Senior Data Platform Engineer - Trading & Real-Time Systems

P2P; Chicago (IL); On-site; USD 175,000 - 225,000; Full time

Benefits offered by this job

Group medical insurance

Dental and vision insurance

401k with discretionary employer match

Short and long-term disability insurance

Health savings accounts

Flexible spending accounts

Job summary

P2P is looking for a Data Engineer in Chicago to support trading activities through innovative data solutions. The role encompasses full ownership of data products, requiring strong programming skills in Python, Java, or C++. Candidates need experience in financial markets and the ability to work with high-throughput systems. An annual salary range of $175,000 to $225,000 is offered along with competitive benefits including health insurance and a 401k plan.

Qualifications

• 2+ years experience with at least one of Python, Java, C++.
• Experience delivering production systems in fast-moving environments.
• Ability to tackle complex problems and minimize risk.

Responsibilities

• Collaborate with teams to deliver data solutions for trading.
• Take ownership of data products from concept to production.
• Design and maintain systems for batch and real-time data.

Skills

Python

Java

C++

Linux-based systems

Data streaming platforms (Kafka)

Data lake platforms (Delta Lake, Apache Iceberg)

Pipeline orchestration frameworks (Airflow, Dagster)

Interpersonal skills

Education

Bachelor’s or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering

Job description

P2P is looking for a Data Engineer in Chicago to support trading activities through innovative data solutions. The role encompasses full ownership of data products, requiring strong programming skills in Python, Java, or C++. Candidates need experience in financial markets and the ability to work with high-throughput systems. An annual salary range of $175,000 to $225,000 is offered along with competitive benefits including health insurance and a 401k plan.