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