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Lead Data Engineer builds and optimizes scalable data pipelines, AI/ML solutions, and cloud-native architectures to unify ASCO’s enterprise data for AI, analytics, and operations, ensuring high performance, cost efficiency, and operational reliability.
Builds and maintains real-time financial market data pipelines, ensuring accuracy, low-latency distribution, and integration with exchanges/vendors. Core tech: FIX/TREP protocols, cloud (AWS/GCP), scripting (Python/Bash), and network optimization.
Designs and oversees scalable data pipelines, pipelines, and integrations for enterprise planning, leveraging SQL, Python, PySpark, and cloud/data tools to optimize data flows and ensure high-performance data processing.
Lead a team to build end-to-end analytics solutions using Microsoft Fabric and Power BI, from data ingestion to user-facing reports and governance.
Builds and maintains cloud platform infrastructure, API connectors, and data pipelines for enterprise clients, ensuring secure, scalable operations and cross-team collaboration.
Designs, builds, and maintains scalable data platforms and production-grade data systems, owning end-to-end pipelines and architectures for operational, analytical, and AI-driven use cases.
Design and optimize IT systems for global facilities maintenance and EH&S, integrating cloud platforms, AI/ML, and data pipelines to streamline operations and reporting.
As a Principal Product Manager-Technical on the Customer Success (CS) Intelligence team within the AWS Customer Success Center of Excellence, you will own the product lifecycle for products and tooling that help AWS…
This role is a senior engineering position within Deutsche Bank's eDiscovery and Archiving Technology group, responsible for designing and operating secure, scalable GCP data platforms. The engineer will build data pipelines, manage infrastructure as code, and ensure compliance with regulatory standards using technologies like BigQuery, GKE, and Terraform.
Line of Service Assurance Industry/Sector Not Applicable Specialism Assurance Management Level Senior Manager Job Description & Summary About the role: Our Treasury and Commodities team sits within Audit and…
This Data Engineer role involves building and scaling ETL/ELT pipelines within a greenfield data transformation project using Microsoft Fabric and Databricks. The position requires expertise in PySpark and SQL to develop modern data solutions and support enterprise-wide analytics.
Builds and maintains secure, high-performance backend systems and APIs for defense/intelligence programs, focusing on data-driven search/analytics and DevSecOps practices.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and databases to support Department of Veterans Affairs programs. The role focuses on optimizing data performance and integrity using SQL, Spark, Databricks, and Azure cloud analytics services.
Senior Python developer building a greenfield portfolio management backend for a financial organization, integrating Bloomberg APIs for market data, using PostgreSQL, Snowflake, and Azure.
Designs, builds, and supports Airtable-first solutions powering planning, delivery, and reporting workflows across Disney's Technology Planning & Operations team, integrating with external systems and APIs.
The VP of Product Management will lead the strategic direction and execution for Rapid7's Exposure Command and vulnerability management platform. This role involves driving product vision, managing P&L, and leading cross-functional teams to deliver cloud-native cybersecurity solutions.
The Lead Data Engineer will design and manage scalable data ingestion and integration pipelines to support AI, machine learning, and Generative AI initiatives at BMO. This role involves leading cross-functional teams to build AI-ready datasets and RAG solutions while ensuring data governance and security in a highly regulated environment.
Senior SDE on the AWS Analytics Engineering team building and operating petabyte-scale data platforms, workflow orchestration systems, and GenAI/ML-powered analytics at AWS scale.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
Data Analyst/Data Scientist building automated ETL workflows, data pipelines, and Tableau dashboards using Python, SQL, and Alteryx to support the Missile Defense Agency's Digital Engineering transformation.
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