Senior Data Engineer

Description: Worldly is seeking a Senior Data Engineer to build and maintain systems for internal and customer-facing analytics. The role involves managing a production data lake and integrating various databases to enhance data capabilities. Requirements: 5+ years in data engineering or related fields. Advanced SQL and experience with Postgres and graph databases. Familiarity with Apache Iceberg, Trino, and streaming/CDC pipelines. Strong Python skills and experience with dbt and AWS infrastructure. Knowledge of data security practices and analytics data modeling. Benefits: Medical, Dental, and Vision Insurance with significant premium coverage. Company-sponsored 401k with up to 4% match and Incentive Stock Options. Unlimited PTO and 100% Parental Paid Leave. Competitive salary with performance-based bonuses and work-from-home stipends.