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Glance

SDE III - Data Engineering

Glance · Bangalore

Posted about 3 months ago

or apply directly on Glance's site. We never take the application ourselves.

Is this posting real?

This role has been open
79 days
Glance's roles stay open a median of 80 days
Reposted
No
Salary listed
No
12% of Glance's roles list one
Ghost-job risk at Glance
high
48 stale, 1 reposted of 49 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Glance's own greenhouse board since 2026-08-03. Full hiring picture for Glance.

About this role

As an SDE-3 Data Engineer at Glance, you will design, develop, and operate large-scale data platforms that support AI-driven commerce experiences. Your role involves building scalable data pipelines, developing data products for analytics and personalization, and ensuring the reliability and efficiency of data systems. You will collaborate with various teams to enhance data capabilities and improve operational excellence.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Glance as an employer.

What you 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
  • Strong hands-on experience with Apache Spark, Kafka, Flink, and Airflow
  • Experience in batch and streaming architectures
  • Strong understanding of dimensional modeling, data warehousing, and large-scale schema design
  • Experience managing complex datasets and evolving schemas

Nice to have

  • Experience working with product catalogs, affiliate commerce platforms, and merchant feeds
  • Experience with identity resolution, audience platforms, and customer 360 systems
  • Experience building feature stores, training data pipelines, and real-time inference data systems
  • Exposure to LLM-powered developer tools, agents and copilots, and automated debugging workflows

Worth weighing

  • No salary listed
  • Role is not focused solely on ETL or platform operations, emphasizing hands-on engineering and technical leadership
  • Expectations include owning critical systems and driving technical decisions, which may involve significant responsibility

Summarised from Glance's posting. Read the full original.

Listed by Glance on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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