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Build and maintain scalable ETL/ELT pipelines and data platforms using Airflow, Snowflake, BigQuery, and PostgreSQL to process weather and B2B datasets.
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Designs and maintains cloud-based data pipelines, ETL/ELT processes, and governance frameworks using GCP/AWS/Azure, SQL, Python, and Collibra to ensure secure, scalable, and well-documented data assets.
Build and maintain scalable ETL/ELT pipelines and cloud data platforms to turn raw weather and environmental data into reliable, decision-ready datasets for B2B products using Python, SQL, Apache Beam, Snowflake, and BigQuery.
Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for Serve Robotics' autonomous delivery robots, enabling data-driven decisions across operations and product.
Build and own user-facing AI fraud-prevention interfaces in React/TypeScript, set frontend standards, mentor engineers, and use AI tools to ship features quickly.
Build and maintain Java-based banking applications using Spring Boot, integrate systems via REST/SOAP, and ensure code quality with unit/integration tests.
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
Build and maintain petabyte-scale storage infrastructure for AI training workloads, optimizing data pipelines and distributed systems for performance.
Builds backend services for a global e-commerce platform using Java/Kotlin and Spring, integrating AI agents and modern data stores to streamline product search and pricing.
Build and ship ML systems that autonomously optimize retail-media ad spend for thousands of brands in real time using Python, GCP, and reinforcement learning.
Build and ship ML systems that autonomously set ad bids and allocate budgets for retail-media advertisers in real time, using Python, GCP, and emerging LLM-based reasoning layers.
Senior Data Scientist builds and leads AI/ML models and analyses to solve complex business problems using Python, Databricks, and LLM workflows, translating data insights into actionable strategies.
Builds and maintains scalable ETL pipelines and data warehouses to power analytics for EA’s user-generated content platform, using Python, SQL, Airflow, and cloud platforms.
Build and optimize petabyte-scale data infrastructure for AI training, using Python, Kubernetes, and distributed systems to ensure data integrity and performance.
Build and maintain scalable ETL/ELT pipelines and data warehouses to track USDC movement across blockchains, enabling analytics on holdings, use cases, and growth opportunities.
Build and maintain ELT pipelines and data models for a cloud platform serving tours & attractions, using SQL, Python, and cloud data tools.
Design and maintain scalable ETL pipelines on GCP using Spark Serverless, Spark on GKE, and Python, with BigQuery, CloudSQL, and Pub/Sub for data processing and governance.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands like NFL and Lululemon.
Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for a robotics-based delivery startup, ensuring reliable, governed data products for cross-functional decision-making.
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