Goldbelly is an eCommerce platform that specializes in gourmet food delivery across the United States and Canada. The company offers a wide variety of foods from top restaurants and chefs, including iconic dishes and meal kits. Goldbelly allows customers to explore regional specialties and order them directly to their door, making it an ideal choice for food lovers interested in unique culinary experiences. Their offerings include exclusive gift options, subscriptions, and a diverse range of food categories like desserts, seafood, steaks, and more. As a platform, Goldbelly connects consumers with specialty food providers for a memorable dining experience at home.
March 29
π½ New York β Remote
π΅ $140k - $190k / year
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer
Goldbelly is an eCommerce platform that specializes in gourmet food delivery across the United States and Canada. The company offers a wide variety of foods from top restaurants and chefs, including iconic dishes and meal kits. Goldbelly allows customers to explore regional specialties and order them directly to their door, making it an ideal choice for food lovers interested in unique culinary experiences. Their offerings include exclusive gift options, subscriptions, and a diverse range of food categories like desserts, seafood, steaks, and more. As a platform, Goldbelly connects consumers with specialty food providers for a memorable dining experience at home.
β’ At Goldbelly, we believe food brings people together. β’ We connect people with their greatest culinary desires within and beyond local communities. β’ We empower food makers of all sizes and deliver their passion to food-lovers around the country. β’ As a Data Engineer, you will enhance how millions of customers connect with both novel and nostalgic food experiences on our platform. β’ By partnering with business leaders and leveraging state-of-the-art data engineering and analytics resources, you will play a key role in transforming our data infrastructure and pipelines.
β’ 3+ years of experience in data engineering and working on large-scale data systems. β’ Expert level in SQL required, proficiency in Python preferred. β’ Skilled in dimensional and normalized data modeling and transformation using tools like dbt Cloud. β’ Strong understanding of cloud-based data infrastructure (AWS and Snowflake preferred). β’ Experience with BI platforms like Metabase and Sigma Computing for data visualization/dashboard tools. β’ Experience with data ingestion and ETL pipelines like Fivetran. β’ Familiarity with event-driven architectures and real-time data streaming using tools like Confluent Kafka. β’ Proficient in version control with Git and collaborative development on GitHub or GitLab.
β’ equity (incentive stock options, vested over 4 years) β’ benefits.
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