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The Senior Software Engineer will design and support enterprise data integrations and ETL workflows using Azure cloud technologies. The role involves collaborating with cross-functional teams to build scalable, high-performance data solutions for QVC's retail brands.
Leidos seeks a senior Data Architect SME to design and govern enterprise data architectures for DoD/intelligence environments, integrating structured/unstructured data across cloud, on-prem, and hybrid systems while advising leadership on modernization and security.
Ready to take on your next career challenge? Join Leidos and become part of a high-impact initiative supporting a multidisciplinary team focused on delivering cutting-edge planning, operational, technical, analytical,…
The Azure Data Engineer will design and maintain scalable cloud-based data pipelines and ETL frameworks using Azure services like ADF, Databricks, and Synapse. The role requires strong programming skills in Java or C# to build reusable components and integrate data across enterprise systems.
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.
Develops and maintains a government Investment Data Warehouse platform with AI/ML and GenBI capabilities, focusing on data modeling, ETL pipelines, and analytics dashboards using Snowflake, AWS, and React.
The Front-End/Full-Stack Developer will build and maintain analytics dashboards and AI-driven data warehouse solutions for public sector clients. The role focuses on UI/UX design, GenAI integration, and data visualization using technologies like React, Streamlit, Chainlit, and cloud-based AI services.
The Solution Architect will design and advance an Investment Data Warehouse platform, integrating Generative AI, machine learning, and automated decision-making tools within AWS and Snowflake ecosystems. The role involves technical leadership, prompt engineering, and building scalable, secure data pipelines for public sector clients.
The Advanced Analyst II develops and applies advanced machine learning and statistical models to solve complex business problems across retail operations, merchandising, and supply chain. The role involves partnering with stakeholders to deliver data-driven insights using technologies like Python, Azure, and Power BI.
Join a team of experts dedicated to shaping the future of insurance pricing through the commercialization of innovation, advanced analytics, and emerging technologies. As Manager, Modeling & Best Practices, you…
Location: Remote – Alberta, Canada Employment Type: 1-Year T4A Contract (Potential for Extension) About the Opportunity We are hiring on behalf of our client for a Senior Data Engineer to join their team on a 12-month…
Lead the development and delivery of a modern enterprise data platform using Microsoft Azure technologies. The role involves defining and executing data engineering strategy, managing a team of data engineers, and ensuring scalable, secure data solutions for reporting, analytics, and AI initiatives.
Builds and maintains enterprise data pipelines, warehouses, and semantic models in Azure to deliver trusted analytics for business users.
Build and modernize a SQL Server-based analytics stack for a VA health-system customer, splitting time between ETL/pipeline work and Power BI reporting, statistical modeling, and ad-hoc data calls.
Transforms raw data into reliable, documented analytical assets by designing data models, building ETL/ELT pipelines with dbt/Dataform/Airflow, and ensuring data quality/governance in cloud environments (Snowflake, BigQuery, Redshift, Azure Synapse).
Builds and maintains Microsoft Fabric’s data platform (lakehouses, warehouses, pipelines) to ingest, transform, and model data from ERP/CRM/e-commerce sources, enabling analytics, AI assistants, and reporting via Power BI and Fabric IQ.
Design and build scalable cloud-native data pipelines and analytics-ready solutions using Azure, Databricks, and Python to support organizational decision-making.
GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce…
Designs and builds secure Azure data pipelines, models, and reports for a government programme, delivering insights from large-scale datasets.
Builds and maintains data pipelines and analytics platforms using Microsoft Fabric, Delta Lake, and Azure technologies to transform enterprise data into actionable insights for reporting and decision-making.
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