Staff Data Engineer
Core
Design and implement complex data models, metadata, reporting tools, and scalable data infrastructure to drive data-driven decision-making for data science and ML products.
Role type
Staff Data Engineer
Builds
Scalable data systems, data models, reporting tools, and front-end applications exposing analytical data sets.
Domain
Security technology / Data Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Complex data modeling, metadata management, CDC pipeline implementation, SQL query optimization, AWS data infrastructure, Terraform, dimensional and fact modeling, system-oriented software engineering mindset.
Preferred skills
Experience with Amazon or Facebook data practices, AI application for efficiency, industry leadership in security/anonymization/compliance.
Technologies
Snowflake, BigQuery, Redshift, dbt, Airflow, Dagster, Looker, Mode, Sigma, Debezium, AWS, Terraform.
Responsibilities
Design and deploy data infrastructure for decision-making; maintain CDC pipelines for customer reporting; develop front-end applications for enterprise data exposure; act as expert on data administration and master data management; lead development of scalable data systems.
Seniority
Staff, technical thought leader & hands-on IC
