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Fintal Partners · Chicago, IL

Data Platform Engineer

seniorfull timePosted yesterday
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Stack mentioned

etldata-governanceci/cddata-engineeringpythonapache-sparkpandasgitgitlab

We're looking for a data-focused engineer with a strong operational mindset to support a global trading firm's Performance Team data platform. This role owns the reliability, accuracy, and efficiency of the data systems that underpin performance analysis and decision-making.

It's a production-facing position, working alongside the Performance team and aligned stakeholders to keep data workflows robust, observable, and efficient.

What you'll do

- Take ownership of the day-to-day operational health of the Performance Team's data platform

- Monitor and maintain ETLs and data pipelines for accuracy, timeliness, and stability

- Build and maintain data quality checks, reporting, and alerting tailored to performance data

- Diagnose and resolve data issues and pipeline failures, driving each to root cause

- Own and troubleshoot CI/CD pipeline issues tied to performance data workflows

- Track workloads and resource consumption, resolving imbalances and bottlenecks

- Develop operational tooling, automation, and runbooks

- Continuously tune pipelines and workloads to improve throughput and resource efficiency

What you bring

- 3+ years in software or data engineering with an operational/production focus

- Bachelor's degree in Computer Science or a related discipline strongly preferred

- Strong Python skills, including hands-on work with PySpark and Pandas

- Track record supporting production ETL or data processing systems

- Comfort with Git-based workflows and CI/CD tooling (GitLab preferred)

- Sharp analytical skills and a high bar for detail

- Willingness to take ownership in an environment where performance and reliability are critical

Nice to have

- Background in performance-critical or high-throughput systems

- Exposure to workload scheduling, resource management, or cluster-based compute

What success looks like

- Performance data pipelines are reliable, observable, and trusted across the business

- Problems are caught early and closed out quickly with clear root-cause ownership

- Workloads stay well-balanced and systems run efficiently

About the client

Our client is a leading global trading firm, combining a sophisticated research environment with a world-class technology platform. Established over three decades ago, they are a consistent source of liquidity across global markets. With offices spanning the US, Europe, Asia Pacific, and India, their quant researchers, engineers, traders, and business operations teams share a collaborative, high-performance culture and a strong commitment to giving back. From entering new markets to adopting emerging technologies and diversifying trading strategies, they continue to innovate at pace.

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