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Staff Data Engineer: AI Platform & LLM Systems
CrowdStrike is hiring a Staff Data Engineer to design, build, and deploy Exabyte-scale data infrastructure powering its AI-driven security products, with a focus on LLM systems. The role is hands-on, leading and mentoring the team while driving MLOps, data modeling, and semantic cataloging for AI/ML workloads.
Staff Data Engineer
Staff Data Engineer on Root Insurance's Data Platform team, technically leading financial data operations (commissions payments, incentive programs) while building and scaling data pipelines and platform tooling. Core stack: Python, SQL, Redshift, Spark, Apache Iceberg, Airflow, dbt, Terraform on AWS. Remote anywhere in the US.
Staff Data Engineer
What is the opportunity? RBC Wealth Management (WM) Data & AI is responsible for driving data driven decision making end-to-end across our global businesses. We're modernizing our data architecture, building out BI and…

Staff Data Platform Engineer
Senior hands-on engineer owning the end-to-end AI data platform at a deepfake-detection cybersecurity company: scaling a Databricks lakehouse with Spark/Ray distributed processing on AWS, building reproducible ML datasets and in-house synthetic deepfake generation pipelines using Python, SQL, and Terraform. NYC HQ or remote (U.S.).
Data Engineer - Malta Relocation | Scale Distributed Pipelines
Design and build scalable batch and real-time data pipelines on a modern distributed, cloud-native stack. Relocation to Malta is required, with remote work from Malta; core skills are Python, SQL, Airflow/Temporal, Kubernetes, and cloud-native environments.
Staff Implementations Data Engineer (NV1, contract)
Staff-level data engineer joining a small Australian team inside a US tech company whose AI platform maps global supply chains. You build and customise client data pipelines hands-on with Python, SQL, Databricks, AWS and some Azure, while acting as the technical lead in client meetings; an active NV1 clearance is mandatory.
Staff Data Engineer – AWS & AI Data Platforms
Staff Data Engineer at Commonwealth Bank leading data platform initiatives across AWS Cloud, Gen AI, and Data Mesh, building secure, reliable data pipelines and data products that support decision-making for millions of customers. Hybrid role with about half the month in the Sydney or Melbourne office.
Staff Data Engineer
You are passionate to stay ahead of the latest AWS Cloud, Gen AI, Data Lake, and Data Mesh technologies. We are one of the largest and most advanced Data Engineering teams in the country. Together we can build…
Staff Data Engineer
Job Description You are passionate to stay ahead of the latest AWS Cloud, Gen AI, Data Lake, and Data Mesh technologies. We are one of the largest and most advanced Data Engineering teams in the country. Together we…
Staff Data Engineer: End-to-End Data Platform Ownership
Meeru AI Inc in Canada is seeking a Staff Data Engineer to own major data foundation subsystems—pipelines, connectors, and curated models that feed analytics and AI layers. You will implement robust, production-grade…
Staff Data Engineer - AI Infrastructure Architect
BAO is hiring a Staff/Principal Data Engineer to architect the data infrastructure behind its AI initiatives — a hands-on IC role owning technical direction for large data infrastructure areas, designing scalable ingestion and processing pipelines, and working across Data, Platform, Software and AI Engineering. Based in France.
Staff Data Engineer: AWS Data Platform & Pipelines
A senior individual-contributor role on Proofpoint's Data Platform team in Córdoba, Argentina: designing, building, and operating large-scale AWS data infrastructure for cybersecurity products and analytics, including ingestion, transformation, orchestration, data modeling, and governance, while mentoring junior engineers.
Staff Salesforce & Data Platform Engineer
Staff engineer at CVS Health bridging Salesforce CRM with Azure-based data platforms: designing Azure Databricks pipelines (PySpark, Delta Live Tables, Medallion architecture) and enterprise integrations with ADLS, Salesforce, and on-prem systems, while mentoring engineers and enforcing best practices.






