Analytics Engineer • Senior

Who you are

You have deep experience in data modeling and BI development, with a strong background in building data infrastructure that supports decision-making across large user bases. Your expertise in tools like Snowflake and dbt enables you to architect scalable data marts that drive insights and analytics. You are comfortable working in a collaborative environment, partnering closely with engineering, product, and finance teams to ensure data reliability and governance.

You have hands-on experience with orchestration tools such as Airflow or Dagster, and you understand the importance of monitoring and alerting in data workflows. Your ability to establish data governance standards ensures that data is accurate, accessible, and well-documented, reducing the need for ad-hoc queries. You are also skilled in creating executive-facing dashboards using Sigma, enabling AI-powered self-serve analytics for stakeholders.

What you'll do

As a Senior Analytics Engineer at Scribe, you will design and build scalable analytics data marts in Snowflake using dbt, which will enable data science and insights across multiple business domains. You will maintain existing data pipelines and build new ETL and reverse ETL workflows to ensure reliable data movement across systems. Additionally, you will stand up and scale orchestration infrastructure using Dagster or Airflow, implementing monitoring and alerting via Metaplane to enhance data governance and monitoring.

You will also optimize dbt pipeline performance by implementing incremental models and improving materializations, applying engineering best practices to ensure efficiency and reliability. Your role will be pivotal in shaping the data foundation that supports Scribe's growth from 5M to 50M users, making your contributions critical to the company's success.

What we offer

At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We provide a home office stipend to support your work setup, whether you are remote or hybrid. Join us in building a data infrastructure that powers decision-making for our Fortune 500 customers and millions of users.