Job Title Data Engineer


Live Selling Starts at CommentSold.

CommentSold offers retailers a complete live sales solution. From onboarding and strategy, superior go-live technology, and live selling best practices to backend solutions for inventory, invoicing, and fulfillment–our team is there to guide a top-notch customer experience every step of the way.

Pop.store is a next-generation social monetization platform that gives creators the website they need to grow and scale their business. Unlike social platforms where algorithms control reach, pop.store empowers creators to own their audience and contacts, build direct relationships with fans, and reach out to them anytime. From showcasing content and selling products to hosting exclusive live streams and building communities, pop.store helps creators turn influence into a sustainable business — with full control at every step.

Pop.store is part of CommentSold, America’s #1 live selling SaaS platform and currently has over 50 people based out of India. 

Our Engineering team stays close to our customers, building the tools to deliver on our promise to make running their business easier. We make decisions fast, and priorities change as we adapt to the needs of our industry so we welcome folks that relish in the challenges of pace. We believe in quick iteration and in-the-moment feedback, so we can work collectively to build the best team and product.
 

Role Overview

We are hiring a Data Engineer focused on frontend event tracking and analytics reporting.

This role owns Segment event instrumentation, data reliability, and dashboarding for

product and business teams.

Key Responsibilities

• Define, implement, and maintain frontend analytics events using Segment
• Partner with frontend teams to ensure correct event firing, naming, and schemas
• Build and manage data pipelines from Segment into BigQuery
• Use AWS orchestration and Google Cloud Functions for data processing
• Design analytics ready data models in BigQuery
• Build and maintain dashboards in Power BI, Looker, or similar tools
• Ensure data quality, documentation, and metric consistency

Required Qualifications

• Experience with Segment event tracking
• Strong SQL and BigQuery experience
• Hands on experience with BI tools like Power BI or Looker
• Familiarity with frontend analytics and event driven systems
• Experience working with cloud based data pipelines

Tech Stack

Segment, BigQuery, AWS, Google Cloud Functions, Power BI or Looker1