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Senior Data Engineer at Circle designs, builds, and optimizes ETL/ELT pipelines for blockchain data, ensuring high-performance data warehouses and governance compliance.
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 ETL/ELT pipelines using AWS and Snowflake to support analytics and governance in a wealth-tech environment.
Build and optimize data pipelines using Snowflake, Databricks, Python, and SQL to deliver scalable analytics solutions for financial clients.
Lead cloud data engineering projects using Google Cloud and PySpark to build scalable data pipelines and analytics solutions for clients.
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.
Leads data engineering for a game-commerce platform, building reliable pipelines between Snowflake, Postgres, Kafka, and API Gateway to power analytics and ML while enforcing data governance across the org.
Build and maintain ELT pipelines and data models for a cloud platform serving tours & attractions, using SQL, Python, and cloud data tools.
Principal Data Engineer designs and maintains self-hosted data infrastructure, optimizes PostgreSQL/MongoDB systems, and builds scalable ETL pipelines for a game developer.
Builds full-stack web apps, automates workflows, and designs data pipelines for a public-health research center using Python, SQL Server, Power Platform, and AI tools.
Senior Data Engineer builds and maintains Databricks pipelines for an AI-driven CRM platform, optimizing data flows, costs, and reliability to power global revenue intelligence from ERP/CRM sources.
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.
Designs and builds scalable data pipelines and lakehouse architectures on Azure/Databricks to power analytics and ML, using ELT/ETL, star/snowflake schemas, and streaming/event-driven patterns.
Build and maintain Azure-based data pipelines, warehouses, and analytics solutions using Data Factory, Power BI, and GenAI to deliver real-time insights for enterprise clients.
Lead a data engineering and analytics team to build scalable pipelines, warehouses, and KPI frameworks that turn raw data into trusted business insights for a fintech startup.
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.
Build and maintain data pipelines that feed AI agents in a proptech startup, using Python, SQL, and cloud tools to clean and organize data for models and insights.
Lead the design and delivery of enterprise-grade data and modeling solutions for Finance, building scalable pipelines, forecasting engines, and semantic layers on cloud data platforms to support FP&A, regulatory reporting, and analytics.
Designs and builds scalable Snowflake-based data pipelines and warehouses using dbt, SQL, and AWS, ensuring high-performance analytics for clients.
Lead a small team to build and maintain data pipelines, integrate marketing platforms, and translate data into actionable insights for Zenni’s ecommerce growth.
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