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Leads data governance, quality, and architecture for a fintech platform on AWS using Lake Formation, Glue, Spark, and Delta Lake, ensuring technical controls, security, and compliance with GDPR/PCI-DSS.
Implement technical data governance—cataloging, quality, security, lineage—on an AWS-based platform using Lake Formation, Glue, Spark, Delta Lake, and Kafka, bridging engineering, compliance, and business teams.
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that…
Lead the architecture and implementation of enterprise metadata management solutions using Ab Initio Metadata Hub, Databricks, Unity Catalog, and Delta Lake, focusing on metadata governance, lineage, stewardship, and impact analysis.
Confirmed Data Engineer at a Paris-based consulting firm, designing and industrializing cloud data platforms and robust data pipelines using Spark, PySpark, SQL, Airflow, Databricks, and cloud providers (Azure/AWS/GCP), while mentoring junior engineers.
Lead a team migrating legacy data architectures to a modern Databricks/Azure platform, building scalable pipelines and advanced analytics solutions for a large client.
Designs and maintains Azure-based data platforms and Power BI solutions for clients, focusing on healthcare environments and Microsoft tools like Synapse, Databricks, and Data Factory.
The Senior Data Engineer will design and build scalable data infrastructure and ETL/ELT pipelines within an Azure and Databricks Lakehouse environment. The role involves collaborating with cross-functional teams to support AI and analytics workloads while mentoring junior engineers.
Builds and maintains cloud data pipelines in Azure, migrating Synapse workflows to ADF/Databricks, testing, and deploying production data processes for a transportation ITSM project.
The Data Engineer will design, develop, and maintain data pipelines and platform services using Microsoft Fabric and Apache Spark to support the Canadian Cancer Society's digital transformation. This role involves building scalable data solutions, ensuring data quality and governance, and collaborating with cross-functional teams in a hybrid work environment.
Senior Data Engineer building scalable data architectures and enterprise data products on Azure, Databricks, Delta Lake, Spark/PySpark, SQL, and Python, leading ETL/ELT pipelines, data quality, and governance initiatives while mentoring engineers.
LOCATION: Lehi, UT HYBRID: Monday-Wednesday In-office POSITION OVERVIEW: Opiniion is a SaaS, AI first company reshaping how businesses understand and act on customer feedback. We're looking for a Staff Data…
Data Engineer designing, building, and optimizing modern data platforms on Azure, Databricks, and Fabric for a digital transformation consulting firm.
Data Engineer designing and building modern data platforms on Azure, Databricks, and Fabric for client consulting engagements at a digital transformation firm.
Leads end-to-end data engineering projects using Azure tools, designs scalable pipelines, and mentors teams while advising clients on data architecture.
The Lead Data Engineer will build and maintain enterprise data platforms to support analytics, AI, and ML initiatives within a Federal Government environment using Azure Databricks and Microsoft Fabric.
Data Engineers on 12-month contracts designing enterprise-scale ELT/ETL pipelines and Lakehouse architectures using Databricks, PySpark, and Azure for a government environment and climate-focused organisation.
The Senior Data Engineer will design and optimize scalable data pipelines using Azure Databricks, Apache Spark, and Azure Data Factory. The role focuses on building data solutions for the financial sector while ensuring strict adherence to data governance and security standards.
The Senior Data Engineer will design, build, and maintain scalable enterprise data pipelines and cloud-based data platforms using PySpark, Python, SQL, and Azure Data Factory. This role involves integrating complex business systems and partnering with data scientists to operationalize machine learning models and AI initiatives.
The Lead Data Platform Engineer will architect and manage the enterprise data platform using Microsoft Fabric, Azure, and Power BI. This role involves leading the design of data pipelines, lakehouses, and warehouses while implementing DevOps practices to support the organization's data and AI strategy.
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