Staff Data Engineer-GCP (Austin: On-Site)
Core
Design and build large-scale batch and real-time data pipelines, data warehousing solutions, and data integrations for analytics and AI model support.
Role type
Staff Data Engineer
Builds
Complex data pipelines, data warehouses, streaming solutions, and data quality checks on cloud platforms
Domain
Retail, Cloud Data Engineering
Deliverable
production ML models
Required skills
Advanced SQL, Python, Data Warehousing, Data Modeling, Data Pipeline Orchestration, Real-time Streaming, BigQuery, Databricks, Cloud Infrastructure (GCP/AWS), Automated Testing, Data Quality Assurance
Preferred skills
Machine Learning concepts, Prompt Engineering, Agile/Lean Startup methodologies
Technologies
GCP, AWS, BigQuery, Databricks, Pub/Sub, CDC frameworks
Responsibilities
Design data patterns for analytics datasets; maintain and streamline end-to-end data pipelines; perform data validation and quality assurance; build real-time streaming requirements; mentor Senior Data Engineers; conduct design reviews; develop data integrations for application engineering; create documentation and training materials; diagnose and solve production support issues.
Seniority
Staff, hands-on IC with mentorship responsibilities
