> Markdown version of [/jobs/ext/4246744-data-engineer](https://www.wearedevelopers.com/jobs/ext/4246744-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Cognition LLC - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Computer Programming, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Database Design, Python (Programming Language), SQL Databases, Technical Data Management Systems, Data Pipelines - **Published:** October 26, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-san-francisco-ca--8076849e-2b6a-4822-ad2f-390986c9177d ## About the Role Computer Programming, Artificial Intelligence (AI), Finance, Telemetry, Database Architecture, Systems Maintenance, Technical Recruiting, Database Administration, Data Modeling, Database Design, * 4+ years in a data engineering, data science, or full-stack data role * 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.) * Experience building or maintaining BI reporting (Metabase a plus) * Experience developing scalable backend heavy applications * Strong knowledge of statistics and experimentation * Based in SF or NYC ## Description We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company. There are multiple openings across various teams: GTM, Core Product, and Finance. In this role you will: * 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