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Data Engineer

Remote • Posted 7 hours ago • Updated 7 hours ago

Contract Independent

Contract W2

No Travel Required

Remote

$43 - $55/hr

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

GCP
Google Cloud Platform
SQL
ETL Pipelines
ETL
BigQuery
Kafka
Airflow
Looker
Tableau
Python
Supply Chain
Distribution
Retail

Summary

Data Engineer (BigQuery | Google Cloud Platform | Supply Chain / Distribution)

Location: Remote
Duration: Contract (12+ months, potential for extension)

Overview

We are seeking a Data Engineer with expertise in Google Cloud Platform (Google Cloud Platform), BigQuery, and SQL, along with experience supporting supply chain and distribution center operations.

This role focuses on building scalable data solutions that power logistics, inventory movement, fulfillment, and warehouse operations. The ideal candidate understands the complexity of supply chain data and can design high-performance pipelines to support real-time and batch analytics across distribution networks.

Key Responsibilities

Design, develop, and optimize data pipelines and ELT processes using BigQuery and Google Cloud Platform services
Write and tune complex, high-performance SQL queries across large-scale supply chain datasets
Build and maintain data models supporting warehouse operations, inventory flow, and logistics performance
Ingest and transform data from systems such as WMS (Warehouse Management Systems), TMS (Transportation Management Systems), and order management platforms
Support analytics related to inventory levels, order fulfillment, shipment tracking, labor productivity, and throughput
Partner with supply chain, operations, and analytics teams to deliver scalable data solutions
Ensure data quality, reliability, and governance across enterprise data platforms
Optimize performance and cost efficiency within BigQuery and Google Cloud Platform environments

Required Qualifications

4+ years of experience in Data Engineering
Strong hands-on experience with BigQuery
Advanced proficiency in SQL (complex joins, window functions, performance tuning)
Experience working within Google Cloud Platform (Google Cloud Platform)
Experience supporting supply chain, logistics, or distribution center data environments
Strong understanding of data modeling, ETL/ELT, and large-scale data processing

Preferred Qualifications

Experience with Python for data processing or automation
Familiarity with data orchestration tools (e.g., Airflow)
Experience with real-time or streaming data (e.g., Pub/Sub, Kafka)
Exposure to BI/analytics tools (Looker, Tableau, etc.)
Experience working with high-volume operational data in enterprise environments

What We''re Looking For

Engineers who understand supply chain and distribution complexity (inventory flow, fulfillment SLAs, transportation constraints)
Strong ownership mindset with the ability to deliver end-to-end data solutions
Ability to work in fast-paced, operationally critical environments
Strong communication skills to partner with both technical teams and operations stakeholders

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10362312
Position Id: 8934502
Posted 7 hours ago

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