Data Engineer: AI-Ready Pipelines for Finance

Mondrian Alpha; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Mondrian Alpha seeks a data engineer in New York to design, build, and maintain scalable data pipelines powering investment, research, and risk systems.

You will develop infrastructure for AI/ML workloads, partner with quants and data scientists, and own data quality and reliability across critical pipelines. Strong SQL/Python and cloud experience are required to succeed in this regulated, fast-moving environment.

Qualifications

• 3+ years of data engineering experience.
• Strong SQL and Python skills.
• Experience building pipelines that feed AI/ML models or applications.
• Experience with cloud data platforms (AWS, Azure, GCP, or Snowflake/Databricks).
• Comfort working in a regulated, data-sensitive financial services environment.

Responsibilities

• Design, build, and maintain scalable data pipelines supporting investment, research, and risk functions.
• Build infrastructure to support AI and ML workloads, including feature pipelines and model-ready datasets.
• Partner with quants, researchers, and data scientists to understand data requirements for AI initiatives.
• Own data quality, monitoring, and reliability across critical pipelines.
• Evaluate and integrate new data sources and tooling as the firm's AI use cases expand.

Skills

SQL

Python

Data engineering

Tools

Airflow

Dagster

Snowflake

Databricks

Job description

Mondrian Alpha seeks a data engineer in New York to design, build, and maintain scalable data pipelines powering investment, research, and risk systems.

You will develop infrastructure for AI/ML workloads, partner with quants and data scientists, and own data quality and reliability across critical pipelines. Strong SQL/Python and cloud experience are required to succeed in this regulated, fast-moving environment.