Akuna Capital
Software Engineer - Data Engineering
About this role
Akuna Capital, a Chicago-based options market-maker, seeks a Software Engineer for its Data Engineering team to design and maintain large-scale data systems supporting trading and quantitative analysis. You'll build batch and streaming pipelines, mentor junior engineers, and ensure data reliability across the organization's hybrid cloud infrastructure.
What you'll do
- Design and expand data platform supporting streaming, operational, and research workflows across diverse data sources
- Build and deploy batch and streaming pipelines using Kubernetes, Kafka, and Databricks/Spark on AWS
- Collaborate with Trading, Quant, and Operations teams to identify data needs and deliver high-impact projects
- Create automated data validation test suites to ensure data quality and SLA compliance
- Mentor junior engineers on software and data engineering best practices
- Develop clean, well-tested, documented code for mission-critical applications
What they're looking for
- Java/Scala (required); Python (preferred)
- Data platforms: Delta Lake, Spark, Kafka, ClickHouse, Presto/Trino
- AWS cloud development, deployment, and monitoring
- Kubernetes and container orchestration
- Batch and streaming pipeline design at scale
- Software engineering best practices (GitOps, CI/CD, Agile)
- Data quality and SLA management
- Problem-solving and analytical thinking
Benefits
- Employer-paid medical, dental, and vision coverage
- Retirement contributions
- Paid time off
- Discretionary performance bonus
- Comprehensive benefits package
- Mentorship and career growth opportunities
Opens the official application on the employer’s site. No login required.
Akuna Capital
Akuna Capital is an options market-maker and trading firm that operates 24/7 across crypto and traditional markets globally. The company is hiring Systems Engineers, Software Engineers, Security Engineers, and Data Engineers to build and maintain low-latency trading infrastructure, core trading systems, large-scale data pipelines, and secure technical infrastructure.
View all jobs at Akuna CapitalLikely interview questions
- Walk us through your experience building large-scale batch and streaming data pipelines. What were the key challenges you faced with SLA and data quality requirements?
- Tell us about your hands-on experience with Spark, Kafka, and Kubernetes. How have you used these technologies together in a production environment?