Data Platform Engineer

16 hours ago

Chicago, IL, United States JSR Tech Consulting Full time

Quantitative Technologist - Data Platform Engineer
About the Role
We're looking for an experienced Data Platform Engineer to join our
DevOps/Automation team and help reshape the way we design, operate, and scale our
infrastructure. This role is ideal for someone who has a deep technical background in
Kubernetes, Terraform, and modern data pipeline orchestration, and who is eager to
take ownership of building a reliable, standardized platform to support mission-critical
processes.
You'll work closely with engineers across research, high-performance computing (HPC),
and trading operations to streamline our data pipelines, improve observability and
alerting, and introduce best-in-class tooling to replace fragmented, homegrown
solutions. Over time, you'll have the opportunity to potentially lead and grow the team,
playing a central role in redefining our automation strategy.
Why Join Us
This is a unique opportunity to shape the foundation of our data platform at a firm where
technical excellence is highly valued. You'll work alongside some of the brightest minds
in trading and engineering while tackling complex, high-impact challenges. The systems
you design will directly improve the speed, reliability, and scalability of our core
operations - and set the stage for our next phase of growth.
What You'll Do
• Design and implement scalable, production-grade data pipelines, moving away
from siloed, bespoke systems to a unified platform that supports alerting,
monitoring, and recovery.
• Drive adoption of modern orchestration and workflow technologies like Airflow or
similar job scheduling tools.
• Build and maintain infrastructure using Kubernetes, Terraform, and related tools
to ensure consistency and reliability.
• Partner with HPC and data teams to integrate storage systems, job scheduling,
and parallelized compute environments.
• Collaborate with engineers to identify areas for process improvement and
propose open-source or commercial solutions to improve efficiency.
• Act as a subject matter expert for observability, performance monitoring, and
failure recovery for critical data workflows.
• Provide technical leadership and mentorship to junior engineers, with a path
toward leading the automation team in the future.
What We're Looking For
• 2 - 7 years of relevant experience in software, data, and/or infrastructure
engineering.
• Strong background in data engineering or data platforms, including pipeline
design and workflow orchestration tools (e.g., Airflow, Slurm).
• Deep expertise in Kubernetes and Terraform - you've built, deployed, and
managed complex systems beyond surface-level experience.
• Experience with monitoring and observability tools to ensure reliability and fast
recovery when issues arise.
• Familiarity with large-scale systems and environments such as trading firms,
banks, or financial data providers is a plus.
• The ability to balance day-to-day operational work with long-term re-architecture
and strategic initiatives.
• Comfort collaborating across teams and influencing technical direction in a
growing organization.
• A mindset of continuous improvement and an eagerness to bring new ideas and
open-source best practices to the table.
Nice-to-Have
• Experience with high-performance or parallel file systems and integrating with
distributed compute environments.
• Experience with processing and managing extremely large volumes of data.
• Exposure to cloud-native environments and cost-optimization strategies.
• Background in finance or trading.

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