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Lead the design and implementation of a modern cloud-native data and AI platform for a large healthcare provider, integrating real-time IoT, generative AI, and self-service analytics to transform patient care and operational efficiency.
Design and build data pipelines and maintain an Enterprise Data Warehouse for an insurance company using Snowflake, DBT, AWS, and SQL.
Senior Data Engineer builds and maintains enterprise-scale data pipelines, warehouses, and lakes for a government digital transformation program, using SQL, Python, and cloud/on-prem platforms.
Build and maintain scalable data pipelines and warehouses for a financial org using SSIS, WhereScape, and Microsoft BI stack.
Build and maintain secure, production-ready data pipelines and integrations to expand data usage across the organization.
Build and maintain ETL/ELT pipelines that feed Shopify, ERP, CRM and logistics data into a BI environment, ensuring reliable reporting and analytics for an ecommerce business.
Builds and maintains reliable, scalable data pipelines and warehouses to feed analytics and AI teams, using ETL/ELT, cloud platforms, and SQL/Python.
Senior Data Engineer designs and builds scalable data pipelines, ETL workflows, and data lakehouse solutions using PySpark, Databricks, and Azure/AWS tools to deliver business insights for Toyota’s mobility operations.
Build and maintain production-grade data pipelines, integrations, and AI-enabled analytics for a modern estate-planning platform.
Build and maintain scalable data pipelines and warehousing solutions in Azure to support Kinetic’s sustainable transport business with trusted, high-quality data.
Design and maintain scalable data pipelines and Lakehouse/Warehouse solutions using Microsoft Fabric to modernize SCC’s analytics platform and integrate clinical, finance, and operational data for trusted insights.
Build and maintain production-grade data pipelines, models, and integrations for analytics, AI tools, and embedded products at a modern estate-planning fintech.
Lead a team of data engineers to design, build, and optimize data pipelines and warehouses using Python, SQL, and cloud platforms like AWS/Azure.
Build and maintain data pipelines and cloud integrations for a national homebuilder, using Boomi, SSIS, Snowflake and Microsoft Fabric to deliver reliable analytics.
Build and maintain data pipelines and customer datasets to consolidate legacy systems into a unified profile platform, enabling AI-driven personalization at a property-tech company.
Design and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to enable analytics and AI-driven insights for enterprise clients.
Senior Data Engineer building scalable cloud data pipelines and platforms to support AI, analytics, and enterprise decision-making using Python, PySpark, and Azure technologies.
Build and maintain GCP-based data platforms using BigQuery, Airflow, and Python to deliver scalable ETL pipelines and warehouse solutions for reliable data delivery.
Design and build scalable AWS-based data pipelines and ETL/ELT processes using Snowflake and Kafka to support enterprise analytics and reporting.
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