Senior Data Engineer, Reporting

5+ years of data engineering experience with production-scale systems Expert-level SQL skills with analytical databases Strong Python programming with data libraries: pandas, numpy, pyarrow Experience with ETL orchestration tools: Apache Airflow, Prefect, dbt, or similar Deep understanding of analytical databases, partitioning strategies, and OLAP optimization Experience building SaaS data platforms with tenant isolation requirements Knowledge of Row-Level Security (RLS) implementation Understanding of RBAC patterns and session-based access control Experience with authentication flows in data systems Familiarity with compliance requirements (SOC2, GDPR) for multi-tenant data

Build scalable data infrastructure Design and implement ETL pipelines Create real-time data ingestion systems Build multi-tenant data models Develop data quality frameworks Architect multi-tenant security Implement Row-Level Security (RLS) Design dynamic permission models Build session-based context management Create comprehensive audit trails Optimize performance at scale Design database schemas with advanced partitioning Build materialized views and aggregated tables Implement query optimization Handle high-concurrency embedded dashboard usage Integrate analytics platform Build dashboard data sources Handle complex data structures Create flat, denormalized tables Implement custom field handling