Note: The job is a remote job and is open to candidates in USA. Tilt is building an audited methodology layer and open platform for rules-based investment strategies used by humans and AI agents. The Staff Data Engineer will build the data foundation powering methodology generation, AI reasoning, analytics, and investment products, while leading data platform architecture, pipeline development, reliability, and engineering best practices.
Responsibilities
- Design and build the data platform that powers methodology generation, AI reasoning, analytics, and investment products
- Develop reliable, scalable pipelines that ingest, transform, and enrich structured and unstructured financial information
- Build systems that continuously process data from filings, market data, news, research, and other external sources
- Design data models that support product development, machine learning, and long-term platform evolution
- Ensure our data is accurate, observable, reliable, and available when every downstream system depends on it
- Make thoughtful tradeoffs between data quality, performance, scalability, and operational simplicity
- Raise the quality of data engineering across the company through technical leadership, architecture, and best practices
- Continuously improve how we build by leveraging AI throughout development, testing, monitoring, and data quality workflows
Skills
- • You've spent years building production data platforms, not just ETL pipelines, and understand the difference
- • You naturally think about how data enables products, not just how it's stored
- • You have strong engineering fundamentals and are comfortable designing distributed data systems at scale
- • You're able to simplify complex data architectures into systems that are reliable, maintainable, and easy to extend
- • You understand that trustworthy AI starts with trustworthy data
- • You communicate technical ideas clearly and enjoy working closely with engineers, AI researchers, and founders
- • You're comfortable taking ownership without waiting for direction and enjoy solving foundational infrastructure problems
- • You believe AI should fundamentally change how financial data is collected, processed, and used
- • Experience building large-scale data platforms, streaming pipelines, or modern data infrastructure
- • Experience working with financial, market, or other high-volume information sources
- • Strong experience with distributed systems, cloud infrastructure, and data orchestration
- • Experience supporting machine learning or AI platforms with high-quality data pipelines
- • Experience at an early-stage startup where you've owned significant platform or infrastructure decisions
- • You're energized by building systems that quietly power everything else
Benefits
- Meaningful equity package
- Comprehensive health and dental benefits
- A remote-first, flexible work environment
- Direct partnership with the founders and a team where more than half are former founders
- The opportunity to help define a company creating a new category in capital markets
Company Overview