Data Engineer

Role Overview: We are looking for a Data Engineer (3–5 years) to join Pronto’s Data Platform team. You will own and build end-to-end data pipelines that power: • real-time order assignment and ETA intelligence • marketplace health (supply, demand, utilization) • growth, retention, and experimentation This is a high-impact IC role with strong ownership and close collaboration with Product, Ops, Analytics, and Engineering teams. What You’ll Do Design, build, and operate scalable data pipelines (batch + near-real-time) handling large volumes of marketplace and event data Own data ingestion from multiple sources: app events, backend services, partner systems, payments, and ops tools Build reliable ETL / ELT workflows with clear SLAs, monitoring, and alerting Work closely with Product Managers and Analysts to model data for: order lifecycle & assignment logic partner performance & reliability customer behavior, retention, and funnels Identify and resolve data quality issues, inconsistencies, and pipeline failures proactively Design and maintain well-structured data models, documentation, and lineage Ensure data is trustworthy, discoverable, and easy to use across teams Continuously improve performance, cost efficiency, and scalability of the data stack What We’re Looking For 3–5 years of hands-on data engineering experience in high-scale consumer, marketplace, logistics, or fintech environments Strong proficiency in SQL and Python with experience building production-grade data pipelines Solid understanding of data modeling, warehousing, and analytics use cases Experience with cloud data infrastructure (AWS preferred) and tools like Airflow, Kafka/Kinesis, and modern warehouses Strong ownership mindset with focus on data correctness, reliability, and impact Comfortable working cross-functionally and explaining data clearly