Data Engineer

LeoForce; Chicago (IL); On-site; USD 200,000 - 250,000; Full time

Job summary

LeoForce in Chicago, IL is seeking a Senior Data Engineer to drive the design and expansion of our data platform across diverse sources, enabling streaming, batch, and research workloads. You will work with Trading, Quant, Tech, and Operations teams to identify data production and consumption needs and deliver high-impact projects.

You will build and deploy large-scale batch and streaming pipelines using Kubernetes/EKS, Kafka/MSK, and Databricks/Spark, while mentoring junior engineers and

Qualifications

• BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent field.
• 5+ years of professional software development experience.
• Proficiency in Java or Scala; Python is a plus.
• Experience with data platforms and big data tech.
• Strong communication, analysis, and problem-solving skills.
• Hands-on AWS cloud development and deployment experience.

Responsibilities

• Build and expand data pipelines for batch and streaming workloads.
• Collaborate with Trading, Quant, Technology, and Operations teams.
• Design and implement data platform architecture across hybrid cloud.
• Mentor junior engineers on software and data engineering best practices.
• Develop automated data validation tests and ensure SLA adherence.
• Deliver clean, well-tested, well-documented code for mission-critical apps.

Skills

Java/Scala

Python

Data modeling

Analytical thinking

Problem-solving

Communication

Education

BS/MS/PhD in CS/Engineering/Physics/Math or equivalent

Tools

Delta Lake

Spark

Kubernetes

Kafka

ClickHouse

Presto/Trino

Databricks

Job description

Job Description

Chicago,IL, US

Experience:

Senior Level

Salary:

$180,000 - $250,000 per year

Job Details:

In this role, you will: 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 that 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. Qualities that make great candidates: 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, Click House, 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.

A bit 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 operation

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.

#techservices #apache #distributed #aws-devops #tier3