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Builds and maintains distributed data systems and cloud-native pipelines for TVision's AI-powered audience measurement platform, processing billions of seconds of viewing data into actionable insights for CTV and advertising technology.
Design, build, and maintain data pipelines and AI infrastructure for a proptech company focused on housing decisions using Python, SQL, and GCP.
Design and build scalable data pipelines and AI infrastructure on GCP to power real estate analytics, using Python, SQL, and modern data tools.
Bij de Joint Data Exploitatie Unit (JDEU) van de AIVD en de MIVD werk je als data engineer aan schaalbare ETL-pijplijnen en databewerking. Je zet ruwe data om naar bruikbare informatie voor inlichtingenprocessen met…
De JDEU van de AIVD en de MIVD zoekt een leergierige Data Engineer / Software Engineer die grootschalige datasets kan modelleren en verwerken. Je ontwikkelt schaalbare ETL-pipelines en gebruikt Java, Spark, Flink,…
Dit ga je doen Pas jij jouw ervaring als data engineer of software engineer graag toe op het modelleren en het op grote schaal verwerken van data sets? Dan is deze vacature wellicht iets voor jou! Wat ga je doen? Bij…
Op deze pagina: Dit ga je doen Dit krijg je Dit bieden we nog meer Dit vragen wij Hier kom je te werken Bijzonderheden Over de functiegroep Stel gerust je vraag Dit ga je doen Pas jij jouw ervaring als data engineer of…
SMARTVÉLO ist ein stark wachsendes Unternehmen für nachhaltige E-Mobilitäts-Lösungen. Wir entwickeln E-Bikes, die den urbanen Alltag revolutionieren, und setzen auf höchste Qualität sowie exzellenten Service. Werde…
Principal Software Engineer designs and evolves Workato's enterprise-grade platform architecture using Go and Rust, focusing on scalability, security, and reliability for real-time data orchestration.
About the role: The Data Platform group builds and operates the foundational data systems that power Modular’s business, from product telemetry to GTM analytics to cross-functional insights used by Engineering,…
Build and operate real-time data processing pipelines and event-driven systems for network monitoring, using Java, Python, Apache Flink, Kafka, and Dagster on Kubernetes in NYC.
Design and build large-scale distributed data systems and platforms using Apache Spark, Kafka, and Flink, with Python as the primary language and Kubernetes/Docker/Terraform for infrastructure.
About the role We are hiring a staff software engineer (IC4) for the Telemetry Data Platform team, which carries product usage telemetry for the entire ServiceNow platform on a stack built with Kubernetes, Kafka, and…
Design and develop high-performance, scalable Java/Spring applications, mentor engineers, and drive CI/CD processes in an agile team.
You will build and maintain Kubernetes capabilities for stateful data workloads including Flink Kafka and distributed databases. You will create CI/CD and GitOps workflows improve observability and reliability automate…
Key Responsibilities Design, build, and maintain scalable, reliable data pipelines (batch and streaming). Develop and optimise data models, warehouses, and lakehouse architectures. Build and automate CI/CD pipelines…
This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of…
Booking Holdings (NASDAQ: BKNG) is the world leader in online travel and related services, provided to customers and partners in over 220 countries and territories through six primary consumer-facing brands - , KAYAK,…
The Applied AI Engineer will design, build, and deploy AI-powered products and intelligent agents to automate finance workflows at Moss. The role involves working with frontier language models, RAG, and orchestration frameworks to deliver production-ready, customer-facing AI solutions.
Staff Software Engineer designs and builds AI agent governance capabilities, scalable data pipelines, and identity governance features using cloud platforms and frameworks like Spark, BigQuery, and MCP.
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