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CognitionCognitionSan Francisco, CA

Analytics Engineer

Owns full data stack including database architecture, ETL/ELT pipelines, integrations, and product/GTM reporting. Requires 4+ years experience, expert SQL/Python, ETL tools, data modeling, and statistics. Based in SF or NYC.

Salary not listed
On-site4+ YOEData Engineering

About the role

Responsibilities

  • Design and manage database architecture and data models
  • Build and maintain ETL/ELT pipelines and orchestration workflows
  • Create and manage new data integrations across internal and external systems
  • Own business reporting: datasets, dashboards, metrics, and self-serve analytics
  • Ensure data quality, observability, governance, and documentation

Requirements

  • 4+ years in a data engineering, data science, or full-stack data role
  • Expert SQL and strong Python (or R)
  • Experience with data modeling, warehouse architecture, and BI-oriented schema design
  • Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
  • Experience building or maintaining BI reporting (Metabase a plus)
  • Strong knowledge of statistics and experimentation
  • Based in SF or NYC

Skills

SQLPythonETLELTdbtAirflowDagsterData ModelingBi ReportingMetabaseStatisticsExperimentation
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