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9 часов назад

Senior Data Engineer, Unified Platform (Fintech)

200 000 - 250 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Europe/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer, Unified Platform (Fintech): Building and governing data products, vendor ingestion pipelines, and centralized data infrastructure for trading, research, and back-office use with an accent on data modeling, governance, reliability, and quality control. Focus on designing batch and streaming pipelines, executing cross-platform migrations, managing operational data workflows, and solving complex data quality and delivery challenges.

Location: Chicago or New York City, United States

Salary: $200,000–$250,000 annual base salary, plus an annual discretionary bonus.

Company

hirify.global is a diversified trading firm using technology and proprietary capital to operate across global financial markets and non-traditional strategies.

What you will do

  • Model, build, and manage data products on the Unified Data Platform.
  • Onboard and manage vendor datasets for trading, quantitative research, and back-office functions.
  • Design data governance processes covering dataset discovery, cost-sharing, usage tracking, access controls, and quality control.
  • Monitor ingestion pipelines and data quality, and develop software and processes for reliability and quality control.
  • Own vendor ingestion pipelines, coordinate changes with vendor relationship managers, perform data operations, and participate in the on-call rotation.
  • Respond to user requests and identify platform gaps and self-service opportunities.

Requirements

  • 7+ years of experience with modern data technologies and data-first products.
  • Extensive experience designing and building batch and streaming data pipelines.
  • Expertise in SQL and Java or Python, including maintainable production data transformations.
  • Strong knowledge of data modeling, data storage technologies, data formats, and serialization systems.
  • Experience with data processing technologies such as Flink, Spark, Polars, or Dask, and orchestration systems such as Kubernetes, Argo Workflows, Airflow, Prefect, or Dagster.
  • Experience operating large data pipelines, managing migrations, monitoring throughput, handling dead-letter queues, and correcting data quality issues.

Culture & Benefits

  • Autonomous, fast-paced environment with high expectations for integrity, innovation, and collaborative problem-solving.
  • Work alongside traders, quantitative researchers, data strategists, analysts, and back-office personnel.
  • Medical, pharmacy, dental, and vision insurance.
  • 401k with a discretionary employer match, disability and life insurance, HSA, and FSA.
  • Participation in an on-call rotation supporting data platform reliability.

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