Senior Analytics Engineer (AI Insurance SaaS)

📋 Description

• Lead design and deployment of a scalable analytical data platform.
• Influence tech choices for data ingestion, storage, and analytics.
• Shape data architecture to align with business needs.
• Build and maintain ETL/ELT pipelines into the data warehouse.
• Collaborate with data scientists and engineers to deliver insights.

🎯 Requirements

• Bachelor's or Master's in CS, Engineering, or related field.
• 5+ years in data engineering focused on analytic platforms.
• Cloud data warehouses: BigQuery, Snowflake, Redshift.
• Strong SQL and data modeling (star schema, dimensional).
• ETL/ELT pipelines with Dagster, Airflow, dbt, or similar.
• Python, Java, or Scala.

🎁 Benefits

• Compensation: $200-225K base, plus annual bonus and RSU equity.
• Medical, dental, vision, disability, life, and 401k match.
• Paid parental leave and flexible work schedule.
• Catered lunches, happy hours, pet-friendly spaces, stipend.
• Growth: $1,000/year for development and tuition reimbursement.
• Sponsorship: open to visa transfer for eligible U.S. candidates.