Data Engineer

Experis-US; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Asset

Supplemental Life Insurance

Short Term and Long Term Disability

Business Travel Insurance

401(k), Plus Match

Weekly Pay

Job summary

Experis Technology Group is seeking a Data Engineer in New York to support an operational and data pipeline stack for a high-performance algorithmic environment. You will help ensure the data stack is robust, scalable, and reliable so production systems perform at their best when it matters most.

Responsibilities include building automated solutions to reduce bottlenecks, providing real-time troubleshooting for production trading systems, and translating complex pricing models into

Qualifications

• Expert-level proficiency in Python, Spark, and SQL.
• Strong CS fundamentals: data structures, algorithms, systems design.
• Experience with CI/CD, Git, and performance profiling.
• Ability to design scalable, production-ready data pipelines.

Responsibilities

• Handle operational aspects of the algorithm stack, ensuring robustness, scalability, and high performance.
• Identify and resolve bottlenecks across the trading lifecycle by building automated solutions.
• Provide real-time, expert-level troubleshooting for production trading systems, 24/7 availability.
• Design, build, and maintain the data stack powering systematic block marketmaking logic.
• Translate quantitative pricing models and business logic into production-grade code for real-time pricing and risk management.

Skills

Python

Spark

SQL

Tools

CI/CD tooling

Git

Performance profiling

Job description

Our client is seeking a Data Engineer to join their team in New York, supporting operational and data pipeline needs for a high-performance algorithmic environment. As a Data Engineer, you will help ensure the data stack is robust, scalable, and reliable—so production systems can perform at their best when it matters most. If you enjoy building dependable pipelines, optimizing systems, and solving real-world engineering challenges, this role is for you. Job Title: Data Engineer Location: New York, New York Pay Range: What's the Job?

Handle operational aspects of the algorithm stack and help ensure the overall platform is robust, scalable, and high-performing. Proactively identify and resolve technical bottlenecks across the trading lifecycle by building automated solutions that improve desk efficiency and system reliability. Provide real-time, expert-level technical troubleshooting for production trading systems, supporting 24/7 high availability and performance in volatile market conditions. Design, build, and maintain the high-performance technology and data stack powering systematic block marketmaking business logic. Translate complex quantitative pricing models and business logic into robust, production-grade code for real-time pricing and risk management.

What's Needed?

• Expert-level proficiency in Python, Spark, and SQL.
• Strong foundation in computer science fundamentals, including data structures, algorithms, and systems design.
• Deep understanding of software engineering lifecycles, including CI/CD, version control (Git), and performance profiling.
• Systems design knowledge and the ability to build scalable, testable solutions for production environments.
• Experience developing and operating data pipelines and supporting end-to-end data pipeline development practices.

What's in it for me?

Work on mission-critical operational engineering and data systems that directly impact production performance. Build automated solutions that improve reliability, efficiency, and operational stability. Contribute to real-time troubleshooting and system optimization in a high-availability environment. Translate quantitative models into production-grade engineering implementations for real-time pricing and risk management. Join a team focused on robust, scalable systems design and strong engineering practices.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay