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Senior Software Engineer, Data Engineering (Fintech)

196 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior Software Engineer, Data Engineering (Python/Spark/Airflow): Building foundational datasets and scalable data pipelines for product analytics, financial reporting, experimentation, and machine learning with an accent on data quality, reliability, and intuitive data models. Focus on ingesting application events and database snapshots into a data lake, evolving large-scale datasets, and establishing data engineering standards across a fintech platform.

Location: Menlo Park, California office with in-person attendance expected at least 3 days per week. Compensation zones also include New York, Bellevue, Washington, Denver, Westlake, Chicago, Lake Mary, Clearwater, and Gainesville in the United States.

Salary: $196,000–$230,000 USD annually for Zone 1; $172,000–$202,000 USD annually for Zone 2; $153,000–$179,000 USD annually for Zone 3. Additional bonus, equity, and benefits are available.

Company

Robinhood builds financial products with a mission to democratize finance for all.

What you will do

  • Define and build key datasets across Robinhood product areas, evolving them as use cases grow.
  • Build scalable Python, Spark, and Airflow pipelines that ingest application events and database snapshots into the data lake.
  • Partner with upstream engineering teams to improve data generation patterns.
  • Collaborate with data consumers to understand usage patterns and design intuitive, well-documented data models.
  • Contribute to shared data engineering tooling, standards, and best practices.

Requirements

  • 5+ years of professional experience building end-to-end data pipelines.
  • Production-level Python software engineering experience beyond data scripting or automation.
  • Expertise building and maintaining large-scale pipelines with open-source frameworks such as Spark or Flink.
  • Strong SQL skills, including Presto or Spark SQL.
  • Experience solving problems across data infrastructure, analytics, and visualization platforms.
  • Strong collaboration skills and the ability to turn data into actionable solutions.

Culture & Benefits

  • High-impact work focused on financial products and data-informed decision-making.
  • Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching.
  • Health, life, disability, fertility, and mental health benefits.
  • Paid holidays, paid time off, sick time, and parental leave.
  • Flexible lifestyle wallet for wellness, learning, and other expenses.
  • Office amenities including catered meals, events, and comfortable workspaces.

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