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Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very…
Senior Software Engineer at Cato Networks building cloud-based enterprise network and security platforms, focusing on scalable backend systems and data pipelines for security analytics.
The Senior Data Engineer will lead the design and implementation of a real-time event-streaming platform using Kafka, Flink, and ClickHouse. The role involves managing end-to-end data pipelines and establishing observability and quality standards for analytics-ready datasets in BigQuery.
The Senior AWS Data Platform Engineer will design and implement scalable, cloud-native data pipelines using AWS services, Kafka, and Apache Flink. This role involves providing technical leadership to build robust batch and real-time data processing solutions.
The Lead Data Engineer will build and scale a real-time event-streaming platform using Kafka, Flink, and ClickHouse while managing end-to-end data pipelines with BigQuery, dbt, and Python. The role involves setting technical direction, mentoring engineers, and ensuring high standards for data quality and observability.
This Senior Data Engineer role involves architecting and developing scalable, cloud-native data platforms on AWS using Python, SQL, and distributed processing tools. The position focuses on building robust data pipelines, implementing data governance, and providing technical leadership within an engineering team.
Designs and maintains large-scale data pipelines and warehouses for DoorDash’s logistics platform in São Paulo, using Python, SQL, Spark, and cloud tools like AWS/GCP.
Builds and scales data pipelines, warehouses, and analytics systems for DoorDash’s logistics platform in São Paulo, using Python, SQL, Spark, and cloud tools.
Build and scale large-scale data pipelines and warehouses for analytics, reporting, and financial systems using Python/Java, Spark, Airflow, and Snowflake.
Lead the architecture and scaling of DoorDash’s data infrastructure, building reliable pipelines, ETLs, and data models to support analytics, reporting, and business decisions.
The Staff Machine Learning Engineer will design, deploy, and maintain production-grade ML systems to optimize revenue management and pricing strategies for the hospitality industry. The role focuses on MLOps, building scalable data pipelines, and ensuring the reliability of AI-driven features using technologies like Python, AWS, and Apache Airflow.
The Staff Software Engineer will lead the design and architecture of a scalable, modular data platform to ingest and process clinical data from various health systems. This role involves driving cross-team technical strategy, mentoring engineers, and utilizing technologies like Spark, Flink, and cloud infrastructure to support downstream AI and analytics.
Designs, tunes, and fixes multi-tiered systems to ensure high performance, stability, and availability for Apple’s global services like App Store, Apple Music, and Apple TV, using Java, Spark/Flink, AWS, Kubernetes, and bare-metal infrastructure.
Senior Data Engineer at The New York Times builds real-time data pipelines and APIs to process events and serve aggregated data for customer-facing use cases using streaming technologies and cloud-native architectures.
Kertos is the fastest-growing compliance startup in Europe. Following our €14M Series A , backed by leading VCs and business angels, we are building the compliance engine for Europe – faster, smarter, and more…
The Data Engineer will build and maintain large-scale data pipelines and lakehouse architectures to process billions of daily events for an AI-powered productivity platform. The role involves designing ETL frameworks, ensuring data quality, and collaborating with cross-functional teams to support data-driven product features.
At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions. Our team and culture make us unique — we’re driven by impact and growth, where every one of us strives…
Lead the architecture and evolution of DigitalOcean's audit logging, SIEM integration, and unified security visibility platform — designing high-throughput data pipelines in Go that process billions of security events daily, enabling real-time threat detection, incident investigation, and compliance reporting across their global cloud infrastructure.
Build real-time security detection engines using Apache Flink and Kafka, develop security APIs with Go and Node.js, and architect security solutions on Kubernetes to protect DigitalOcean's cloud platform.
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