Data Engineer

🔥 1 hour ago

🏄 California – Remote

🏄 California – Remote

💵 $135.7k - $152.7k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Liquidity Services

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1999

📦 Logistics

🏪 Marketplace

🛍️ eCommerce

Logistics • Marketplace • eCommerce

Liquidity Services is an online marketplace and asset recovery company that helps organizations monetize surplus, returned, obsolete and used assets through auctions, direct sales, and managed liquidation services. The company provides industrial, retail and government solutions including asset valuation, returns management, e-commerce seller self-service, and marketing to maximize recovery across hundreds of asset categories. Liquidity Services operates multiple marketplaces and platforms, serving thousands of sellers and millions of buyers worldwide to convert excess assets into cash.

📋 Description

• Design, develop, and maintain data pipelines to process and transform large volumes of data efficiently. • Normalize and aggregate data across multiple cloud platforms, including AWS, Azure, and Google BigQuery. • Leverages APIs for data access and integration with internal and external systems. • Work with web and transactional data to support analytics and business intelligence initiatives. • Ensure data quality, integrity, and security across all stages of the data lifecycle. • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. • Optimize data workflows for performance and cost efficiency in cloud environments.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field • Minimum of 8+ years of experience working in a large-scale organization • Proven experience with AWS, Azure, and BigQuery for data storage and processing. • Strong proficiency in SQL, Python, and data transformation tools is a must. • Hands-on experience in building ETL pipelines, data orchestration frameworks, and RESTful APIs. • Experience handling large-scale datasets and optimizing data workflows. • Familiarity with e-commerce industry data, including web analytics and transactional data. • Knowledge of data modeling, normalization, and aggregation techniques. • Experience with distributed systems and big data technologies (e.g., Spark, Redshift, Hadoop). • Solid understanding of data governance, security, and compliance in cloud environments. • Exposure to real-time data processing and streaming platforms (e.g., Kafka).

🏖️ Benefits

• Competitive wages • Healthcare (medical, dental, vision, prescription drugs, FSAs) • 401(k) plan • Paid time off (PTO) and holidays • Paid parental leave • Life and disability insurance • Employee Assistance Program (EAP) • Professional development and tuition assistance