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Senior Data Engineer Consultant builds and maintains secure, scalable cloud data platforms and pipelines, focusing on data quality, governance, and AI-ready foundations for clients.
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Build and maintain Databricks-based data pipelines for Mizuho’s new Data Exchange and Abstraction Layer, using PySpark and SQL to ingest, transform, and validate financial data for enterprise reporting.
Builds robust data pipelines and transforms raw data into clean, reliable datasets in a cloud-based Lakehouse architecture using Python, Spark, and AWS services.
Lead a team to design and build scalable cloud data pipelines and platforms using Snowflake, AWS, and Airflow to power enterprise analytics and AI workloads.
Designs and builds secure, cloud-native data platforms for real-time and batch analytics, using Azure/AWS services, Kafka, Spark, and lakehouse patterns to support national security missions.
Build and operate cloud-native data platforms and AI-powered applications for Disney’s vacation brands, designing end-to-end data pipelines and machine-learning systems.
Lead a team to design, scale, and optimize a large data platform while keeping it AI/ML-ready; 60% hands-on architecture and 40% strategy and people management.
Build and maintain scalable Azure data pipelines and Lakehouse architectures to ingest, process, and model structured and unstructured data for analytics and mission-driven projects.
Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle's largest enterprise customers. This…
Principal engineer building Redfin’s next-gen data platform: a Snowflake/Iceberg lakehouse on AWS that unifies ingestion, governance, and AI-ready semantics for 60+ engineers and downstream ML systems.
Design and implement data pipelines, models, and integrations for large organizations using SQL, Python, and cloud platforms to automate and transform business processes.
Build and operate AI-powered data platforms and applications for Disney’s vacation brands, designing end-to-end data pipelines and cloud-native solutions using Python, Spark, and cloud services.
Senior backend engineer building scalable APIs, data pipelines, and cloud-native services in AWS for a healthcare-focused marketing technology platform.
Designs and deploys production-grade generative AI systems on Databricks for enterprise clients, focusing on RAG pipelines, LLM orchestration, and vector search while leading technical delivery.
Lead a team to build governed data products and AI-enabled workflows in Snowflake, Databricks, and dbt, translating business needs into analytical solutions and automations.
Designs and implements an Active Metadata ecosystem for P&G’s global Data Lakehouse, using Databricks Unity Catalog and AI-driven tools to automate governance, security, and data discoverability across the enterprise.
Design and lead the next-generation AdTech data platform using Databricks and BigQuery, ensuring scalable, cost-efficient pipelines and mentoring global engineering teams.
Build and maintain real-time data pipelines and analytics tools for a proprietary trading firm’s options market-making strategies using Python, SQL, and modern data engineering practices.
Design and deploy scalable Data & AI platforms for enterprise clients, integrating cloud and on-prem solutions while leading teams of engineers and advising on tech stacks.
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