Agora Intelligence (d.b.a. Tilt)
We're looking for a Principal Data Engineer who thrives in ambiguity, enjoys building large-scale data platforms, and wants to define how AI-native investing is powered behind the scenes. You'll work directly with the founders, product engineers, and AI/ML researchers to build the data foundation that powers everything we do. This isn't a role where you'll simply maintain pipelines. You'll help identify opportunities, influence our data strategy, and set the standard for data engineering across Tilt.
What You'll Do
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.
Who You Are
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.
What Sets You Apart
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.
What We Offer
Competitive base salary and meaningful equity package
Direct partnership with the founders and a team where more than half are former founders.
Comprehensive health and dental benefits.
A remote-first, flexible work environment.
The opportunity to help define a company creating a new category in capital markets.
How to Apply
Apply through Bookface and include:
A link to your GitHub, portfolio, or examples of your work.
A short note about a data platform or infrastructure project you've built that you're most proud of, including the problem you solved and your role in the outcome.
A few sentences on why you're interested in Tilt.