Data Engineer

This role is hosted by Jim Quirk.

About us

We are a fast-growing, tech-driven firm operating in a fast-paced market environment where data is central to our competitive edge. Our technology organization values high-performance engineering, hybrid-cloud scalability, and rigorous data quality. We foster a collaborative, Agile culture where engineers enjoy deep technical ownership, mentor peers, and directly impact mission-critical operations.

Why join us?

Drive High-Impact Innovation: You will have full ownership of the architecture, pushing our data platform beyond current tech limits to support rapid business growth.

Responsibilities

• Work within a growing Data Engineering division supporting the strategic role of data at the firm.
• Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational, and research workflows.
• Work closely with Trading, Quant, Technology, and Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high-impact projects.
• Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
• Mentor junior engineers in software and data engineering best practices.
• Produce clean, well-tested, and documented code with a clear design to support mission-critical applications.
• Build automated data validation test suites that ensure data is processed and published in accordance with well-defined Service Level Agreements (SLAs) pertaining to data quality, data availability, and data correctness.
• Challenge the status quo and help push our organization forward as we grow beyond the limits of our current tech stack.

Requirements

• BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field.
• 5+ years of professional experience developing software applications.
• Java/Scala experience required; Python experience is a significant plus.
• Highly motivated and willing to take ownership of high-impact projects upon arrival.
• Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino.
• Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements.
• Must possess excellent communication, analytical, and problem-solving skills.
• Demonstrated experience working with diverse data sets and frameworks across multiple domains—financial data experience is not required, but a strong plus.
• Recent hands-on experience with AWS Cloud development, deployment, and monitoring necessary.
• Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects.
• The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems, are essential functions of the role.

Pay

$180,000 - $250,000 per year