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We are looking for a skilled Data Engineer with strong DBT experience to design, develop, and optimize scalable data transformation pipelines on modern cloud data platforms. The ideal candidate should have hands-on…
Designs and maintains secure, scalable data pipelines and warehouses for a Navy IT program, ensuring reliable analytics and reporting in a mission-critical environment using SQL, Python, and cloud/on-prem tools.
About us: We are a highly successful 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Businesses worldwide trust our expertise to…
Lead the design and delivery of advanced data, analytics, and AI solutions using the Microsoft technology stack.
Designs, configures, and maintains Azure Synapse pipelines and data integration solutions for an 8-month project.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software…
Junior Cloud Data Engineer (Junior–Mid Level) Location: Singapore Employment Type: 12-Month Contract (Renewable) Monthly Salary: Up to SGD 6,200 (depending on skills and experience) About the Role We are looking for a…
Designs and oversees cloud data platforms on Azure and Databricks, building scalable data lakes and pipelines with Spark, ADF, and Synapse.
Designs enterprise-scale data models and blueprints for analytics and AI initiatives across commerce, finance, and supply chain using Azure Synapse and Databricks.
Designs and delivers Azure-based data and AI solutions for clients, leveraging Fabric, Synapse, Databricks, and Power BI to build scalable analytics and AI pipelines.
Build and maintain cloud data pipelines using Azure Synapse and Azure Pipelines, refactor legacy SQL into PySpark, and ensure reliable data delivery for a logistics-focused supply-chain company.
Design and build Azure-based data pipelines and analytics-ready datasets for public-sector modernization, using Databricks, Python, SQL, and Azure services.
Senior Data Engineer builds and maintains scalable data pipelines using Microsoft Fabric, Synapse Analytics, Python, and SQL for reliable data integration and transformation.
Lead the architecture and delivery of an AI-powered SaaS data platform in Snowflake, building scalable ELT pipelines, Power BI analytics, and data quality frameworks while mentoring engineers and collaborating with cross-functional teams.
Build and maintain the data platform for an AI-powered SaaS finance automation product, designing Snowflake pipelines, Power BI reports, and ensuring high-quality, trusted analytics for internal and customer use.
Job Title: Data Engineer Location: Hanover, MD Type: Contract Compensation: 55-70/hr W-2, depending on experience Work Model: Onsite ship required by federal client Responsibilities Assign a dedicated Data Engineer to…
Designs and implements data platforms (lakehouses, ETL pipelines, event streaming) for clients, balancing architecture with hands-on development using Azure, SQL, Python and PySpark.
Build and optimize cloud-based data platforms using Databricks, Delta Lake, and Azure services to migrate legacy warehouses to a modern Lakehouse architecture.
Design and build a modern Azure-based Lakehouse architecture using Databricks, Delta Lake, and Spark to replace legacy data warehouses and enable advanced analytics.
Builds and maintains scalable data pipelines on Databricks and Azure Synapse using PySpark, Python, and SQL for reliable analytics.
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