Staff Software Engineer, Data Engineering Solutions

Stripe · Bengaluru · 8122 Data Foundations · listed January 20, 2026

The shape of it

Seniority
Staff
Experience asked
5–10 years
Where
Not stated
Requirements listed
0
Length
754 words

In the posting’s own words

We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data.

Tools and skills named

Data
  • Data pipelines4×
  • Spark4×
  • Airflow3×
  • Hadoop
Languages
  • Java2×
  • Scala2×
  • SQL2×
  • Python
Cloud & infra
  • Kafka3×
  • AWS
Go to market
  • Go-to-market2×
Ways of working
  • Cross-functional
  • Mentorship
Models & research
  • LLM
Operations & finance
  • Recruiting

Words the posting leans on

  • data33×
  • experience7×
  • product7×
  • data pipelines4×
  • data warehouses4×
  • requirements4×
  • scale4×
  • spark4×
  • airflow3×
  • data engineering3×
  • datasets3×
  • flink3×
  • kafka3×
  • trino3×
  • users3×
  • ambiguous2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

The posting, your resume, and the gaps between them. One click loads all three.

More open at Stripe

every open role at Stripe

How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Stripe on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.