Loop
eCommerce • SaaS • Enterprise
Loop is a comprehensive returns management platform designed for eCommerce brands. It helps businesses optimize operations related to returns, post-purchase experiences, and reverse logistics. The platform offers features like automated returns, fraud prevention, exchanges, insights, and workflows, which are customizable to fit any brand's needs. Loop integrates seamlessly with popular applications, especially those on Shopify, and allows businesses to handle millions of returns efficiently, driving customer loyalty and retaining revenue. The company's service is scalable, secure, and supported by an enterprise-level service delivery team.
51 - 200 employees
🛍️ eCommerce
☁️ SaaS
🏢 Enterprise
💰 $65M Series B on 2021-07
Data Engineer
Job not on LinkedIn
November 5
🏄 California – Remote
🌽 Illinois – Remote
+4 more states
💵 $118.4k - $177.6k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Loop
eCommerce • SaaS • Enterprise
Loop is a comprehensive returns management platform designed for eCommerce brands. It helps businesses optimize operations related to returns, post-purchase experiences, and reverse logistics. The platform offers features like automated returns, fraud prevention, exchanges, insights, and workflows, which are customizable to fit any brand's needs. Loop integrates seamlessly with popular applications, especially those on Shopify, and allows businesses to handle millions of returns efficiently, driving customer loyalty and retaining revenue. The company's service is scalable, secure, and supported by an enterprise-level service delivery team.
51 - 200 employees
🛍️ eCommerce
☁️ SaaS
🏢 Enterprise
💰 $65M Series B on 2021-07
📋 Description
• Maintain and optimize existing data pipelines and warehouse solutions for performance, reliability, and cost efficiency. • Support internal analytics and ML teams with data modeling, schema updates, and ad hoc data needs. • Contribute to dbt projects and assist in ensuring data quality, observability, and accessibility. • Write clean, tested, and documented code, and participate in code reviews. • Collaborate with senior data engineers to understand and contribute to new ingestion sources, ML pipelines, and other forward-looking initiatives. • Ensure internal stakeholders can access and use data effectively, enabling faster business insights and decision-making.
🎯 Requirements
• 4 years of hands-on experience building and maintaining data pipelines and data sets in a cloud environment (Snowflake, GBQ, Redshift, etc.). *We're expecting top candidates to have hands-on experience with Snowflake, specifically! • 2+ years of Python experience, creating reliable workflows and data processing scripts. • Strong SQL skills and experience with data modeling. • Experience with dbt or similar transformation tools. Familiarity with distributed systems and ETL/ELT processes. • Nice to have: Experience with data observability, lineage, or governance tools. • Nice to have: Exposure to BI tools and supporting analytics teams. • Nice to have: Experience working on cross-functional data projects. • Nice to have: Familiarity with Fivetran, Kafka, or modern data integration platforms.
🏖️ Benefits
• medical, dental, and vision insurance • flexible PTO • company holidays • sick & safe leave • parental leave • 401k • monthly wellness benefit • home workstation benefit • phone/internet benefit • equity
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