Senior Data Engineer: AI-Powered Real-Time Pipelines Hybrid

Lighthouse; United States; À distance; USD 130 000 - 170 000; Plein temps

Avantages offerts par ce poste

Flexible work from home

Global offices option

Health insurance

Pension plan

Lunch vouchers

Mobility budget

Résumé du poste

Lighthouse is building the hospitality industry’s most powerful AI platform, processing vast hotel data to provide real-time actionable intelligence. As a Senior Data Engineer, you will join a highly skilled team of data engineers and drive the end-to-end lifecycle of our large-scale data ingestion and transformation engine.

The role emphasizes scalable pipelines, collaboration across product and engineering, and the use of cutting-edge AI-assisted tools to boost velocity and reliability.

Qualifications

• Proficient in Python for large-scale data processing and pipelines.
• Solid knowledge of data cloud technologies and major cloud platforms (GCP/AWS/Azure).
• Experience building/maintaining production data pipelines.

Responsabilités

• Own end-to-end lifecycle of large-scale data ingestion and transformation pipelines.
• Design, develop, scale, and maintain data pipelines processing massive data streams (≈100 TB/day).
• Implement domain modeling and transformation to unify disparate sources into high-fidelity data products.
• Improve reliability through observability, automated testing, and automation.
• Collaborate with product, engineering, support, and business teams; communicate with stakeholders during incidents.

Connaissances

Python

Data pipelines

Cloud platforms

English proficiency

AI-assisted tools

Outils

dbt

Airflow

BigQuery

GCP

Pub/Sub

Kubernetes

Description du poste

Lighthouse is building the hospitality industry’s most powerful AI platform, processing vast hotel data to provide real-time actionable intelligence. As a Senior Data Engineer, you will join a highly skilled team of data engineers and drive the end-to-end lifecycle of our large-scale data ingestion and transformation engine.

The role emphasizes scalable pipelines, collaboration across product and engineering, and the use of cutting-edge AI-assisted tools to boost velocity and reliability.