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Data Engineer

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  • Job
    Full-time
    Junior & Mid Level
  • Data
  • $120K - $160K
  • New York

Requirements

  • Minimum 2 years of professional experience in data engineering
  • BS or MS in Computer Science, Engineering, or other related discipline
  • Experience in python and Linux
  • Experience working with commercial database engines, including MS SQL. Server and cloud-based databases such as Redshift, Apache Casandra, Snowflake, or MongoDB
  • Experience with AWS ecosystem, familiar with S3 and Lambda function is preferred
  • Strong written and verbal communication skills with excellent attention to detail

Responsibilities

  • Responsible for all market data in the firm
  • Design and implement data-ingestion and data-processing pipelines and tools for a diverse range of datasets using Python, Linux and AWS Cloud platform.
  • Enhance and build out API and libraries to access firm’s centralized data platform (Datalake)
  • Hands on building out next generation real-time market data platform
  • Lead ad hoc projects related to data (e.g., assessment of a dataset, quarterly review of the data library, creation of a website)
  • Become the subject matter expert of different market and alternative datasets used for alpha research and trading across different strategies and asset classes.

FAQs

What are the main responsibilities of a Data Engineer at Capstone?

The main responsibilities of a Data Engineer at Capstone include supporting, designing, and building out the next generation of data platforms. This individual will be involved in creating efficient data pipelines and tools, as well as spearheading data-related initiatives.

Who does a Data Engineer at Capstone report to?

A Data Engineer at Capstone reports directly to the Head of Data Engineering.

What type of opportunities for innovation and design can a Data Engineer expect at Capstone?

A Data Engineer at Capstone can expect several greenfield opportunities to introduce innovation and design to the data systems. This role offers the chance to lead numerous data-related initiatives and drive new approaches to data engineering.

What qualities are essential for a successful Data Engineer at Capstone?

Essential qualities for a successful Data Engineer at Capstone include motivation, a strong work ethic, the ability to thrive in challenging situations, and a passion for creating efficient data pipelines and tools. This role requires someone who is proactive, innovative, and interested in driving data-related initiatives.

We see the world differently. Capstone is a global, alternative investment management firm.

Finance
Industry
51-200
Employees
2007
Founded Year

Mission & Purpose

Capstone is a global, alternative investment management firm operating across a broad range of derivatives-based strategies with a deep understanding of volatility. With approximately $9.4 billion of AUM and 262 employees (as of March 1, 2023), Capstone was formed in 2007 and is headquartered in New York with offices in London, Amsterdam, Hong Kong, Los Angeles, Stamford, and Boston. Through strategic insight, market-leading expertise and advanced technology, we seek to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team and industry.