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Builds and deploys data science models and tooling to drive strategic decisions and improve Databricks' internal data infrastructure using Python, SQL, and Spark at massive scale.
Designs and deploys ML models to detect fraud and abuse on Databricks’ data and AI platform, while collaborating with security and engineering teams to enforce compliance and protect customer data.
Designs, builds, and maintains scalable backend services for a large-scale data and AI platform, using Java/Scala, cloud technologies, and distributed systems.
Design and build AI-powered systems to help Databricks customers resolve technical issues faster using LLMs and retrieval systems, operating at the intersection of product development and machine learning.
Leads the technical vision for Databricks' search ranking, relevance, and evaluation systems, blending keyword, vector, and hybrid retrieval to improve enterprise AI applications.
Secure AI-powered software and cloud systems for a nuclear-energy startup by reviewing code, threat modeling, and hardening CI/CD pipelines to protect mission-critical infrastructure.
The Nuclear Company is the fastest growing AI tech-enabled startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once,…
Lead a data engineering team building and scaling security data pipelines for RBC Global Security, transforming raw security data into actionable intelligence via PySpark, Databricks, and cloud-native tools.
Senior Data Engineer at RBC Global Security builds and scales data pipelines to transform security data into actionable intelligence, leading a team of engineers while designing cloud-native architectures with PySpark, Databricks, and Terraform.
Develops and maintains enterprise-grade .NET full-stack applications and data solutions, combining C#, ASP.NET Core, and modern front-end frameworks with Azure Databricks, Python, and SQL for scalable, high-performance systems handling millions of records daily.
Develops and maintains enterprise-grade .NET full-stack applications and data solutions, combining backend (C#, ASP.NET Core APIs) and frontend (React/TypeScript) with Azure-based data engineering (Databricks, ADF, Airflow) to build scalable systems processing millions of records daily.
Designs and builds scalable data pipelines using Microsoft Fabric and Azure Databricks, focusing on API-driven ingestion, cross-platform data integration, and Power BI analytics with Direct Lake.
Reporting to Data and Analytics Lead, the successful candidate will be responsible for the following: Data Management & Transformation Designing and developing new data pipelines and managing existing data…
Designs and maintains large-scale data pipelines using Databricks, PySpark, and Azure Data Factory to modernize enterprise data infrastructure, ensuring governance, security, and performance for analytics.
Senior Data Engineer designs and maintains scalable data pipelines in Azure using Databricks, Unity Catalog, and ADF, collaborating with architects and stakeholders to deliver secure, governed data platforms and cloud analytics, building Delta Lake architectures and implementing CI/CD for data products.
Designs and implements scalable data architectures using Databricks (Delta Lake, Unity Catalog) to solve complex data challenges for clients in healthcare, finance, and government. Leads technical teams, mentors engineers, and drives cloud-native data solutions with Python/Java and modern data workflows.
Designs and leads scalable data platforms using Databricks and Lakehouse architecture, mentors teams, and delivers analytics solutions for enterprise clients in ANZ.
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