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6 часов назад

Director of Engineering, Investment Data & Analytics (Data Engineering)

220 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
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
Director of Engineering, Investment Data & Analytics (Data Engineering): Building scalable cloud data platforms, pipelines, and models for investment, fund, and private equity portfolio workflows with an accent on data quality, secure infrastructure, and production reliability. Focus on leading architecture decisions, translating ambiguous investment problems into technical solutions, and mentoring engineers across complex data engineering initiatives.

Location: Boston, United States; hybrid work arrangement. The role provides 18 remote workdays per quarter with manager approval, while regular office attendance is expected.

Base salary: $220,000–$230,000 USD annually, plus a discretionary annual bonus and potential long-term rewards and benefits.

Company

hirify.global is a global investment firm focused on private markets, funds, and technology-driven investment processes.

What you will do

  • Own the design and delivery of data pipelines and models across financial and economic datasets.
  • Lead the development of reliable and secure cloud data systems supporting investment, fund, and portfolio workflows.
  • Establish standards for data accuracy, lineage, observability, and service levels.
  • Mentor engineers, lead design and code reviews, and raise engineering standards.
  • Partner with investors and quantitative researchers to turn ambiguous investment problems into production-ready technical solutions.

Requirements

  • 8+ years of data engineering and software delivery experience preferred.
  • Experience designing, building, and operating production cloud data platforms with batch and incremental processing.
  • Strong proficiency in SQL, Python, Snowflake or equivalent cloud warehouses, DBT, Dagster or Airflow, and Azure data tooling.
  • Depth in data modeling, ETL/ELT, data quality, testing, observability, and production support.
  • 3–5 years of technical project leadership experience and a track record of mentoring engineers and delivering data products.
  • Bachelor’s or master’s degree in Computer Science or equivalent preferred.

Culture & Benefits

  • Collaborative, open-door culture with an emphasis on inclusion, mutual respect, and innovative thinking.
  • Comprehensive rewards package that may include retirement, health insurance, paid time off, and wellness programs.
  • Eligibility for a discretionary annual bonus and potential long-term reward programs.

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