Data Engineer

Data Engineer | Google Cloud Platform (GCP) | BigQuery | dbt 📍 Location: Remote (U.S.) 💼 Employment Type: W2 Contract 📅 Duration: 12+ Months (Strong Potential for Extension) 💰 Pay Rate: $30.00–$40.00/hour (W2) 👨 💻 Experience: 0–6 Years About the Opportunity We're partnering with one of the world's leading Fortune 500 Retail & Apparel organizations to expand their Supply Chain Data & AI team. In this role, you'll help build the cloud-based data platform that powers sourcing, transportation, and warehouse operations across a global supply chain. If you're passionate about modern data engineering and enjoy working with Google Cloud technologies, this is an excellent opportunity to make a real impact. What You'll Do • Design, build, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP) • Develop and optimize data solutions using BigQuery, Dataproc, SQL, and dbt • Build robust data models to support reporting, analytics, and AI-driven initiatives • Ingest, transform, validate, and publish data from multiple enterprise sources • Collaborate with Product Managers, Data Architects, Solution Architects, Business Analysts, and cross-functional engineering teams • Develop reusable data transformation frameworks and follow modern engineering best practices • Optimize pipelines for performance, scalability, reliability, and cost efficiency • Perform unit testing, data validation, production support, and technical documentation • Participate in Agile development, sprint planning, code reviews, and backlog refinement Required Qualifications • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience • 4+ years of hands-on experience in Data Engineering • Strong experience building production data solutions on Google Cloud Platform (GCP) • Hands-on expertise with BigQuery, Dataproc, SQL, and dbt • Strong understanding of dimensional data modeling and modern data warehouse concepts • Experience designing and maintaining production-scale ETL/ELT pipelines • Experience with Git and CI/CD workflows • Excellent analytical, troubleshooting, and communication skills Preferred Qualifications • Apache Airflow • Apache Kafka or other streaming technologies • PySpark • Python • Data governance, metadata management, or data quality frameworks • Experience in Retail, Apparel, Supply Chain, Transportation & Logistics, or Warehouse Management Systems (WMS) Interested? If this opportunity aligns with your background, I'd love to connect! 📧 Email your updated resume to: kaushik@trilyonservices.com Please include your best phone number and a convenient time to connect for a quick discussion. Feel free to like, comment, or share this opportunity with your network if you know someone who would be a great fit. EEO: Trilyon is an Equal Opportunity Employer, committed to fairness and respect for all individuals. We value diversity in age, disability, ethnicity, gender, gender identity, religion, and sexual orientation, believing it drives innovation and better service. Employment decisions are made impartially, without regard to any protected characteristic under federal, state, or local law. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable. Warm Regards, Kaushik Gorai Senior Recruitment Professional E: kaushik@trilyonservices.com