Senior Data Engineer
Core
Designing, building, and maintaining scalable data pipelines and analytical models to drive analytics and data-driven decision-making for global engineering and product teams.
Role type
Senior IC data engineer (analytics & infrastructure)
Builds
Dimensional data models, ETL pipelines, self-service dashboards, and AI-powered data exploration tools
Domain
SaaS / Engineering Operations / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, dbt, Snowflake, ETL development, Django, query optimization, data modeling
Preferred skills
Airflow, Terraform, LLM/AI integration, API integration, data quality monitoring, CI/CD, containerization
Technologies
Snowflake, dbt, Airflow, Django, Python, SQL, Terraform, MCP servers, Claude, GitHub, Jira
Responsibilities
Design and build dimensional data models; Develop and maintain ETL pipelines and Airflow DAGs; Build self-service data products including dashboards and AI servers; Optimize data product performance; Implement data quality tests and monitoring; Integrate data from APIs and third-party tools; Collaborate with cross-functional teams to measure infrastructure adoption and productivity
Seniority
Senior, hands-on IC