Senior Data Engineer

Harrington Starr; Chicago (IL); Hybrid; USD 180,000 - 250,000; Full time

Job summary

A leading trading firm is seeking a Senior Data Engineer for their Chicago office. This role involves architecting and scaling a data platform crucial for analytics and trading, requiring collaboration with various teams. Candidates should have over 5 years of software development experience and be proficient in AWS, Spark, Kafka, and Kubernetes. This hybrid role requires 2-3 days weekly in-office attendance.

Qualifications

• 5+ years of software development experience.
• Hands-on with AWS, Spark, Kafka, Kubernetes.
• Skilled in building scalable batch/streaming systems.

Responsibilities

• Architect and scale the data platform for analytics and trading.
• Collaborate with Traders, Quants, and Engineers for data pipelines.
• Implement SLAs and validation for data quality and availability.

Skills

AWS

Spark

Kafka

Kubernetes

Data platforms

Education

BS/MS/PhD in Computer Science, Engineering, Physics, Math

Tools

Kubernetes (EKS)

Kafka (MSK)

Databricks/Spark

Delta Lake

Job description

This range is provided by Harrington Starr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $250,000.00/yr

Direct message the job poster from Harrington Starr

We are partnered with a top US trading firm who are looking for a Senior Data Engineer to join their team in Chicago. They are a cutting-edge trading firm focused on market-making using proprietary low-latency technology and data-driven strategies.

The Data Engineering team plays a foundational role in building and maintaining systems that power the firm’s data infrastructure across the company, including trading and research.

This will be a hybrid role requiring 2-3 days a week office attendance in downtown Chicago.

What will you be doing?]

Architect and scale the data platform to support real-time and batch processing for analytics and trading.

• Collaborate cross-functionally with Traders, Quants, and Engineers to build impactful, high-performance data pipelines.
• Use technologies like Kubernetes (EKS), Kafka (MSK), Databricks/Spark, and Delta Lake in a hybrid-cloud environment.
• Implement SLAs and validation for data quality, availability, and accuracy.
• Write clean, tested, and documented code with a strong emphasis on mentoring and leadership.

What are we looking for?

• 5+ years of software development experience
• Hands-on with AWS, Spark, Kafka, Kubernetes, and modern data platforms (e.g., Delta Lake, Trino)
• Skilled in building scalable batch/streaming systems
• Financial data experience helpful but not required
• BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Investment Management, Investment Banking, and Capital Markets

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