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 to join our Data Engineering Infrastructure group to build and scale storage and data platforms behind a high-frequency trading operation. The role is hands-on, tuning Linux, running large storage systems, and automating infrastructure.

You will deploy and run storage across Hadoop, enterprise storage and S3-compatible systems, optimize I/O performance, automate with Ansible/Puppet, and add Observability with Prometheus.

Qualifications

• 5+ years in systems engineering focused on data storage.
• Strong Linux fundamentals and I/O performance tuning.
• Experience with automation/config management (Ansible or Puppet).
• Experience with Hadoop ecosystem (YARN) and S3-compatible storage.

Responsibilities

• Build and operate large-scale storage infrastructure across Hadoop, enterprise storage, and S3-compatible systems.
• Tune Linux I/O performance for throughput and latency.
• 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.
• Some exposure to Kubernetes.

Skills

Systems engineering

Linux performance tuning

Open-source storage technologies

Hadoop/YARN

Java

Python

Prometheus monitoring

Tools

Ansible

Puppet

Prometheus

Kubernetes

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