Data Engineer

Capstone is seeking a highly motivated data engineer to join our growing team in NYC office. Reporting directly to the Head of Data Engineering, this engineer will be involved in the support, design, and build out of our next generation of data platform.

We’re looking for someone who thrives on the challenge of creating efficient data pipelines and tools. There will be several greenfield opportunities to introduce innovation and design to our data systems, and the individual will be expected to spearhead numerous data-related initiatives.

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

Desirable Candidates

• 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 Cassandra, 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