Назад
Company hidden
6 дней назад

Data Engineer - Vice President (FinTech)

160 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Engineer - Vice President (FinTech): Building scalable data platform infrastructure, pipelines, data lakes, and warehouses for a financial technology business with an accent on high-performance ingestion, cleansing, data quality, and data modeling. Focus on designing reusable frameworks, optimizing OLAP and OLTP storage, and translating complex financial data into actionable business decisions.

Location: New York, New York, United States; office attendance Monday–Thursday with remote work available on Friday

Salary: $160,000–$200,000 per year, plus equity for full-time employees and an annual performance bonus

Company

hirify.global is a financial technology company building data-driven infrastructure and solutions for investment and financial markets.

What you will do

  • Build scalable, high-performance data platform infrastructure using open-source technologies and cloud solutions.
  • Develop reusable components and frameworks for data ingestion, cleansing, and quality management.
  • Streamline raw data ingestion from multiple sources into data lakes and data warehouses.
  • Design data models that support efficient storage and retrieval of product entities and business data.
  • Partner with sales and product development teams to advance the FinTech strategy and improve business profitability.

Requirements

  • Bachelor’s degree in computer science, data science, mathematics, statistics, or a related quantitative field.
  • 8+ years of experience with open-source technologies or object-oriented and functional programming, including the ability to write scalable, high-quality code.
  • Experience with at least one numerical research framework, such as Python/pandas, R/Splus, Octave, or Matlab.
  • Knowledge of OLAP and OLTP databases, including Redshift, Snowflake, PostgreSQL, or MongoDB, as well as relational, columnar, and NoSQL database designs.
  • Background in probability and statistics, strong communication skills, attention to detail, and the ability to work independently and collaboratively.
  • Ability to work in the New York office Monday–Thursday and remotely on Friday.

Nice to have

  • Professional experience with Python and JVM-based languages such as Scala, Java, or Kotlin.
  • Experience building data pipelines, data lakes, and data warehouses.
  • Experience with AWS services such as Lambda, S3, Kinesis, and ElastiCache, plus infrastructure as code using Terraform or CloudFormation.
  • Knowledge of financial markets, financial instruments, and PII data restrictions.
  • Master’s degree in computer science, data science, or a related field.

Culture & Benefits

  • Collaborative office-based work model designed to support idea generation and innovation.
  • Comprehensive benefits package with an employer-matched retirement plan.
  • Subsidized healthcare, including employer-paid dental, vision, telemedicine, and virtual mental health counseling.
  • Parental leave and unlimited paid time off.
  • Equity for full-time employees and an annual performance bonus.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →