Senior Data Engineer: Cloud, ML & Market Analytics

ICE; New York (NY); On-site; USD 145,000 - 185,000; Full time

Job summary

Intercontinental Exchange (ICE) seeks a senior developer for NYSE data analytics workflows. You will ingest and analyze large volumes of trading data, collaborating with business and technology teams across ICE, and apply data science and machine learning to market microstructure.

You’ll own delivery from design through production. You will work on a modern cloud data stack, apply ML/AI to market analytics, and contribute to fair and orderly markets.

Qualifications

• Bachelor’s degree in computer science, data science, finance or mathematics or equivalent experience.
• 5+ years of professional software development experience.
• Strong programming skills in Python, including pandas, NumPy and PySpark.
• Strong SQL skills, including query tuning and query plan management.
• Experience working in cloud environments such as AWS.
• Experience with cloud data platforms and warehouses (Snowflake, Databricks, BigQuery, Redshift).
• Experience applying statistical analysis and modeling to financial market data.
• Experience writing complex programs and implementing custom algorithms, including adapting open-source frameworks.
• Proficiency with Git and Agile teams of 5 to 8 engineers.
• Excellent written and verbal communication skills.

Responsibilities

• Data engineering and analytics solutions: Design, write and optimize SQL to develop data science and analytics solutions with business teams.
• Analysis and reporting: Create reports and presentations for business stakeholders and search large data sets for patterns.
• Delivery and collaboration: Break deliverables into tasks, provide estimates, develop and unit test code, collaborate with QA and operations.
• Innovation: Prototype ML/AI/NLP/LLM solutions for quantitative analysis and market monitoring, and continuously improve system performance.

Skills

Python

SQL

Git

Communication skills

Education

Bachelor's degree in computer science, data science, finance or mathematics

Tools

AWS

Snowflake

Databricks

BigQuery

Redshift

Pandas

NumPy

PySpark

Spark SQL

Job description

Intercontinental Exchange (ICE) seeks a senior developer for NYSE data analytics workflows. You will ingest and analyze large volumes of trading data, collaborating with business and technology teams across ICE, and apply data science and machine learning to market microstructure.

You’ll own delivery from design through production. You will work on a modern cloud data stack, apply ML/AI to market analytics, and contribute to fair and orderly markets.