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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.
The Senior Data Engineer will design, build, and maintain enterprise data pipelines for the Air National Guard using Azure Databricks, Python, and SQL. This role involves managing ETL/ELT processes, ensuring data quality, and supporting mission-critical data ecosystems within a secure government environment.
Senior Analyst on the Data Analytics and AI Operations team responsible for operating, monitoring, troubleshooting, and improving enterprise data and analytics platforms using Databricks, Snowflake, Azure Data Factory, Python, SQL, Power BI, and MicroStrategy.
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.
The Senior Data Analyst manages data governance, quality, and metadata for the fraud data ecosystem using tools like Collibra and SQL. They ensure data integrity through UAT validation, post-production monitoring, and cross-functional collaboration.
The Utility Data Programmer Analyst supports utility projects by analyzing large datasets, performing data validation, and building analytical workflows. The role requires expertise in SQL, data visualization tools like Power BI, and experience with relational databases to transform complex utility asset data into actionable insights.
Data Engineer focused on Adobe Experience Platform, designing and building scalable data pipelines, XDM schemas, identity resolution, and customer segmentation for enterprise marketing solutions using SQL, Python, dbt, and cloud data warehouses.
Builds and maintains data infrastructure for an AI biomedical research platform, focusing on ingesting, harmonizing, and serving multi-modal neurodegeneration datasets for AI tools like InsightEngine and OpenScientist.
Description of Job Duty: The overall purpose of this job is to provide strategic and technical expertise for the University's enterprise reporting, analytics, and data architecture environment. The Senior Business…
Designs and leads LinkedIn’s enterprise people analytics platform architecture, ensuring scalable, AI-ready data foundations for trusted analytics, reporting, and AI-driven insights across the workforce ecosystem.
Design scalable data models and maintain dbt transformations for enterprise analytics across Finance and Supply Chain. Use SQL and ERP platforms to enable business-critical reporting in a hybrid environment.
Builds and maintains production-grade ETL/ELT pipelines, lakehouse architectures, and DevOps automation for enterprise clients in aviation, banking, and retail using Python, PySpark, SQL, and cloud platforms.
Senior QA Automation Engineer (hybrid) focused on automated testing of data pipelines and data quality, using Databricks, PySpark, Python, SQL, Azure DevOps, and Azure Purview.
The Staff Data Engineer at Commonwealth Bank will design and build scalable cloud-native data products, platforms, and pipelines that power customer engagement, CRM experiences, operational intelligence, and AI-enabled solutions. They'll work with emerging Generative AI and agentic AI capabilities, influence data architecture, and establish engineering standards across Business Banking.
Analyzes and manages financial data for clients, performing SQL-based data sourcing, lineage, and mapping to deliver requirements for business analysts and developers in a fintech context.
Support banking project data governance, quality, and compliance using SQL, data warehousing knowledge, and tools like JIRA and Confluence.
Summary: The Senior Platform/DevOps Engineer — Data Platform is responsible for designing, building, securing, and operating the Azure cloud infrastructure and automation that supports Regent Bank's Snowflake data…
Builds and owns the data governance, modeling, and analytics foundation for People Experience at Fetch, defining strategy, designing scalable systems, and hands-on implementing SQL models/dashboards to enable AI and operational decisions.
Design and build scalable data pipelines and models for an AI-focused GPU cloud platform, using Palantir Foundry and Python to enable real-time analytics and customer insights.
Designs and builds scalable data pipelines and models for Nscale’s GPU cloud platform, transforming operational signals into reliable data products using Palantir Foundry and Python.
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