Cognition
Data Engineer
San Francisco
Sponsorship not specifiedDetected 239 days ago
PythonFull-Stack DevelopmentSQLAirflowdbtData EngineeringData ScienceStatisticsA/B TestingMetabase
About the role
- There are multiple openings across various teams: GTM, Core Product, and Finance.
- 4+ years in a data engineering, data science, or full-stack data role
Responsibilities
- 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
- Experience developing scalable backend heavy applications
Requirements
- Expert on SQL and Python (required)
- Experience with data modeling, warehouse architecture, and BI-oriented schema design
- Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
- Strong knowledge of statistics and experimentation
Skills
- Design and manage database architecture and data models
Company info
- WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS.
Equal opportunity
- Cognition is an equal opportunity employer.
- We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
- We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
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This listing is sourced directly from Cognition's careers page and normalized into a canonical job model.