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Junior Data Engineer

Motion Recruitment

full-remotejuniorfixed-termbackenddata United States 2 days ago via LinkedIn

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Tags

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