Software Engineer at PayPal
Chennai, TN
—
Jul 13, 2026
Chennai, TN
Jul 21, 2026
What this job asks for AI summary
A data engineering role on PayPal's Credit Platform team, focused on building and maintaining production-grade data pipelines that serve credit products such as BNPL loans, credit cards, and merchant loans. Day-to-day work centers on pipeline development in Python and SQL, workflow orchestration with Apache Airflow, and data warehousing in BigQuery, with additional responsibility for data quality monitoring and supporting new-region data onboarding. Suited to engineers with a few years of data engineering experience in cloud environments.
Mid level · 2+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting has a structural ambiguity: the 'Minimum Qualifications' section gates only on 1+ years of experience plus a Bachelor's degree (or equivalent), while the 'What do you need to bring' section (which reads as a requirements block) demands 2–5 years and lists the full technical stack. Skills were extracted from the 'What do you need to bring' section as the operative requirements gate.
The minimum degree is listed as Bachelor's or Master's in the 'What do you need to bring' section, but the formal 'Minimum Qualifications' section explicitly accepts 'any equivalent combination of education and experience,' so the degree requirement is set to None.
Cloud platform experience is framed as 'GCP, AWS, or Azure' — GCP is listed first and aligns with BigQuery/Cloud Composer (also named in the JD), so GCP is the primary with AWS and Azure as alternatives.
Apache Airflow and Cloud Composer are listed as interchangeable orchestration options in the day-to-day responsibilities; Cloud Composer is captured as an alternative.
Data quality frameworks (Great Expectations, Soda Core) and legacy scheduler migration experience (UC4/Control-M) appear only under preferred/additional qualifications.
SOC classification is Medium confidence: the role is primarily a data pipeline/warehouse builder (pointing to 15-1243 Database Architects), but the emphasis on Python software engineering and SDLC practices also makes 15-1252 Software Developers a plausible fit.
Read the full posting
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