Software Engineer, Digital Assets Trading & Data Pipelines

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

Job summary

Millennium is a global investment firm seeking a Software Engineer for Digital Assets Trading in New York. You will partner with leadership to evaluate data providers, implement a strategic data roadmap, and ingest diverse data sources into trading platforms.

You will build scalable data pipelines, apply AI/ML across the SDLC, and ensure data quality and resiliency for analytics, trading, and risk tooling. A strong CS background and ownership mindset are essential.

Qualifications

• 3+ years of hands-on Python experience for analytics and data processes.
• Experience with scalable data pipelines using Snowflake and Airflow.
• 2+ years deploying and managing AWS environments for data pipelines.
• Bachelor’s degree in Computer Science or a related field.
• Experience with large structured and unstructured datasets and data vendor connectivity.
• Understanding of financial instruments and digital assets.
• Experience with AI/ML across SDLC to improve data quality.
• Self-driven engineer comfortable under pressure and making design decisions.

Responsibilities

• 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 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

Airflow

Analytical thinking

Problem solving

Education

Bachelor's degree in CS

Tools

Snowflake

Airflow

AWS

Job description

Millennium is a global investment firm seeking a Software Engineer for Digital Assets Trading in New York. You will partner with leadership to evaluate data providers, implement a strategic data roadmap, and ingest diverse data sources into trading platforms.

You will build scalable data pipelines, apply AI/ML across the SDLC, and ensure data quality and resiliency for analytics, trading, and risk tooling. A strong CS background and ownership mindset are essential.