Founding Central Data Engineer

hyperexponential(1 month ago)

RemoteFull TimeExecutive$212,386 - $279,244 (estimated)Central Functions

About this role

The Founding Central Data Engineer at Hyperexponential will design and manage the company's Databricks lakehouse while establishing data standards and architecture to empower analytics and AI initiatives across the organization. Responsibilities include building robust ELT pipelines, modeling cross-domain metrics, and creating a reliable embedding and retrieval layer to optimize data accessibility. This role demands a strong background in data engineering, particularly in Databricks environments and data pipeline development, while collaborating across functions to ensure trust and clarity in the company's data infrastructure.

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Required Skills

Databricks
ELT Pipelines
Spark
SQL
Python
Data Modeling
Data Quality
Data Contracts
RAG Systems
Vector Search

+12 more

About hyperexponential

hyperexponential.com

Hyperexponential is a pioneering technology firm providing cutting-edge pricing decision intelligence solutions specifically developed for the insurance industry. Their platform, hx Renew, leverages AI, automation, and advanced analytics to empower commercial insurers to optimize underwriting processes, significantly reduce decision times, and improve profitability. With a robust customer base that includes over 40 enterprise clients and more than $50 billion in gross written premiums processed annually, Hyperexponential is transforming how insurers manage risks and pricing strategies.