Base: $171,000 to $235,500 py; equity: eligible; b...
On-site
Data quality, validation, testing, and observability
Scalable data models and pipelines
Production-level python development
Lead the path in using AI to boost productivity and transform how analytical engineering operates
Job Summary
Lead the path in using AI to boost productivity and transform how analytical engineering operates.
Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve data consumption workflows, and automate routine analytical tasks.
Matching Summary
Lead the path in using AI to boost productivity and transform how analytical engineering operates.
Salary
Base: $171,000 to $235,500 per year; Equity: eligible; Benefits: eligible
Skills & Requirements
Must-have
Data quality, validation, testing, and observability
Scalable data models and pipelines
Production-level Python development
Strong SQL skills
Data warehousing concepts, ETLs, big data technologies
Airflow, Docker, DBT or similar tools
Nice-to-have
AI to boost productivity
Leading technical execution
Emerging technologies enthusiasm
Collaboration with cross-functional partners
Key Requirements
4+ years experience in analytics & data engineering
Demonstrated communication and leadership skills
BA/BS degree in Computer Science, Math, Physics, or related technical field