Builds and manages data pipelines using dbt, SQL, and Python to create scalable analytics infrastructure. Develops dashboards and self-serve tools for company-wide metrics, partnering with Engineering, Product, and GTM teams. Requires 5+ years experience.
275k – 370k
Hybrid5+ YOEData Engineering
About the role
Responsibilities
Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
Influence the future roadmap of Product and GTM teams from a data systems perspective
Become an expert in our organization’s data models and the company's data architecture
Requirements
5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics
Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub
Expertise in SQL and Python to transform data into accurate, clean data models
Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams
A bias for action and urgency, not letting perfect be the enemy of the effective
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end
Experience building an Analytics Data Engineering (or similar) function at start-ups
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress
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