Arta Finance
Software Engineer, Data Infrastructure and Performance Metrics
About this role
Arta seeks a Software Engineer to build and optimize data infrastructure for financial metrics, alternative investments, and business intelligence. You'll design scalable pipelines to ingest complex financial datasets, optimize portfolio performance calculations, and develop internal tools that support B2B workflows and company analytics.
What you'll do
- Build backend data ingestion, validation, and integration pipelines for alternative investment data
- Optimize performance calculations and reduce processing time for portfolio metrics at scale
- Evaluate and implement distributed data-processing approaches for computationally intensive workloads
- Develop internal tools and BI dashboards for data quality, validation, and self-service analytics
- Design and maintain Asset Master data feeds for B2B agentic workflows
- Improve reliability, observability, and maintainability of data and metrics systems
What they're looking for
- Data infrastructure and pipeline design
- Distributed systems and data processing
- Performance optimization and scalability
- Production system reliability and observability
- Financial data handling
- Backend development and API design
- SQL and data modeling
- BI tools and analytics platforms
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Arta Finance
Arta Finance builds AI agent systems for wealth management platforms in regulated financial environments. The company is hiring Machine Learning Engineers to design production-ready AI systems, architect agent orchestration, and develop evaluation frameworks for enterprise deployment.
- Website
- artafinance.com
Likely interview questions
- Describe a time you optimized a data pipeline handling high-volume datasets—what metrics did you improve and how did you measure success?
- Walk us through how you would design a system to ingest and validate complex financial data from multiple external sources.