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Design and govern the enterprise data architecture for Federal Student Aid’s Common Data Model, CRM platforms, and integrations to ensure consistent, secure, and reusable data across systems.
The Principal Data Engineer will lead enterprise data architecture and strategy at Mercedes-Benz USA, designing scalable data platforms and pipelines using Azure, Databricks, and distributed processing frameworks. This role involves setting technical standards, mentoring teams, and delivering data products to support analytics, machine learning, and AI initiatives.
Role: MCP Server Engineer Experience: 5+ Years Location: Gurgaon OR Bangalore Work Mode: Work From Office [5 Days Office] ROLES AND RESPONSIBILITIES: • Design, build, and maintain secure connectors and pipelines…
About Us Mercedes-Benz USA is responsible for the marketing, sales, and service of Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values.…
Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic…
VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you’ll develop and maintain pipelines…
Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making? VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings…
Builds and scales Harvey’s data platform to enable secure, self-serve data access for product, analytics, and ops teams, focusing on Snowflake ingestion, CDC, orchestration, real-time processing, and governance for a high-growth AI-driven legal services company.
Senior Data Engineer at a consulting firm serving financial clients, designing and implementing enterprise-scale data platforms using Microsoft Fabric, building ETL/ELT pipelines, and implementing Medallion Architecture with SQL, Python, and Azure technologies.
Designs and leads enterprise-scale data platforms using Azure Databricks and Microsoft Fabric to support analytics, reporting, AI, and ML for a federal government client.
Senior Data Engineer designs and maintains data pipelines using Microsoft Fabric and Azure, focusing on PySpark, SQL, and data-source integrations with high security and auditability standards.
Data Engineer building and maintaining data pipelines, PySpark notebooks, and CI/CD automation in Microsoft Fabric and Azure on a hybrid B2B contract in Warsaw.
Medior Managed Services Data Engineer managing and optimizing Azure Databricks platforms for clients—designing data pipelines in SQL/Python, implementing CI/CD and IaC, and ensuring 24/7 platform reliability.
Lead Data Engineer at RBC responsible for end-to-end delivery of an enterprise-scale, AI-ready data platform — shaping data flows, supporting AI/ML pipelines, and driving analytics. Core tech includes SQL, Kafka, event streaming, and Lakehouse architectures (Delta Lake, Iceberg).
Build and own Harvey’s data platform—ingesting, processing, and serving data securely for AI-driven legal services, ensuring reliability, governance, and real-time capabilities.
Senior Data Engineer working on Azure data and analytics projects, using Spark, Delta Lake, SQL, Azure Data Services, and Power BI to process data from Excel, CSV, JSON, APIs, and relational databases.
Data Engineer designing high-performance data pipelines with Azure Databricks, PySpark, and Delta Lake for large-scale financial data integration, transformation, and modeling within an international Agile team.
Designs and builds scalable Data & AI solutions on Databricks, focusing on ETL/ELT pipelines, Python workflows, and Lakehouse architectures.
Principal ML Engineer builds and deploys scalable AI systems for industrial operations, transforming unstructured data into actionable insights using deep learning, generative AI, and computer vision.
Build and optimize scalable analytics solutions using Azure tools like Fabric, Synapse, and Power BI, blending technical expertise with business impact and AI-driven insights.
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