dataproc, BigQuery, SQL, and dbt
- Solid understanding of data modeling (e.g., dimensional modeling, analytics warehouse design)
- Experience architecting and scaling ETL/ELT pipelines for large datasets
- Familiarity with Git-based version control and CI/CD workflows
- Strong analytical and troubleshooting skills, with excellent communication
- Ability to work independently in an Agile team environment
Preferred Qualifications
- Apache Airflow (workflow orchestration)
- Apache Kafka or other event streaming platforms
- PySpark for distributed data processing
- Python for data engineering, scripting, and automation
- Data quality, metadata management, and data governance
- Retail/apparel or supply chain domain experience (transportation/logistics, WMS, distribution centers)
Contract / Logistics
- Begins as an 18-month W2 contract with remote flexibility (PST required)
- Potential for extension or conversion based on performance and business needs
About Motion Recruitment
Motion Recruitment is a talent organization that matches candidates with opportunities, including roles in engineering and data. The job is with a large fashion retail company, working within a Supply Chain Data & AI team to build cloud-native data infrastructure.
Scraped 8/2/2026