Remote Data Engineer

Description:

• At Goldbelly, we believe food brings people together and connect people with their culinary desires.
• As a Data Engineer, you will enhance how millions of customers connect with food experiences on our platform.
• You will partner with business leaders and leverage data engineering and analytics resources to transform our data infrastructure and pipelines.
• Responsibilities include collaborating with full stack engineers, machine learning engineers, data analysts, and product managers to design and optimize data pipelines and ETL processes.
• You will design, develop, and maintain robust, scalable data systems to ensure seamless data integration and high availability.
• You will improve our data infrastructure by optimizing ingestion, storage, and retrieval processes to support analytics, reporting, and machine learning applications.
• You will help define and ensure data quality, governance, and security best practices across all data workflows.
• You will build and maintain data models that support business insights and operational reporting.
• You will apply software engineering best practices, including CI/CD, testing, and version control, to ensure reliability and maintainability of data engineering workflows.

Requirements:

• You must have 3+ years of experience in data engineering and working on large-scale data systems.
• An expert level in SQL is required, with proficiency in Python preferred.
• You should be skilled in dimensional and normalized data modeling and transformation using tools like dbt Cloud.
• A strong understanding of cloud-based data infrastructure, preferably AWS and Snowflake, is necessary.
• Experience with BI platforms like Metabase and Sigma Computing for data visualization/dashboard tools is required.
• You should have experience with data ingestion and ETL pipelines, such as Fivetran.
• Familiarity with event-driven architectures and real-time data streaming using tools like Confluent Kafka is important.
• Proficiency in version control with Git and collaborative development on GitHub or GitLab is required.

Benefits:

• The salary range for this position is $140,000 - $190,000 base salary, dependent on experience level and interview performance.
• You will receive equity in the form of incentive stock options, which are vested over 4 years.
• Additional benefits will be provided, although specific details are not listed.