We are seeking a hands-on Data Engineer to design and build the foundational data infrastructure that will power a scalable, automated SaaS reporting system.
Requirements
Design and build the reporting data architecture, structuring BigQuery datasets, tables, and views for scalable, multi-account, and multi-venue analytics.
Build and manage ingestion pipelines from multiple disparate data sources, utilizing APIs, webhooks, scheduled syncs, ETL/ELT tools, or custom scripts.
Create clean SQL models to transform raw behavioral data and business metadata into reusable, reporting-ready tables.
Prepare foundational data models to power automated dashboards and client-facing analytics for various BI platforms like Looker Studio.
Establish comprehensive data quality assurance processes, validation checks, and actively monitor pipeline reliability.
Maintain clear, thorough documentation for schemas, data flows, transformations, reporting logic, and event taxonomies. Benefits
100% Remote Work
Highly Competitive USD Pay
Paid Time Off
Work with Autonomy
