SDE III - Data Engineering

Overview

Glance is hiring an SDE-3 Data Engineer to design, build, and operate large-scale data platforms and capabilities that power AI-driven commerce experiences.

What you'll do

• Design and develop scalable batch and real-time data pipelines.
• Build and maintain ETL/ELT frameworks for events and catalog updates.
• Create systems for user identity resolution and cross-surface signal aggregation.
• Develop ingestion and enrichment pipelines for affiliate feeds, merchant catalogs, and product metadata.
• Build feature generation frameworks for ML and recommendation systems.
• Develop internal AI-powered developer tools and self-service platforms.
• Own production services with observability, monitoring, and incident response.

What you'll need

• 6–10 years of experience in data engineering, distributed systems, or data platform development.
• Strong experience owning large-scale production systems end-to-end.
• Hands-on experience with Apache Spark, Kafka, Flink, and Airflow.
• Strong experience with distributed batch and streaming architectures.
• Experience with pipeline reliability practices including lineage, monitoring/alerting, and reconciliation.
• Programming skills in Python, Scala, or Java, and SQL.
• Experience with GCP and tools such as Databricks and BigQuery.

Details

• Role title: SDE III - Data Engineering (SDE-3 Data Engineer, Data Engineering & Capabilities Team).
• Focus areas include data pipelines, identity systems, catalog infrastructure, feature stores, and self-service capabilities.