Remote Sr. Network Data Engineer
Global Channel Managementinc · New York, NY
$166,400–$168,480
Jul 25, 2026
New York, NY
Jul 26, 2026
What this job asks for AI summary
This hybrid role centers on building data mining models, statistical analyses, and machine learning methods to detect network anomalies and support network optimization. The engineer works across business units — including senior leadership — to translate complex analytical findings into actionable strategy. It suits someone with a strong background in financial services data management, advanced SQL and ETL tooling, and statistical or ML modeling experience.
Senior level · 5+ years · Charlotte-Concord-Gastonia, NC-SC
“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.
Why we read it this way (8)
The posting lists multiple work locations (Charlotte NC, Broomfield CO, Chicago IL, Denver CO, Iselin NJ, Lewisville TX, New York NY) and describes a hybrid 2–3 days in-office arrangement; Charlotte is used as the primary CBSA but the role spans several metros.
Despite the title 'Network Data Engineer', the actual duties and requirements are squarely data science / advanced analytics (ML, Deep Learning, statistical modeling, data mining) with no network engineering content — the 'network' appears to refer to a business network (e.g. financial services distribution network), not IT networking.
The '3+ years with SAS, SQL, Python, SPSS, or R' requirement lists these as interchangeable options; SQL and Python are also called out separately with 'Advanced' qualifiers, so SQL is emitted as the primary must-have with the others as alternatives, while Python and R are also emitted individually given their separate explicit mentions.
ETL tools (Kettle, MS SSIS, Alteryx, KNIME) are listed under requirements with 'e.g.' framing, indicating the specific tools are illustrative; Kettle is used as the primary with the others as alternatives.
Snowflake is listed as a standalone experience requirement without 'required' or 'preferred' language — treated as preferred given the softer 'Experience with' phrasing that is not anchored to a minimum-years gate.
Reinforcement Learning (MDP, Policy Optimization, Dynamic Programming) is explicitly called 'a plus' and is marked preferred accordingly.
JavaScript appears under a programming languages list framed with 'e.g.' and is not gated with a minimum-years requirement; marked preferred.
No compensation range is stated in the posting.
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