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About the Role
Millennium is seeking a Data Engineer to develop data-intensive and multi-asset analytics for their Fixed Income, Risk, and Commodities businesses. This role involves collaborating with various teams, providing database expertise, defining standards, and working with cloud data platforms and AI-powered tools.
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
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 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 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
- Demonstrated ownership, attention to detail, thoroughness, and a collaborative, quick-learning mindset
Skills
- SQL
- Relational database technologies
- Microsoft SQL Server
- PostgreSQL
- MongoDB
- NoSQL databases
- Cloud data platforms
- AWS
- GCP
- Cloud data lakes
- Amazon S3
- Parquet
- Iceberg
- Hive
- Starburst/Trino
- Snowflake
- ClickHouse
- Spark
- Databricks
- Datadog
- Grafana
- Data modeling
- Data quality
- Schema evolution
- Metadata management
- Data governance
- AI/ML concepts
- AI services
- LLMs
- Unix/Linux environments
- Python
- Java
Location
- New York
Work Type
- Full-time
Experience Level
- 2+ years of experience
Education Level
- Bachelor's or Master's degree in Computer Science or another scientific field
Salary/Compensations
- $175,000 to $250,000
Benefits
- Discretionary performance bonus
- Comprehensive benefits
About the Company
- Millennium is a global, diversified alternative investment firm, founded in 1989.
- Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.
- Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning.
- With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time.
- Discover how transformative growth accelerates impact.
- 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.