Senior Software Engineer – Data Engineering
| Company | Akuna Capital |
|---|---|
| Location | Chicago, IL, USA |
| Salary | $130000 – $130000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
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 a significant plus
- 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
- 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
Responsibilities
- Work within a growing Data Engineering division supporting the strategic role of data at Akuna
- 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 & 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 (SLA’s) 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
Preferred Qualifications
- Highly motivated and willing to take ownership of high-impact projects
- Demonstrated experience working with diverse data sets and frameworks across multiple domains – financial data experience not required, but a strong plus
- 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