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Build and maintain secure Databricks-based data pipelines and lakehouse systems for a government agency, integrating data and enabling AI/ML at enterprise scale.
Principal Data Scientist designs and delivers healthcare AI solutions using Azure ML and Databricks, translating clinical data into production-ready models while ensuring governance and responsible AI practices.
Regional Director of Sales (Senior Living) Discovery Management Group is looking for a Regional Director of Sales to join our team! Are you a strategic sales leader who thrives on driving results, building strong…
Senior Data Engineer builds and maintains the data foundation for clinical decision-making, integrating diverse data sources and enabling AI-driven insights across drug development at a global healthcare company.
Lead the build and governance of LEGO’s cloud data platform (Databricks on AWS), automate quality and access controls, and own the enterprise data model to keep analysts and AI teams productive.
Lead a team to build and maintain scalable data pipelines on Databricks and AWS, ensuring reliable ingestion, transformation, and delivery of high-quality data for analytics using Delta Lake, Unity Catalog, and AWS services.
Build and scale the data infrastructure for an AI-native CRM, evolving Postgres, Redis, and search systems to handle billions of queries and events while ensuring fast, reliable analytics for customers.
Lead a team of data engineers building and operating Dropbox’s core data pipelines and self-serve analytics platform using Spark, dbt, Airflow, and Databricks to ensure reliable, high-quality data for decision-making.
Lead a team to design and scale an AWS-based data platform, building pipelines, standards, and governance for analytics and future AI use cases.
Builds and optimizes distributed, real-time data services for a programmatic ad platform using Go, Kafka, and cloud databases like Redshift and Snowflake.
Design and build scalable data pipelines and models in Databricks and Azure to power analytics and AI for SOCOTEC’s digital platforms in the built-environment sector.
Senior Data Engineer building end-to-end pipelines for marketing attribution, customer cohorts, and AI-driven ad spend optimization at Kavak, a LatAm unicorn redefining used-car commerce with AI-first products.
Design and build Ripple’s Caspian Data Platform, a Databricks-based lakehouse that powers analytics, reporting, and AI-driven operations across the company.
Build and maintain scalable data pipelines and MLOps tooling to deploy, monitor, and version machine-learning models in AWS and GCP.
Build and maintain data pipelines, storage, and quality systems for a space-tech startup, integrating enterprise systems like ERP and CRM with cloud data platforms.
Build and maintain data pipelines to move data from legacy systems into Azure Lakehouse using Databricks, organizing Bronze, Silver, and Gold layers.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
Design and implement scalable Databricks Lakehouse solutions on AWS and Azure, leading data architecture, platform engineering, and performance optimization.
Lead a team to design and optimize Databricks-based lakehouse analytics, ETL/ELT pipelines, and predictive models for enterprise-scale data platforms.
Embeds with clients to design and implement Databricks Lakehouse platforms, troubleshooting and optimizing data pipelines end-to-end.
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