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Solution Engineer at Snowflake collaborates with sales teams to demonstrate and implement Snowflake's data platform for customers, bridging technical and business needs with hands-on pre-sales support.
Intermediate Data Engineer builds and maintains Azure-based data pipelines and analytics platforms for a government regulatory system, using Databricks, PySpark, and SQL.
Senior Data Engineer builds and maintains scalable data pipelines using Python, AWS, and Spark to support real-time financial decision-making and credit operations in a fintech-driven asset management firm.
Job Title: HR Data Delivery Lead Role Overview A new data lake solution is being implemented and the HR Data Delivery Lead will be responsible for end-to-end delivery of data products, pipelines, and reporting…
Designs and maintains Mastronardi’s enterprise data warehouse using Microsoft Fabric and PySpark, building scalable pipelines and models for business reporting.
Senior Data Engineer designs, builds, and optimizes scalable data pipelines and solutions using Azure Data Factory, Databricks, and SQL, ensuring performance and cost efficiency in a collaborative team environment.
Designs and governs AI-ready data architectures for retail media and ad tech platforms, leveraging Azure, Databricks, and Snowflake to enable scalable, governed data products and semantic layers.
Senior Data Engineer designing and maintaining Databricks-based ETL/ELT pipelines, ensuring data quality and scalability for cloud data platforms.
Builds and maintains scalable data pipelines and lakehouse solutions for financial services clients, focusing on ETL/ELT, data integration, and regulatory reporting using Python, SQL, PySpark, and Azure services.
Data Engineer (Data Lake) Note: Visa sponsorship is not available for this position. Candidates must have valid work authorization in the hiring country. Key Responsibilities Design, build, and maintain scalable data…
Build and maintain the core data infrastructure that powers AI research, training, and production at an open-source AI lab, using distributed systems like Spark, Kafka, and Airflow.
Designs and maintains Azure-native data pipelines for a global mining company, transforming operational data into analytics-ready datasets using Azure Synapse, Databricks, and Data Factory.
Designs and builds scalable data pipelines and integrates LLMs into production systems for a document-signing platform, using Python, Spark, and cloud technologies.
Lead a team building and scaling the data ingestion layer that feeds AI training corpora, including web crawling, extraction pipelines, and data lakes, while staying hands-on with distributed systems and collaborating closely with research teams.
Builds and maintains global data pipelines and infrastructure for T-Mobile, integrating diverse sources like Kafka and databases using GCP, Python, and Apache Airflow.
Designs and maintains scalable AI data platforms for manufacturing operations, building pipelines and frameworks to turn factory and multimodal data into AI-ready datasets.
Lead a data platform for institutional investors, defining product vision, gathering client needs, and collaborating with engineers to deliver scalable analytics solutions.
Build and optimize Google Cloud Platform data pipelines and BigQuery models to power AI and analytics for a global insurance platform.
As part of the growth of our Hybrid Cloud & Data practice (AI, Analytics & Data Services), we are looking for a Junior to Intermediate Data Engineer – Hybrid Cloud & Data to contribute to the development…
Overview: The Finance Data & Integration Lead is a senior individual contributor within the Finance organization responsible for bridging Finance requirements with enterprise data and system execution. This role…
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