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Job Title: Cloud Pipeline Data Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: None Type of Travel: None * * *…
We are seeking a talented and experienced Data Engineer to join our innovative and collaborative Database and AI Team. In this role, you will play a key part in shaping our data strategy and driving business success.…
Builds and maintains scalable data pipelines and analytics systems for a healthcare platform that integrates with EHRs like Epic and Cerner, using Python, SQL, AWS, and Kubernetes.
Build and maintain a petabyte-scale data ingestion platform for CrowdStrike’s AI-native cybersecurity SIEM, using Go and Python to connect 100+ data sources across AWS, Azure and GCP.
Build and maintain scalable data pipelines, storage, and tooling for real-time and batch workloads using Kafka, Spark, and Snowflake, while automating operations with AI agents.
Build and deploy ML models to power Workday’s AI-driven consumption pricing platform, analyzing usage data and informing product decisions.
Senior Software Engineer building and scaling cloud identity protection systems that process millions of identity entities daily using Go, Kafka, and distributed data pipelines.
Designs and maintains AI-powered data pipelines and retrieval systems on AWS, focusing on vector stores, RAG architectures, and agentic workflows for secure applications.
Designs and maintains AI systems for a game studio, focusing on RAG platforms, AI-driven game content, and agent frameworks to enhance player immersion and game logic.
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our…
Senior Data Engineer builds and maintains large-scale data platforms and pipelines for a global bank, using Spark, Kafka, Iceberg, and cloud-native tools to deliver trusted, AI-ready data assets.
Designs and maintains cloud-based data pipelines and ETL workflows in AWS GovCloud and Databricks, using Informatica and SQL to move and transform large datasets for a defense contractor.
Lead the design and deployment of scalable GenAI and Agentic AI systems, focusing on LLMOps, MLOps, and cloud-native infrastructure for enterprise-grade applications.
Design and lead Aperam’s enterprise-wide AI transformation, architecting scalable ML solutions across cloud and on-premise while aligning business needs with technical execution.
Senior Data Engineer building and optimizing AWS and Databricks pipelines for JPMorgan Chase, focusing on scalable ETL, Spark/Databricks workflows, and cloud cost governance.
Owns the product roadmap for equity index calculation and data workflows, translating business needs into technical requirements and backlog items for a core financial-index platform.
Lead the design and implementation of Salesforce Data Cloud and Marketing Cloud Personalization solutions, building unified customer profiles and real-time personalization strategies for digital marketing campaigns.
Build and optimize cloud infrastructure for AI agents that ingest and vectorize large datasets, focusing on cost efficiency and millisecond response times.
Builds scalable Microsoft Fabric and Power BI data products: semantic models, DAX measures, and Python/SQL pipelines, focusing on reusable, performant analytics solutions for financial services.
Build and maintain AWS-based data pipelines, warehouses, and lakes using Glue, Athena, Lambda, Snowflake, and Airflow to process and analyze financial data securely at scale.
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