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Build, deploy, and optimize data warehouses, data lakes, and ETL pipelines using SQL, Python, and cloud-based data platforms like Snowflake for Fortune 500 clients.
Designs and builds cloud-based data pipelines and warehouses using Azure/AWS and Databricks to deliver analytics solutions for retail and AI-powered projects.
The Data Engineer will design, develop, and maintain an enterprise data platform using Snowflake and Azure Data Factory. They will build scalable data pipelines and transformation processes to support reporting and analytics in Power BI.
The Lead Data Engineer will shape the technical direction of a Microsoft Fabric environment and manage data pipelines from ERP, CRM, and digital sources. The role involves mentoring engineers and improving data engineering standards within a cloud-based Azure platform.
The Business Intelligence Analyst will design, implement, and maintain data pipelines, databases, and analytics solutions using the Microsoft BI stack, Azure, and Power BI. The role involves collaborating with stakeholders to transform data into actionable insights and supporting the company's BI infrastructure.
Principal Data Engineer building cloud-based data and reporting platforms using big data technologies (Hadoop, HBase, MongoDB, Cassandra), coding in Java/Scala/Python, automating CI/CD pipelines, and leading enterprise-level data architecture for analytics at a financial services firm.
Principal Data Engineer designs and owns Blattner’s Microsoft Fabric-based data lakehouse, mentors the team, and builds pipelines from 30+ enterprise systems.
Build and maintain scalable data pipelines and models to power GEICO’s operational reporting and dashboards using SQL, dbt, Airflow, and related tools.
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.
Designs and implements cloud-based data solutions on Azure, optimizing queries and ensuring security and identity management.
Builds and maintains scalable data pipelines and platforms using Microsoft Fabric and Azure tools to process, transform, and store data for enterprise clients.
Azure Data Engineer supporting clients on Big Data projects, working with Azure Data Factory and Databricks to build data lakes and ML pipelines in cloud environments.
Designs and builds scalable Azure-based data pipelines and warehouses, then leads the team that maintains and optimizes them for analytics and reporting.
Builds and maintains data integration pipelines and master-data solutions, primarily using SAP, Microsoft tools (SSIS, Azure, Power BI), Python, and JavaScript.
Principal Product Manager leads initiatives to improve product management excellence and AI adoption across Microsoft’s SQL and Azure data platform, shaping how teams plan, prioritize, and execute at scale.
Build and maintain full-stack .NET and Azure solutions for federal clients, writing and testing code, integrating systems, and resolving technical challenges in a hybrid role.
Databricks Expert bridging Data Science and Data Engineering, supporting customer Big Data projects with data acquisition, transformation, and loading into data lakes on cloud-native Azure/Databricks stacks.
Build and maintain data pipelines and analytics solutions on Microsoft Fabric, using PySpark, Data Factory, and Power BI for clients.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses on Azure Synapse and Spark, using Python and SQL to support analytics and reporting for a healthcare e-commerce company.
Build and maintain Azure data pipelines with Databricks and ADF, optimizing Spark/Pandas notebooks for large-scale financial transaction processing in a regulated environment.
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