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C-BRAIN Technical Product Manager
The C-BRAIN Technical Product Manager at Washington University in St. Louis manages technical product development for a healthcare and AI-focused initiative. This is a remote, full-time position based in the United States.
C-BRAIN Data Engineer
The C-BRAIN Data Engineer role at Washington University in St. Louis involves managing and processing data for research initiatives. This is a remote position based in the United States.
Data Platform Engineer: Cloud-Native Pipelines & IaC
Builds and maintains cloud-native data pipelines and infrastructure-as-code (IaC) solutions using Terraform, Python, Spark, dbt, Kafka, Airflow, and Snowflake to support data scientists, analysts, and engineers. Focuses on scalable, reliable data platforms with direct business impact.
Senior Data Engineer, AI/ML Platform
The Senior Data Engineer will design and maintain scalable data ingestion and AI-driven extraction pipelines using Python, Spark, and AWS. This role involves collaborating with data scientists to integrate LLMs and AI agents into production systems for retail and field operations data.
Software Engineer III - Global Servicing Technology
Builds and maintains cloud-native data pipelines and AI-driven servicing platforms for American Express, using Python, Spark, Kafka, and Google Cloud services to automate customer interactions and analytics.
Semi Senior / Senior Data Engineer (AWS, Python & SQL)
Build and optimize scalable data pipelines in AWS using Python, SQL, Spark, and Airflow to power analytics, ecommerce, and logistics systems.
Software Engineer II - Global Servicing Technology
Build and maintain scalable cloud-native data pipelines and AI-driven analytics for American Express’s global servicing platforms using Python, Spark, and GCP.
Senior Data Engineer
Designs and maintains production-grade ELT pipelines in Snowflake, leading data architecture, migration to dbt Cloud, and ensuring data reliability for analytics and reporting in a fast-growing SaaS company.
Senior Data Analyst (1 Year) #ESY
The Senior Data Analyst will define and maintain enterprise data models and semantic layers to support self-service analytics and AI/GenAI initiatives. The role involves collaborating with stakeholders to translate business requirements into scalable data structures using technologies like Snowflake.
Software Development Engineer II
Builds and maintains ML-driven bidding systems for Meta/SEM advertising at Expedia Group, focusing on data pipelines, model serving, and production-grade software for travel marketing.
Data Scientist (Pricing)
Build and deploy ML models for travel pricing, forecasting, and optimization, collaborating with engineers and analysts to drive revenue and cost improvements.
Reltio MDM - Manager
Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our…
Senior Data Engineer (m/w/d)
Designs and builds high-performance on-premises/edge data platforms with Kubernetes, streaming pipelines, and modern open-source tools like Iceberg/Spark, while automating deployments and collaborating cross-functionally to integrate new technologies.
Engineer - Data Engineering
The Data Engineer will design and develop scalable data pipelines and processing applications on Google Cloud Platform to support Sysco's global foodservice operations. The role involves working in an Agile environment to maintain data solutions using Python, SQL, and various ETL/ELT tools.
Аналитик данных
Сбербанк ищет аналитика данных для разработки BI-отчетности, формирования витрин данных и создания внутренних сервисов на Python. Роль предполагает работу в офисе в Екатеринбурге с использованием стека SQL, Python и Qlik Sense.
Senior Software Engineer (Pipeline team)
Senior AI/ML Engineer builds and scales a next-gen document intelligence system using RAG, LLMs, and applied math to process millions of legal/insurance documents monthly for US law firms. Focuses on production-grade pipelines, model evaluation, and MLOps for high-precision document understanding.