Staff Analytics Engineer

📋 Description

• Partner with Accounting and FP&A to support month-end and quarter-end close, building the
• Make financial data and pipelines audit-ready: SOX-compliant controls, lineage, change management
• Design and own the architecture of curated, well-documented source-of-truth financial datasets in
• Build and own scalable batch (and where needed, near-real-time) pipelines orchestrated with
• Define reusable data quality and reconciliation frameworks (tests, monitoring, alerting, SLAs) and
• Drive data contracts with upstream engineering teams, mentor Analytics Engineers, and build

🎯 Requirements

• Accounting exposure, either formal (accounting/finance degree or coursework, CPA/CMA) or hands-on
• Expert SQL (window functions, complex aggregations, optimization) and strong Python (OOP, reusable
• Deep data modeling: designed modular, reusable source-of-truth models (star/snowflake schemas
• Built and owned production ETL/ELT pipelines with dbt, Airflow or similar, including testing
• Modern data warehouse/lakehouse experience (Snowflake, Databricks, BigQuery, Redshift).
• Staff-level scope: led multi-quarter, cross-team technical initiatives, set architecture/direction

🎁 Benefits

• Total compensation may include equity and bonus eligibility.
• Benefits include medical, dental, vision, 401(k).