Senior Data Engineer at Susquehanna International Group, LLP
Bala Cynwyd (Philadelphia Area), PA
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Jul 5, 2026
Bala Cynwyd (Philadelphia Area), PA
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on designing, building, and supporting large-scale data pipelines and platforms that serve middle- and back-office systems. The work spans batch and streaming processing, data modeling, and performance tuning across modern distributed data technologies. The posting targets experienced engineers with a background in capital markets or financial services, ideally with domain knowledge in Operations or Compliance.
Senior level · 5+ years · National
“or” means any one of them counts — you don't need all of them.
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 (5)
The technology list (Spark, Databricks, Trino, Iceberg, Snowflake, Parquet, Apache Arrow, Polars, and/or Kafka) is presented under the requirements heading but with 'such as' and 'and/or' qualifiers, indicating the candidate needs strong experience with modern data engineering tools from this set rather than every named tool. Spark and Databricks are the most prominent anchors; the others (Kafka, Snowflake, Iceberg, Parquet, Apache Arrow, Polars) are treated as preferred/contextual given the open-ended 'and/or' framing.
Capital markets or financial services industry experience is explicitly stated as required; Operations and/or Compliance domain knowledge is listed as 'highly preferred'. Neither maps to a concrete technology skill and so are not included in the skills list.
On-premises data platform experience is listed as 'preferred', not required.
No work location or metro area is specified in the posting. The #LI-RH1 tag suggests a recruiter-sourced role but gives no geographic signal.
The role sits at the boundary between 15-1243 (Database/Data Architects — pipeline and platform design) and 15-1252 (Software Developers — Python development and distributed processing code). Primary framing is data platform architecture and pipeline engineering, so 15-1243 is the primary classification with 15-1252 as the runner-up.
Read the full posting
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