Staff Engineer, Data Platform - Scale, Governance & Services

LinuxCareers

Chicago (IL)

Vor Ort

USD 200.000 - 275.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health insurance
Dental insurance
Vision insurance
401(k) with employer match
Disability insurance
Life insurance
HSA
FSA

Zusammenfassung

DRW, a diversified trading firm, is seeking a Staff Engineer for the Data Platform in Chicago. You will lead the design and evolution of DRW's data platform infrastructure, translating data strategy into managed services used by traders, quantitative researchers, and back-office teams.

This is an individual contributor role combining strategic thinking, architectural leadership, software development, and cross-team mentorship.

Qualifikationen

  • Experience leading data platform initiatives across multiple teams.
  • Proficiency in Java or Python with SQL & Linux.
  • Experience with data governance and metadata management.
  • Experience with distributed systems and data processing frameworks.

Aufgaben

  • Guide architecture and evolution of the data platform to advance DRW's data strategy.
  • Translate data strategy into engineering products and platform capabilities.
  • Design and own lifecycle of managed data platform services (storage, queries, batch/stream processing).
  • Lead cross-team delivery and turn requirements into practical designs with measurable outcomes.
  • Drive architecture reviews and technology decisions across the data ecosystem.
  • Mentor engineers through design and code reviews.

Kenntnisse

Data platform architecture
Cross-team leadership
Strategic thinking
Software development
Communication

Tools

Java
Python
SQL
Linux
Kafka

Jobbeschreibung

DRW, a diversified trading firm, is seeking a Staff Engineer for the Data Platform in Chicago. You will lead the design and evolution of DRW's data platform infrastructure, translating data strategy into managed services used by traders, quantitative researchers, and back-office teams.

This is an individual contributor role combining strategic thinking, architectural leadership, software development, and cross-team mentorship.

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