Data Engineer– Data & AI, Supply Chain
Location – Remote (PST hours)
Duration – 12+ months
 
Client is seeking a skilled Data Engineer to join the Supply Chain Data & AI Organization. This role will focus on developing and supporting scalable data products and data pipelines that enable analytics and AI initiatives across the Sourcing, Transportation, and Warehouse Management (WMS) domains.

• As a Data Engineer, you will work closely with Product Managers, Data Architects, Solution Architects, Business Analysts, and fellow engineers to design, build, test, and maintain cloud-native data solutions on Google Cloud Platform (GCP). You will play a key role in transforming enterprise data into trusted, high-quality data assets that drive business insights and operational excellence.
   

Key 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 that support 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 understand business requirements and deliver scalable data solutions.
• Develop reusable data transformation components and adhere to established engineering standards and best practices.
• Optimize data processing performance, reliability, 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, and code reviews.
• Document technical designs, data flows, and implementation details.
   

Required Qualifications

• 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 data solutions on Google Cloud Platform (GCP).
• Strong experience with: Dataproc, BigQuery, SQL, dbt (Data Build Tool)
• Strong knowledge of data modelling techniques, including dimensional modelling and analytical data warehouse concepts.
• Experience building scalable ETL/ELT pipelines and processing large datasets.
• Familiarity with software development best practices, including Git-based version control and CI/CD.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration skills.
  
  Preferred Qualifications
• Experience with Apache Airflow for workflow orchestration.
• Experience integrating with Apache Kafka or other event streaming platforms.
• Working knowledge of PySpark for distributed data processing.
• Experience using Python for data engineering, scripting, and automation.
• Knowledge of data quality, metadata management, and data governance principles.
• Domain Experience (Highly Desirable): Experience in one or more of the following domains is highly desirable: Retail industry (Apparel), Supply Chain data platforms, Transportation and Logistics, Warehouse Management Systems (WMS), Distribution Center operations
  
  Desired Attributes
• Strong problem-solving and analytical skills.
• Ability to work independently while collaborating effectively within cross-functional Agile teams.
• Commitment to delivering high-quality, reliable, and scalable data solutions.
• Eagerness to learn new technologies and continuously improve engineering practices.
• Customer-focused mindset with the ability to translate business requirements into effective technical solutions.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $40.00/hr - $42.00/hr.