Higgsfield - Senior Analytics Engineer
Requirements
• 5+ years of experience as a Data Engineer or similar role. • Strong proficiency in Python and SQL. • Hands-on experience building data pipelines using tools like Airflow, Spark, or similar. • Experience with data warehouses and databases (e.g., BigQuery, Snowflake, ClickHouse). • Solid understanding of ETL/ELT, data modeling, and schema design. • Experience working at fast growing b2c startup. • Experience working with high-scale, production data systems. • Willingness to work in a fast-paced startup environment. • Bonus points for experience with real-time data, ML pipelines, or GenAI systems. • This role is based in the San Francisco Bay Area.
Responsibilities
• Own the Source of Truth by translating product- and finance-defined metrics into durable warehouse models ensuring consistent usage across the company. • Eliminate conflicting logic across dashboards and teams to ensure executive- and board-level reporting is powered by consistent, traceable warehouse logic. • Build Guardrails by maturing existing BigQuery-based stacks through centralizing business logic in the warehouse with enforced governance controls. • Implement automated validation and reconciliation between product systems, billing systems, and financial reporting to prevent silent metric drift and post-close surprises. • Ensure new products, models, and features are correctly integrated into reporting for accurate company metrics representation. • Enable the Company by partnering with various departments (Product, Engineering, ML, Growth, Finance) to deliver trusted data that supports decision-making processes. • Improve documentation, testing, and transparency across warehouse systems to reduce key-person risk and increase confidence in company metrics.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT