We are seeking a highly skilled and experienced Senior Analytics Engineer to join our team. This pivotal role sits at the intersection of data analysis and data engineering, leveraging software engineering best practices to deliver reliable, scalable, and easy-to-use data models and analytics solutions.
The ideal candidate will have a deep mastery of SQL and dbt for robust data transformation, coupled with significant hands-on experience across the Modern Data Stack. They should be comfortable touching any part of the stack that empowers analysis, from orchestrating dbt runs in Airflow and writing simple Python data processes, to building final visualizations in Sigma and partnering directly with the business. This role is instrumental in bridging the gap between raw data and business insights, ensuring high-quality data products and enabling advanced analysis across the company.
ResponsibilitiesOur Technology Stack
We process billions of events every day. Our data team relies heavily on Snowflake, dbt, and Fivetran for a modern ELT architecture. Our pipelines are orchestrated via Airflow, and our code and CI are managed in Gitlab. Sigma is ourchosen BI platform for empowering the business and our customers with data.
Our Vision as a Team
We are building an engineering team committed to delivering high-quality products and code. We believe in automation to ensure consistent quality, rapid development, and we take pride in our work. We prioritize minimizing unnecessary meetings and value a remote-first, collaborative culture. We rely on automated testing and continuous integration/delivery to build flexible applications.
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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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