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Staff Data Engineer at an applied AI engineering consultancy, designing and building enterprise data platforms (lakes, warehouses, pipelines) on AWS with a focus on real-time processing and AI/ML data flows.
Design and deliver cloud, data, and AI/ML systems as a Senior Cloud Architect, building microservices, serverless and containerized workloads, implementing IaC and CI/CD pipelines, and shaping data and model deployment architectures using Python and modern AI tools.
Lead a team of backend engineers in Bangkok to design, build, and maintain scalable travel booking systems using Scala, Go, Kafka, and Aerospike, with relocation support provided.
Staff Software Engineer role building backend systems and data pipelines for Agoda's growing Fintech division, handling financial reconciliation, payment optimization, and millisecond-level tax calculations. Requires 8+ years with Java/Kotlin/Scala/C#, strong proficiency in Spark and big data technologies, and a metrics-driven approach to financial systems.
About Kagool We are a fast-growing IT consultancy specialising in the transformation of complex Global enterprises. We are looking for passionate and hardworking individuals that to help deliver for our global customer…
This is a remote position. Position Summary Allied Steel Buildings designs and manufactures pre-engineered steel buildings for customers worldwide. Behind our online building configurator sits the Allied Master…
Senior AI Engineer in Metropolis' Applied AI team, working as an internal forward-deployed engineer who turns business processes (Go-To-Market, Finance, Operations) into AI-first workflows. Day to day: building LLM systems (prompts, agents, RAG), data pipelines into Snowflake, and owning production reliability — onsite in Los Angeles 4 days a week.
Build and maintain scalable data pipelines and ETL workflows to ensure Gusto's data is consistent and reliable, using SQL, Python/Scala/Java, and cloud platforms like Snowflake or Databricks.
Job Description Make an impact as a technical leader across two collaborative, supportive squads! Work for a leading property brand impacting millions of users with huge volumes of data! Permanent full time role based…
Designs and builds scalable data infrastructure in AWS using Spark with Scala to power adtech performance marketing, collaborating with cross-functional teams to optimize pipelines and storage for growth.
Senior Data Scientist at Pinterest builds and optimizes CTV ad performance tools using Python, statistics, and ML to automate and measure TV advertising campaigns.
Leads the architecture and technical direction of Pinterest's ads measurement platform, building scalable data pipelines and ensuring reliability for lift studies that help advertisers assess campaign impact.
Designs and builds Pinterest’s exabyte-scale big data storage platform using Apache Iceberg and other open-source systems, leading technical initiatives and collaborating with data, ML/AI, and infrastructure teams.
Leads the design and maintenance of a scalable identity resolution and data governance platform for a CTV advertising platform, using Spark/Scala and AWS to ensure privacy-safe, auditable data pipelines.
Build and scale Pinterest’s performance marketing systems—attribution, bidding, budget optimization, and campaign management—using Python/Java/Scala and SQL to turn ad spend into measurable user growth.
Designs and builds large-scale observability infrastructure (metrics, logs, traces) for Pinterest’s distributed systems, mentors engineers, and sets standards to improve system reliability and developer productivity.
Lead the strategy and build data infrastructure for Pinterest's big data and AI applications at exabyte scale, using open-source technologies like Flink, Spark, and Kubernetes.
Principal engineer leading the strategy and build-out of Pinterest's big data platform, scaling compute engines, job/resource management, scheduling and remote shuffling for petabyte-to-exabyte-scale datasets powering big data and AI applications. Core technologies include Flink, Spark, Kubernetes, Presto, Ray and AWS.
Desde Cas Training estamos en búsqueda de un perfil DATA ENGINEER ANALYST con experiencia en Market Risk para trabajar en uno de nuestros clientes en modalidad 100% remoto. Funciones: Participación en las tareas del…
Senior Data Scientist builds and deploys NLP and machine learning models to extract, classify, and analyze large-scale legal, news, and business data for internal products.
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