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Backend Engineer, Core Technology
Backend Engineer at Stripe building and maintaining core infrastructure systems like Compute, Networking, and Distributed Caching to support payment processing at scale.
Senior Data Engineer - Real time analytics
the company is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer…
Senior Software Engineer, Data Platform
Build and scale Apache Pinot’s distributed data platform, designing low-latency OLAP systems and fault-tolerant services for real-time analytics at massive scale.
Data Infrastructure Engineer [Talents Bench]
About Metal Toad Metal Toad is an Advanced AWS Consulting Partner that empowers organizations to innovate through artificial intelligence, cloud migration, cost optimization, and application modernization. We help our…
Senior Data Engineer
Build cloud-native data platforms and MLOps workflows, designing ETL/ELT pipelines, data lakes/warehouses, and feature stores for AI/ML and analytics.
Senior GCP Data Engineer (Immediate Joiner)
Build and maintain scalable GCP data pipelines, BigQuery warehouses, and dbt models for analytics; optimize costs and performance while ensuring data quality.
Senior Software Engineer
Build scalable backend services and data platforms for retail-tech, using TypeScript, PostgreSQL, and event-driven architectures to power physical-store digitalization.
Staff Software Engineer
Build a new civic-engagement data-visualization product from pilot to GA, designing secure backend services, interactive maps, and responsive UIs while raising engineering standards across the org.
Applied AI & Data Engineer - Business & Education
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Senior Data Engineer - Real time analytics
Build and optimize a low-latency streaming analytics platform in Scala/Python/SQL, powering real-time insights for 22,000+ customers using AWS, Apache Flink, Kafka, and Redshift.
Senior Data Engineer, Metrics Platform
Build and operate Grab’s central metrics platform, designing APIs, ingestion pipelines, and serving layers (e.g., Apache Pinot) to deliver trusted, reusable business metrics for analytics and AI workflows.
Data Engineer
Design and maintain scalable data pipelines for streaming and batch processing using Apache Pinot, Iceberg, Flink, and Spark to power Webex analytics.
sr. Data Engineer
Lead the design and implementation of high-scale data architectures for Cisco's Partner Hub analytics ecosystem using Apache Pinot, Iceberg, Flink, and Spark.
Senior GCP Data Engineer (Immediate Joiner)
Design and maintain scalable GCP data pipelines, BigQuery warehouses, and dbt models for analytics infrastructure, ensuring performance and data quality.
Software Engineer II
Build and scale Uber’s data infrastructure and storage systems, designing high-throughput distributed services using Go, Kubernetes, Kafka, Spark, and OLAP engines.
Software Engineer II
About the role and team Engineering at Uber means building for real-world impact under real-world constraints. As a Software Engineer II on our Data and Storage teams, you will architect the foundational infrastructure…
Staff Cloud Backend Engineer (Database)
Design and optimize high-performance SQL and NoSQL databases, including time-series and OLAP/OLTP systems, for a company building AI-enabled software-defined vehicles.
Senior Data Engineer: Real-Time Analytics Platform
Build and optimize a low-latency streaming analytics platform in Scala/Python/SQL, powering real-time insights for 22,000+ customers using AWS Kinesis, Kafka, Flink, Pinot, and Redshift.
Senior Data Engineer, Real-Time Analytics
Build and optimize Aircall’s real-time analytics pipeline using Scala/Python/SQL, Kafka, and AWS services to deliver low-latency insights for 22,000+ customers.
Senior Data Engineer - Real time analytics
Build and optimize a low-latency streaming analytics platform using Scala/Python/SQL to deliver real-time insights for 22,000+ customers, leveraging AWS, Kafka, Flink, and Redshift.