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13 дней назад

Pricing & Derived Data - Senior Software Engineer

175 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Pricing & Derived Data - Senior Software Engineer (Data Platform/Elixir): Building a comprehensive data platform for near-real-time and end-of-day pricing across millions of financial instruments with an accent on event streaming, low-latency distribution, and consistent data delivery. Focus on designing ingestion, storage, and distribution architectures, enabling gap-free transitions from snapshots to live updates, and operating time- and correctness-sensitive data products.

Location: Chicago, United States

Annual base salary: $175,000–$250,000, plus an annual discretionary bonus.

Company

hirify.global is a diversified trading firm using technology and its own capital to operate across global financial markets and traditional and non-traditional asset classes.

What you will do

  • Build and extend a data platform providing intra-day and end-of-day prices across the firm.
  • Design systems for pricing millions of instruments across multiple asset classes and exchanges in near-real-time.
  • Support clients ranging from low-latency trading systems to researchers using large historical datasets.
  • Design ingestion, storage, and distribution for high-volume and/or low-latency data processing.
  • Enable consistent prices across warehouses, live streams, and gRPC APIs, including gap-free transitions from snapshots to live updates.
  • Make architectural and technology choices across Elixir and other technologies.

Requirements

  • Senior-level experience as a strong generalist building data products.
  • Significant experience leading projects from design through production operation, including architectural decisions.
  • Ability to explain technology trade-offs and why specific choices were or were not appropriate.
  • Experience or strong understanding of relevant areas such as event streaming, change data capture, open table formats, and stream and batch processing.
  • Understanding of the architectural requirements and suitable use cases for technologies such as Kafka, Delta Lake, Iceberg, ClickHouse, Spark, and Flink.
  • Experience designing high-volume or low-latency data processing systems, including ingestion, storage, and distribution.
  • Experience scaling ingestion pipelines across single or multiple nodes, including workloads handling thousands or tens of thousands of events per second.
  • Experience operating and supporting data products with time- and correctness-sensitive delivery requirements.
  • Ability to independently drive projects to completion, collaborate effectively, learn, adapt, and communicate clearly.

Nice to have

  • Prior experience with Elixir.
  • Prior experience in the financial domain.

Culture & Benefits

  • Autonomous environment with high-level requirements and freedom to pursue business solutions.
  • Culture emphasizing humility, respect, curiosity, integrity, innovation, and challenging consensus.
  • Development practices include rapid deployment, feedback, automated testing, and cohesive, transparent, lightly coupled service architectures.
  • Employee benefits include medical, pharmacy, dental and vision insurance, 401k with discretionary employer match, disability and life insurance, HSA, and FSA.

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