Data Infrastructure Engineer – Storage & Platforms

Fintal Partners; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

Fintal Partners in Chicago seeks an Engineer to join our Data Engineering Infrastructure group, building and scaling storage and data platforms for a high-frequency trading operation. This is a hands-on role near the hardware, tuning Linux for performance and automating infrastructure.

You will deploy large-scale storage across Hadoop and S3 systems, add observability with Prometheus, and collaborate with engineers on data solutions, Kafka, and related tooling.

Qualifications

• 5+ years in systems engineering with a focus on data storage.
• Strong Linux fundamentals and I/O performance tuning.
• Practical experience using Ansible and Puppet for automation.
• Knowledge of open-source, S3 API-compatible and enterprise storage technologies.
• Working understanding of the Hadoop ecosystem, including YARN.
• Java and Python experience.
• Comfortable using AI-assisted development tools (e.g. Claude) in an enterprise environment.
• Experience with Prometheus monitoring and alerting.

Responsibilities

• Build, deploy and run large-scale storage infrastructure across Hadoop, enterprise storage and S3-compatible systems.
• Optimize Linux systems for I/O throughput and general performance.
• Automate deployment and configuration with Ansible, Puppet or similar tools.
• Add observability to the platform using Prometheus and associated tooling.
• Work with engineering teams to deliver robust data solutions, especially around storage and Kafka.
• Some exposure to Kubernetes.

Skills

5+ years in systems engineering

Linux performance tuning

Debugging ability

Observability mindset

Tools

Ansible

Puppet

Hadoop

YARN

Prometheus

Kubernetes

Kafka

S3-compatible storage

Job description

We’re looking for an Engineer to join our Data Engineering Infrastructure group, building and scaling the storage and data platforms behind a high-frequency trading operation. This is a hands‑on role for someone who likes working near the hardware: running large open‑source and enterprise storage systems, tuning Linux for performance, and automating infrastructure. As data volumes keep growing, you’ll be central to keeping the platform fast, resilient and scalable.

What You’ll Do:

• Build, deploy and run large-scale storage infrastructure across Hadoop, enterprise storage and S3-compatible systems
• Optimize Linux systems for I/O throughput and general performance
• Automate deployment and configuration with Ansible, Puppet or similar tools
• Add observability to the platform using Prometheus and associated tooling
• Work with engineering teams to deliver robust data solutions, especially around storage and Kafka
• Some exposure to Kubernetes

What You’ll Bring:

• 5+ years in systems engineering, with a strong emphasis on data storage
• Solid Linux fundamentals and debugging ability, including I/O performance tuning
• Practical experience using Ansible and Puppet for automation and config management
• Knowledge of open-source, S3 API-compatible and enterprise storage technologies
• Working understanding of the Hadoop ecosystem, including YARN
• Java and Python experience
• Comfortable using AI-assisted development tools (e.g. Claude) in an enterprise environment
• Experience with Prometheus monitoring and alerting