Data Engineer

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Description

About us Factori is a rapidly growing location and consumer intelligence company built for an AI-first world. Each day we ingest billions of privacy-compliant signals and maintain the world’s most comprehensive consumer, mobility and point-of-Interest database. Our AI-driven insights help Fortune 500 brands, global media agencies and technology innovators decide where to invest, build and grow. Headquartered in New York City with hubs across APAC, EMEA and the Americas, we operate with the ownership mindset of a startup and the global footprint of an enterprise data leader. About the Role: We’re looking for a Data Engineer with 3–6 years of experience to design, build, and operate large-scale data platforms. You’ll develop high-performance batch and streaming pipelines, optimize distributed data processing systems, and contribute to the infrastructure that powers our AI and analytics products. Key Responsibilities: Build and maintain scalable batch and streaming data pipelines using Apache Spark and distributed data technologies. Design, develop, and optimize ETL workflows with a focus on reliability, performance, and data quality. Develop efficient SQL queries, data models, and storage solutions across systems such as Bigquery, PostgreSQL, Elasticsearch, DuckDB, and cloud native data platforms. Build and maintain workflow orchestration using Airflow (or similar schedulers). Monitor, troubleshoot, and optimize production data pipelines to ensure reliability and p

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