Software Engineer, Data Infrastructure and Performance Metrics

Summary

Arta Finance uses AI and digital tools to make sophisticated financial products more accessible to a broader audience. The Software Engineer will build and improve data infrastructure, distributed systems, financial data pipelines, portfolio performance metrics, internal tools, and business intelligence experiences. The role focuses on scalability, reliability, observability, data quality, and product engineering across investment and B2B workflows.

Responsibilities

• Backend data ingestion, validation, and integration with downstream systems
• Frontend experiences for displaying investment data
• Internal tooling for identifying, validating, and correcting data issues
• Tools and workflows for onboarding new accounts and funds
• Ongoing improvements as we support more accounts, funds, and data sources
• Improving how large volumes of portfolio data are read and processed
• Optimizing performance calculations and reducing processing time
• Evaluating distributed data-processing approaches for computationally intensive workloads
• Simplifying existing calculation pipelines as we integrate additional external data sources
• Improving the reliability, observability, and maintainability of performance systems
• Expand global market and instrument data coverage
• Build and improve reusable data-processing infrastructure
• Strengthen data quality and validation systems
• Improve the reliability and maintainability of a large collection of production data pipelines
• Establish better patterns for shared ownership and operational resilience
• Building and maintaining data feeds for B2B agentic workflows
• Improving data quality and reliability
• Supporting new B2B integrations and use cases as they grow
• Maintaining and improving BI dashboards and reporting
• Building new metrics and views as business needs evolve
• Ensuring the underlying data is accurate, reliable, and easy to understand
• Improving the overall self-service analytics experience across the company

Skills

• 3+ years experience in software engineering with a primary focus on the reliability, observability, and maintainability of production-grade systems
• Proven experience building and maintaining scalable data infrastructure, including end-to-end ingestion, validation, and integration pipelines for complex datasets
• Proficiency in optimizing data-processing workflows and calculation performance to handle high-volume portfolio data efficiently and reliably
• Demonstrated ability to develop internal tools and dashboards that improve data quality, business intelligence, and self-service analytics capabilities
• Strong capacity to design and implement robust, reusable data schemas and workflows that adapt to evolving product needs and B2B integrations
• A collaborative mindset that prioritizes shared ownership, operational resilience, and effective cross-functional teamwork
• Hands-on experience with distributed data-processing approaches and managing computationally intensive workloads
• Location: Bay Area preferred (3 days/week in our Mountain View office). We're flexible for exceptional remote candidates on the West Coast
• Experience with Financial dataset is a plus

Qualifications

Must Haves

• 3+ years experience in software engineering with a primary focus on the reliability, observability, and maintainability of production-grade systems
• Proven experience building and maintaining scalable data infrastructure, including end-to-end ingestion, validation, and integration pipelines for complex datasets
• Proficiency in optimizing data-processing workflows and calculation performance to handle high-volume portfolio data efficiently and reliably
• Demonstrated ability to develop internal tools and dashboards that improve data quality, business intelligence, and self-service analytics capabilities
• Strong capacity to design and implement robust, reusable data schemas and workflows that adapt to evolving product needs and B2B integrations
• A collaborative mindset that prioritizes shared ownership, operational resilience, and effective cross-functional teamwork
• Hands-on experience with distributed data-processing approaches and managing computationally intensive workloads
• Location: Bay Area preferred (3 days/week in our Mountain View office). We're flexible for exceptional remote candidates on the West Coast

Nice to Haves

• Experience with Financial dataset is a plus

Benefits

• A competitive salary and benefits package, with ample opportunities for growth and advancement
• A vibrant and dynamic work environment where innovation, collaboration, and continuous learning are highly valued
• The opportunity to work with a diverse and talented team of industry experts, passionate about shaping the future of finance
• Robust health insurance offering for you and your family
• High deductible health plan available with health savings account contribution
• Generous parental leave
• Competitive PTO benefits
• Equity portion of the offer, representing a significant part of total compensation