Data Infrastructure Engineer – Storage & Platforms

Fintal Partners; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Fintal Partners is seeking an Engineer for its Data Engineering Infrastructure group. The role focuses on building and scaling storage and data platforms behind a high‑frequency trading operation.

You’ll work near the hardware, tuning Linux for performance and automating infrastructure while handling growing data volumes. You’ll deploy large-scale storage across Hadoop, enterprise storage and S3-compatible systems, improve I/O throughput, and contribute to observability using Prometheus.

Qualifications

• 5+ years in systems engineering with a strong data storage focus.
• Solid Linux fundamentals and debugging, including I/O performance tuning.
• Hands-on experience with automation/config management (Ansible, Puppet).

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 overall performance.
• Automate deployment and configuration with Ansible, Puppet or similar tools.
• Add observability to the platform using Prometheus and related tooling.
• Collaborate with engineering teams to deliver robust data solutions, especially around storage and Kafka.

Skills

Systems engineering

Linux fundamentals

Debugging

Java

Python

AI-assisted tools

Tools

Ansible

Puppet

Prometheus

Kafka

Hadoop/YARN

Java

Python

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