Senior Data Engineer, Analytics

📋 Description

• Create and maintain data pipelines and foundational datasets for analytics and experiments.
• Design scalable DB architectures for large, complex data, balancing cost.
• Partner with data science and engineering teams to improve instrumentation and reliability.
• Build scalable data quality audits with automated alerts and anomaly detection.
• Identify opportunities to improve ETL performance and reduce costs.
• Create dashboards and self-serve analytics to support business goals.

🎯 Requirements

• 4+ years building production data pipelines with high-volume data.
• 4+ years designing and maintaining robust data models.
• 4+ years writing SQL and Python.
• Experience auditing data quality on massive datasets (billions of rows).
• Improve ETL and dashboard performance and cost optimization.
• Strong communication and stakeholder management in ambiguous environments.

🎁 Benefits

• US base salary: $196,000–$220,500 + equity + benefits.
• Modern data stack: BigQuery, Airflow, DBT in production.
• BI tools: Looker, Tableau for dashboards.
• Experimentation: supports A/B testing at scale.
• Bonus: experience with growth or gaming analytics.
• Cross-functional collaboration with product, data science, and governance teams.