Senior Data Engineer
Core
Designing, building, and maintaining scalable data pipelines and reporting solutions for business intelligence, operational analytics, and AI usage tracking.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, ETL/ELT workflows, and reporting solutions
Domain
Cloud data engineering and AI-driven analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Google Cloud Platform, BigQuery, ETL/ELT workflow design, API integration, data pipeline optimization, data quality assurance, BI tool configuration, technical documentation
Preferred skills
Experience with OpenAI and Claude APIs, AI token usage tracking, semi-structured data processing
Technologies
Google Cloud Platform, BigQuery, OpenAI API, Claude API
Responsibilities
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows within Google Cloud Platform environments; Build and optimize data solutions using BigQuery for large-scale analytics and reporting; Integrate and process data from external APIs, including OpenAI and Claude APIs; Develop solutions to track and analyze AI token usage, consumption metrics, and related operational data; Design and maintain reliable data storage and collection processes for structured and semi-structured datasets; Collaborate with stakeholders to define reporting requirements and support analytics initiatives; Support and optimize reporting solutions using modern BI tools; Ensure data quality, consistency, and performance across reporting and analytics workflows; Troubleshoot and resolve data pipeline, reporting, and integration issues; Document technical solutions, data flows, and operational processes to support maintainability and scalability.