Data Engineer - Infrastructure
At a glance
Mid-level Data Engineering role at IMC. Chicago · $175,000–$225,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Design, deploy and run large-scale storage platforms, including Hadoop, enterprise storage and S3-compatible systems
- Tune Linux for storage I/O speed and overall system performance
- Automate infrastructure setup and rollout with Ansible, Puppet or another automation platform
- Add Prometheus-based monitoring and observability to the platform
- Work with engineering teams on dependable data solutions centered on storage and Kafka
What you bring
- At least five years in systems engineering, with a strong emphasis on data storage
- Strong Linux skills, including debugging and improving I/O performance
- Practical experience using Ansible and Puppet to automate configuration
- Working knowledge of Hadoop, including YARN, plus experience with Java and Python
Who this fits
This hands-on role suits a mid-career systems engineer who likes working close to hardware and infrastructure. The work is based in Chicago.
From the employer
We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help build and scale the storage and data platforms that power our HFT business. This is a hands-on role for someone who enjoys working close to the bare metal systems. Operating large-scale open-source storage, enterprise storage, tuning Linux systems for performance, automating infrastructure. As our data footprint grows, you will play a key part in keeping our infrastructure fast, reliable, and ready to scale.
Your Core Responsibilities:
- 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
- Automate configuration and deployment using Ansible, Puppet or other automation platform
- Build observability into the platform with Prometheus and related tooling
- Partner with engineering teams to deliver reliable, well-architected data solutions with a focus on Storage and Kafka
- Familiarity with Kubernetes
Your Skills & Experience:
- 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
- Comfort working with AI-assisted development tools such as Claude in an enterprise setting
- Experience with Prometheus-based monitoring and alerting
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range$175,000—$225,000 USDAbout Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering$170k+
Find me workBy the team behind dataroles.