Data Infrastructure Engineer for Trustworthy AI

Factagora; Republic (MO); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Factagora is seeking an engineer to own the transition of our data infrastructure into scalable, trustworthy AI foundations. You will build and maintain ingestion pipelines, store and query Knowledge Graph data, and ensure data quality for researchers and products.

You will design cost-efficient cloud architectures, optimize performance, and implement security and privacy controls so our data remains accurate and usable across teams.

Qualifications

• 2+ years of software development or equivalent practical ability.
• Experience building data pipelines in Python, Scala, or Java.
• Experience designing and operating SQL and NoSQL databases.
• Experience building data infrastructure on Azure.
• Experience with large-scale data processing and performance optimization.

Responsibilities

• Designing and building large-scale data ingestion pipelines (batch and streaming).
• Designing and operating Knowledge Graph and ontology data stores (Graph DB, vector DB, and more).
• Building data quality monitoring, anomaly detection, and automation pipelines.
• Operating the data platform and feature store used by our Research Engineers.
• Designing cloud-based data infrastructure architecture and optimizing cost.
• Designing and operating data security, access control, and privacy policies.

Skills

2+ years experience

Python

Scala

Java

Tools

Graph DB

Vector DB

Azure

SQL

NoSQL

Job description

Factagora is seeking an engineer to own the transition of our data infrastructure into scalable, trustworthy AI foundations. You will build and maintain ingestion pipelines, store and query Knowledge Graph data, and ensure data quality for researchers and products.

You will design cost-efficient cloud architectures, optimize performance, and implement security and privacy controls so our data remains accurate and usable across teams.