Senior Data Platform Engineer - AI-Driven Finance (Remote)

TechTwitter.io; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first

Equity

Health benefits

Flexible hours

Founders collaboration

Job summary

Agora Intelligence (d.b.a. Tilt) is seeking a Principal Data Engineer who thrives in ambiguity to build a data foundation powering AI-driven investing.

You will work directly with founders and researchers to implement scalable data platforms and high‑quality pipelines across multiple sources, guiding data strategy and architecture. This remote‑first role offers equity, comprehensive benefits, and a chance to influence how AI-driven finance data is collected, processed, and used in a new category

Qualifications

• Experience building production data platforms, not just ETL pipelines.
• Ability to design distributed data systems at scale.
• Comfort simplifying complex architectures for reliability.

Responsibilities

• Design and build data platform powering methodology generation and analytics.
• Develop scalable pipelines ingesting, transforming, enriching financial data.
• Build systems processing data from filings, market data, and news.
• Design data models supporting product development and ML pipelines.
• Ensure data reliability, observability, and availability for downstream systems.
• Balance data quality with performance and scalability, keeping simplicity.
• Provide technical leadership and shape data engineering standards.

Skills

Data platforms

Distributed systems

Cloud infrastructure

Data pipelines

ML data workflows

Data quality

Data modeling

ETL pipelines

Education

Bachelor's degree in CS/Engineering

Tools

Kafka

Airflow

Spark

Cloud (AWS/GCP)

Snowflake

Job description

Agora Intelligence (d.b.a. Tilt) is seeking a Principal Data Engineer who thrives in ambiguity to build a data foundation powering AI-driven investing.

You will work directly with founders and researchers to implement scalable data platforms and high‑quality pipelines across multiple sources, guiding data strategy and architecture. This remote‑first role offers equity, comprehensive benefits, and a chance to influence how AI-driven finance data is collected, processed, and used in a new category