Software/Data Engineer
Description
We’re building an analytics platform that isn’t just easy to use—it’s intuitive, and sets a new standard beyond what currently exists. Creating this, on the other hand, is anything but easy. It requires a deep understanding of data modeling and visualizations, how people are used to working with data, and to top it off you need to be able to execute and create the tools you envision. For this, we’re seeking a skilled developer with experience in languages such as Python and SQL, and platforms such as the Google Cloud Platform, Terraform and Snowflake. A plus would be experience with React and LLM agent development. Key Responsibilities: Software Engineering: Design, build, and maintain our internal tools for performing data analysis. Strong technical foundation in React, Python, SQL, and Google Cloud Platform Data Modeling: You understand what metadata is needed to maximize the impact of data products, and champion the value of semantic layers, ontologies, and data governance. AI and Analytics: As AI transforms how analytics is consumed, your job is to make it usable and trustworthy. You’ll bridge the gap between abstract concepts and practical implementation. Collaboration & Leadership: You’re a self-starter who identifies what needs to be done, communicates clearly, contributes to design discussions, conducts code reviews, and fosters a strong team spirit. Qualifications: Experience A Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field. At least 5 years of experience in software engineering, data engineering, or a closely related field, with a solid track record of delivering robust, production-ready solutions.