6 дней назад
Data Engineer - Vice President (FinTech)
160 000 - 200 000$
Мэтч & Сопровод
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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
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.
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