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8 часов назад

Senior Engineer, Invest Tech (Python)

115 000 - 140 000$
Формат работы
hybrid
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

Текст:
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TL;DR
Senior Engineer, Invest Tech (Python): Building and maintaining data pipelines, analytical data models, and internal applications for separately managed accounts, with an accent on reliable ingestion, financial data modeling, and production Python and SQL. Focus on supporting quantitative research, trading workflows, data quality monitoring, and operational reliability across large financial and time series datasets.

Location: New York, New York; hybrid workplace model with at least four full days per week in an hirify.global office

Salary: $115,000–$140,000 per year

Company

hirify.global is a global independent investment firm providing investment strategies and vehicles to clients worldwide.

What you will do

  • Build and maintain data pipelines that ingest internal systems, market data, and operational databases.
  • Design and manage PostgreSQL and analytical data models for front-office workflows and quantitative research.
  • Develop production Python and SQL for ETL, validation, enrichment, and data quality monitoring.
  • Build lightweight internal applications, reporting interfaces, browser-based tools, and data-grid interfaces.
  • Support research and analytics workflows using large financial and time series datasets.
  • Partner with quantitative developers and investment users to improve data usability, transparency, and reliability.

Requirements

  • 4+ years of experience in data engineering, analytics engineering, or software engineering with a strong data focus.
  • Strong Python experience and production ETL pipeline development.
  • Experience with relational databases and production data modeling.
  • Experience with testing, code quality, debugging, and documentation.
  • Experience with financial, transactional, or time series data is strongly preferred.

Nice to have

  • PostgreSQL or Snowflake experience.
  • Familiarity with dbt, AWS, Docker, Kubernetes/EKS, Kafka, Redis, and cloud data infrastructure.
  • JavaScript experience for internal tools, dashboards, or data-grid-based interfaces.

Culture & Benefits

  • Hybrid work schedule with regular office collaboration.
  • Flexible paid time off.
  • 401(k) matching of 100% up to the first 6%, plus a discretionary supplemental contribution.
  • Health and wellbeing benefits.
  • Parental leave benefits and an employee stock purchase plan.

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