Data Engineer - eCommerce

Data Engineer (BigQuery | GCP | eCommerce) Location: Remote Duration: Contract (12+ months, potential for extension) Rate: 52-55/hr - W2 No C2C contracts Overview We are seeking a Data Engineer with deep expertise in Google Cloud Platform (GCP), BigQuery, and SQL, along with experience supporting eCommerce data ecosystems. This role will focus on building scalable, high-performance data pipelines and models that power analytics, customer insights, and business-critical decision-making across digital commerce platforms. The ideal candidate brings a strong engineering mindset, hands-on development experience, and a solid understanding of eCommerce data such as transactions, customer behavior, and digital interactions. Key Responsibilities • Design, develop, and optimize data pipelines and ELT processes using BigQuery and GCP services • Write and tune complex, high-performance SQL queries across large-scale datasets • Build and maintain data models to support reporting, analytics, and business intelligence • Ingest and transform data from eCommerce platforms (orders, customers, product catalogs, clickstream data) • Partner with product, analytics, and business teams to translate requirements into scalable data solutions • Ensure data quality, governance, and reliability across the data ecosystem • Optimize performance and cost efficiency within BigQuery and GCP environments Required Qualifications • 4+ years of experience in Data Engineering • Experience supporting eCommerce companies • Strong hands-on experience with BigQuery • Advanced proficiency in SQL (complex joins, window functions, performance tuning) • Experience working within Google Cloud Platform (GCP) • Experience supporting eCommerce or digital platforms (transactions, customer data, clickstream, etc.) • 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 streaming data or real-time processing • Exposure to analytics tools (Looker, Tableau, etc.) • Background in high-growth or enterprise-scale digital environments What We're Looking For • Strong ownership mindset with the ability to build and scale data solutions end-to-end • Ability to work in fast-paced, data-driven environments (especially eCommerce) • Engineers who understand both data infrastructure and business impact • Effective communicators who can collaborate across technical and non-technical teams Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status").