Software Engineer, Data

📋 Description

• Design and build data pipelines from APIs, logs, and DBs.
• Ensure reliable ETL/ELT execution with data freshness.
• Standardize analytics workflows with version control, CI/CD, and validation.
• Develop semantic layer for self-service analytics.
• Optimize cloud compute and data model performance for low latency.
• Mentor data analysts and data scientists on engineering practices.

🎯 Requirements

• 5+ years as software engineer; 3+ in data/analytics engineering.
• Bachelor's degree in quantitative/technical fields or equivalent experience.
• Expert-level SQL: write, tune, and optimize complex queries.
• Experience designing data lakes or cloud-based warehouses.
• Deep understanding of ETL/ELT data integration patterns.
• Translate data into actionable narratives using BI tools.

🎁 Benefits

• Generous stock options
• Medical, dental, and vision insurance
• Generous PTO
• 11 paid company holidays
• 401(k) plan
• On-site gym and 24/7 showers