Data Engineer

About Burq

Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.

We started with building the largest network of delivery networks, partnering with some of the biggest delivery companies. We then made it extremely easy for businesses to plug into our network and start offering delivery to their customers. Now, we’re powering deliveries for some of the fastest-growing companies from retailers to startups.

It’s a big mission and now we want you to join us to make it even bigger! 🚀

We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the U.S.

We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.

We want people who are unafraid to be wrong and support decisions with numbers and narrative. Here’s a quick overview of what you will be doing:

Some of the responsibilities

• Design, build, and maintain efficient and scalable data pipelines using tools like Airbyte, Airflow, and dbt, with a focus on integrating with Snowflake.
• Manage and optimize data warehousing solutions using Snowflake, ensuring data is organized, secure, and accessible for analysis.
• Develop and implement automations and workflows to streamline data processing and integration, ensuring seamless data flow across systems.
• Collaborate with cross-functional teams to set up and maintain data infrastructure that supports both engineering and analytical needs.
• Utilize Databricks and Spark for big data processing, ensuring data is processed, stored, and analyzed efficiently.
• Monitor data streams and processes using Kafka and Monte Cristo, ensuring data quality and integrity.
• Work closely with data analysts and other stakeholders to create, maintain, and optimize visualizations and reports using Tableau, ensuring data-driven decision-making.
• Ensure the security and compliance of data systems, implementing best practices and leveraging tools like Terraform for infrastructure management.
• Continuously evaluate and improve data processes, staying current with industry best practices and emerging technologies, with a strong emphasis on data analytics and visualization.