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Plaud is seeking a Senior Backend Engineer to build and maintain an AI evaluation and data governance platform. The role involves designing distributed systems, implementing secure data access patterns, and creating reusable platform components to support AI-native product development.
Designs, builds, and optimizes scalable data pipelines and analytics platforms using Snowflake, Azure, dbt, and Python to support enterprise-wide data initiatives and business decision-making.
The Data Engineer will design and maintain data pipelines, ETL processes, and data architectures to provide insights for engineering teams. The role involves working with SQL, Python, and various cloud-based data storage and visualization tools to support IoT infrastructure development.
Data Engineer on the IoT Infrastructure Software team at Silicon Labs in Budapest, analyzing complex datasets and building ETL pipelines, dashboards, and data solutions using SQL, Python, and AWS services.
The Data Engineer will build and maintain ETL/ELT pipelines to ingest high-volume network and customer data into an AWS-based data lake. The role focuses on data modeling, transformation using dbt, and ensuring data quality and reliability for analytics across the organization.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Mid-level Data Engineer building high-volume data processing pipelines using Redshift, Athena, Iceberg, Spark, and Airflow for Ookla's internet performance data platform.
Senior Data Engineer building high-volume data processing pipelines on Redshift, Athena, Iceberg, Spark, and Airflow to support data scientists analyzing global internet performance data.
Data analyst driving performance improvements across Amazon's EU inbound supply chain using advanced SQL against petabyte-scale warehouses, Python automation, and BI tools to identify and eliminate supply chain defects impacting customer delivery.
Build and ship data pipelines and platform capabilities for Amazon Ads' reporting data layer, processing 40B records/day on a Lakehouse architecture with Java, Python, TypeScript (AWS CDK), Spark, Iceberg, and AWS services.
Senior Data Engineer at Amazon designing and building large-scale AWS data products (Kinesis, Spark, EMR, Glue, Redshift) to measure, govern, and improve AI-driven seller interactions for millions of Amazon Selling Partners.
Develops and maintains data systems, ML-driven backend services, and scalable pipelines to transform nutrition data into actionable insights for Cronometer’s health/wellness app, working at the intersection of backend, data engineering, and AI.
Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 7+ years of relevant experience in data engineering roles with primary skills on…
The Senior Solution Architect will lead the design and governance of enterprise data and analytics solutions, focusing on cloud-based platforms, AI/ML integration, and secure data architecture. The role involves defining architecture blueprints and collaborating with stakeholders to modernize data infrastructure using AWS and Azure technologies.
Lead data analytics and visualization efforts at Warner Bros. Discovery, designing semantic layers and building full-stack data solutions from pipelines to dashboards using SQL, big data technologies, and BI tools.
SAIC is searching for a motivated, career and customer-oriented Sr. AWS Data Engineer who will lead the next phase of our healthcare data platform modernization. This role is central to our evolution from an MSSQL XML…
SAIC is seeking Cloud Engineer to support SAIC’s Prime Program, Aretuza in Chantilly, VA. Aretuza is a SETA program, supporting the NRO’s Ground Enterprise Directorate (GED). Job Duties to Include: Provide Acquisition…
FullStack developer (3-4 years exp) building transactional fintech services for a regional bank, using NodeJS/AWS Lambda and Java Quarkus/Azure for hybrid cloud integrations, adapter patterns, and high-throughput digital channels.
FullStack developer (4-6 years) building and maintaining BackOffice and digital channel services for a bank in Panama, using NodeJS, Java Quarkus, Angular, and hybrid cloud (AWS/Azure) with microservices architecture.
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