Staff Data Engineer — Build AI-Powered Investment Data Platform

Tilt

Miami (FL)

On-site

USD 180,000 - 230,000

Full time

15 hours ago
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Benefits offered by this job

Competitive salary
Equity
Remote-first
Health benefits
Leadership exposure

Job summary

Agora Intelligence, the team behind Tilt, is hiring a Staff Data Engineer to design and scale data platforms powering methodology generation, AI reasoning, and analytics for capital markets.

You will own end-to-end data pipelines, ingest diverse financial data, and collaborate with founders, product engineers, and AI researchers to raise data quality and enable trustworthy AI across the product. This remote-first role offers equity and close partnership with leadership.

Qualifications

  • Experience building production data platforms, not just ETL pipelines.
  • Ability to see how data enables products, not just how it's stored.
  • Strong engineering fundamentals for designing distributed data systems.

Responsibilities

  • Design and build the data platform powering methodology generation, AI reasoning, analytics, and investment products.
  • Develop reliable, scalable pipelines ingesting, transforming, and enriching financial data.
  • Build systems processing data from filings, market data, news, research, and external sources.
  • Design data models supporting product development, ML, and platform evolution.
  • Ensure data is accurate, observable, reliable, and available for downstream systems.

Skills

Distributed systems
Cloud infrastructure
Data orchestration
ML data pipelines
Startup experience

Job description

Agora Intelligence, the team behind Tilt, is hiring a Staff Data Engineer to design and scale data platforms powering methodology generation, AI reasoning, and analytics for capital markets.

You will own end-to-end data pipelines, ingest diverse financial data, and collaborate with founders, product engineers, and AI researchers to raise data quality and enable trustworthy AI across the product. This remote-first role offers equity and close partnership with leadership.

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