Software Engineer - Data Engineering
Akuna Capital is a proprietary trading firm specializing in options market making. It provides liquidity across global financial markets using advanced technology, quantitative research, trading strategies, and automation.
About Akuna Capital
Akuna Capital is a global proprietary trading firm headquartered in Chicago, with offices in London, Sydney, Shanghai, and Singapore. The firm provides liquidity as an options market maker across global financial markets, covering products including commodities, indexes, and cryptocurrencies. Akuna designs and develops its own low-latency trading systems, mathematical models, strategies, and infrastructure through its Technology, Trading, Quant, and Operations departments. It also offers an Options 101 course introducing industry fundamentals and options trading concepts.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You expand the data platform, build batch and streaming pipelines, collaborate with Trading, Quant, Technology, and Business Operations teams, mentor junior engineers, produce tested and documented code, create automated data validation suites, and improve the technology stack.
Requirements
- BS, MS, or PhD in computer science, engineering, physics, mathematics, or an equivalent technical field
- 5+ years of professional experience developing software applications
- Java or Scala experience
- Experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, or Presto/Trino
- Experience building large-scale batch and streaming pipelines with SLA and data quality requirements
- AWS cloud development, deployment, and monitoring experience
- Experience with Agile software engineering practices, GitOps, and CI/CD
- Communication, analytical, and problem-solving skills
Responsibilities
- Support the strategic role of data within the data engineering division
- Design and expand the data platform across streaming, operational, and research workflows
- Identify how data is produced and consumed and deliver high-impact projects
- Build and deploy batch and streaming data pipelines
- Mentor junior engineers in software and data engineering best practices
- Produce clean, tested, and documented code
- Build automated data validation test suites
- Improve the organization’s technology stack
Benefits
- Employer-paid medical insurance
- Dental insurance
- Vision insurance
- Retirement contributions
- Paid time off
- Discretionary performance bonus