Digital Assets Trading Platform Engineer

Millennium; New York (NY); On-site; USD 175,000 - 250,000; Full time

Job summary

Millennium in New York seeks a data engineer to design and operate analytics data pipelines for digital assets. You will join the Digital Assets technology group and work with the COO and engineering leads to deliver scalable data solutions.

The role emphasizes real-time and historical data integration, data quality, and building order, trading, reconciliation and risk platforms, with AI/ML enhancements across the SDLC.

Qualifications

• 3+ years of hands-on Python experience writing reusable, efficient code for analytics and data processes.
• 2+ years of experience deploying and managing AWS environments for data pipelines and intelligence services.
• Bachelor’s degree in Computer Science or a related field.
• Experience processing large structured and unstructured datasets with strong quality and resiliency controls, and managing connectivity to data vendors in this space for 24/7 systems.
• Broad understanding of financial instruments required, with equities, fixed income, or commodities exposure a plus, and a passion for digital assets/cryptocurrency backed by a strong understanding of primary markets and key sources of blockchain data.
• Demonstrated passion for AI/ML with hands-on integration across the SDLC (feature engineering, model development/deployment, evaluation/monitoring) to enhance data quality, analytics, and automation.
• Positive, self-driven, hands-on engineer who is effective under pressure and makes sound design and architecture decisions.

Responsibilities

• Partner with the COO of Digital Assets, the Head of Technology, and Digital Assets Engineering Leads to evaluate data providers and implement the strategic roadmap for digital asset data.
• Analyze real-time and historical digital asset data sources and integrate them into firm platforms.
• Build solutions that transform unstructured data into a form suitable for analysis and platform ingestion, with a strong emphasis on data quality and resiliency.
• Ongoing design and development of order management, trading, reconciliation and risk platform.
• Support business decisions with ad hoc analysis as needed.

Skills

Python

Data pipelines

Analytics

Education

Bachelor's degree in Computer Science

Tools

Snowflake

Airflow

AWS

Job description

Millennium in New York seeks a data engineer to design and operate analytics data pipelines for digital assets. You will join the Digital Assets technology group and work with the COO and engineering leads to deliver scalable data solutions.

The role emphasizes real-time and historical data integration, data quality, and building order, trading, reconciliation and risk platforms, with AI/ML enhancements across the SDLC.