Data Engineer - Infrastructure
$175,000–$225,000 year
On-siteChicago, Illinois, United States
Job Summary
Design, deploy, and operate large-scale data storage infrastructure including Hadoop, enterprise storage, and S3-compatible platforms. Tune Linux systems for I/O throughput and overall performance, then automate configuration and deployment using Ansible or Puppet. Build observability into the platform with Prometheus and related tooling while partnering with engineering teams to deliver reliable, well-architected data solutions focused on Storage and Kafka. This hands-on role requires 5+ years of systems engineering experience with a strong focus on data storage and Linux fundamentals.
Required Qualifications
- 5+ years of experience in systems engineering with a strong focus on data storage
- Strong Linux fundamentals, debugging skills, including performance tuning for I/O throughput
- Hands-on experience with Ansible and Puppet for configuration management and automation
- Familiarity with open-source, S3 API compliant, and enterprise storage technologies
- Working knowledge of the Hadoop ecosystem, including YARN
- Experience in Java and Python
- Experience with Prometheus-based monitoring and alerting
Desired Qualifications
- Familiarity with Kubernetes
- Comfort working with AI-assisted development tools such as Claude in an enterprise setting
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