Data Engineer

Scale's customers process millions of tasks through our APIs, and we're looking for a talented Analytics Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems. You will: Work with analytics, infrastructure, finance, and other business partners to drive the development of reporting and analytics platform Establish business intelligence best practices, and build pipelines that provide single-source-of-truth foundational accuracy Partner with operations and sales teams to automate manual workflows Continually improve ongoing data pipelines and simplify self-service support for business stakeholders Perform regular system audits to ensure complete and accurate reporting of data/metrics Design and build visualization dashboards to accelerate information-to-action at scale Ideally you'd have: 5 years of relevant work experience in a role requiring application of data modeling and analytic skills A clear passion for learning new BI skills and techniques independently and continuously Experience with ETL tools and building / maintaining a data warehouse Experience in designing and building data infrastructure/automated reporting tools (Tableau) Ability to create extensible and scalable data schema that lay the foundation for downstream analysis Advanced data analysis knowledge and experience, with strong SQL, and data mining skills Advanced knowledge and hands-on experience leveraging Python, and/or R to perform in-depth data analysis Fluent in written and spoken English Nice to haves: Experience in using highly scalable data engineering technologies such as AWS, Airflow, Dagster, DBT Experience in best practices in table partitioning/data sharding strategies and query optimizationAbout Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products.