Senior Data Engineer
Rad AI- Full Time
- Senior (5 to 8 years)
Candidates should have strong knowledge of SQL, preferably with experience in Redshift, Snowflake, or BigQuery, and the ability to write efficient SQL queries. Familiarity with BI tools such as Looker, Mode, or Tableau is essential, along with a track record of shipping high-quality products and features at scale. The ideal candidate should be able to thrive in a fast-paced startup environment focused on solving problems with iterative technical solutions.
The Senior Analytics Engineer will be responsible for full stack analytics engineering development, including building models to consume, transform, and expose data to stakeholders and production systems. They will drive a culture of experimental design and best practices, contribute to the culture of Ramp’s data team, and collaborate with product, engineering, and design teams to develop product roadmaps and measure success. Additionally, they will work closely with data engineering teams to capture, move, store, and transform raw data into actionable insights.
Corporate card and spend management platform
Ramp provides a corporate card and spend management platform that helps businesses track expenses and save money. The platform allows finance teams to manage corporate cards, expense reports, and bill payments in one place, and it integrates with tools like Slack for added convenience. Ramp serves a wide range of clients, from large enterprises to creative agencies, and aims to reduce overall expenses through its comprehensive financial tools. Unlike competitors such as Amex and Brex, Ramp generates revenue through interchange fees on card transactions and subscription fees for advanced features. The company's goal is to streamline financial operations for businesses and help them achieve significant cost savings.