Data Engineer

Millennium•Miami, FL

13d•$175,000 - $250,000•Remote

About The Position

Core to the health and growth of our business, the firm's active, multi-manager business model demands flexible, scalable technology and advanced proprietary systems, including the development of the next generation of analytical and trading capabilities. Our technology teams operate in a dynamic, fast-paced environment focused on leveraging innovations in technology and data science to solve complex problems for the business, with excellent opportunities for growth.

Requirements

Bachelor's or Master's degree in Computer Science or another scientific field.
2+ years of experience in data/database engineering, database administration, or a related role, with a track record of designing, building, and maintaining reliable, scalable data pipelines and platforms
Strong experience with SQL and relational database technologies, including Microsoft SQL Server and PostgreSQL; experience with MongoDB or other NoSQL databases is a plus
Experience with cloud data platforms and services in AWS and/or GCP, including cloud data lakes and open table/file formats such as Amazon S3, Parquet, Iceberg, and Hive; experience with Starburst/Trino is a plus
Experience with modern data warehouse, analytics, and distributed processing technologies such as Snowflake, ClickHouse, Spark, or Databricks, along with monitoring and observability platforms such as Datadog or Grafana
Familiarity with data modeling, data quality, schema evolution, metadata management, and data governance practices
Familiarity with AI/ML concepts and experience integrating AI services and LLMs into data workflows, automation, or analytics products
Proficiency working in Unix/Linux environments with scripting or programming languages such as Python or Java, paired with demonstrated ownership, attention to detail, thoroughness, and a collaborative, quick-learning mindset

Nice To Haves

experience with MongoDB or other NoSQL databases is a plus
experience with Starburst/Trino is a plus

Responsibilities

Work closely with quants, portfolio managers, risk managers and other engineers to develop data intensive and multi-asset analytics for our Fixed Income, Risk, and Commodities businesses
Gather requirements and user feedback in collaboration with fellow engineers and project leads
Provide expertise, guidance, and support on a variety of database platforms to end users and developers, including data model reviews and query and system performance tuning
Define and enforce database standards and best practices for database development and security
Review and upgrade database maintenance processes and monitoring and alerting capabilities in accordance with best practices
Work closely with DevOps engineers to build AI powered tools and automation for data pipelines, database maintenance tasks, and system monitoring
Stay abreast of industry trends, new database platforms and data engineering tools