Data Engineer (Mid Level)
Data Engineer – Insights (AI/ML)
Location: Remote (US)
Department: Insights (AI/ML)
Reports to: Engineering Manager
About the Role
Irth is building a new AI-driven threat and risk management platform for pipeline asset integrity. The platform brings together three capabilities that have historically been separate at Irth:
- A governed, cross-product data platform built on Databricks and Azure
- An AI-powered ingestion layer that normalizes, repairs, and enriches customer data without services-heavy onboarding
- A reusable analytical layer that runs industry-standard, Irth-developed, and customer-built risk models against the data
As a Data Engineer, you will build the pipelines that make this platform real. Pipeline operators hold their integrity data across inline inspection reports, GIS systems, maintenance records, spreadsheets, scanned documents, and enterprise systems of record. Getting that data ingested, cleaned, aligned, and made model-ready is one of the biggest obstacles to adoption in this market—and it is the problem this role exists to solve.
You will implement ingestion and transformation pipelines based on patterns established by the Data Architect, build the AI-assisted ingestion layer in partnership with data scientists, and help operationalize both. This role is well suited to a mid-level engineer who wants to deepen their exp
