Top Data Engineer Jobs

The role involves designing and building scalable data platforms, migrating data to the cloud, and implementing CI/CD practices while collaborating with cross-functional teams.

The role involves structuring and ingesting customer data, setting up ETL pipelines, and providing solutions for data export and import.

The Founding Data Engineer will build the data function from scratch, designing data models, establishing infrastructure, and creating executive-level BI dashboards to drive decisions.

The Data Engineer will develop production-ready data models, collect business requirements, design data warehouses, and implement ETL best practices while collaborating with teams.

As a Principal Data Engineer, you will design and maintain scalable data pipelines, collaborate with teams on data insights, and mentor other engineers while ensuring data quality and compliance.

The Data Engineer will lead the migration of large datasets from legacy systems to AWS cloud, develop analytic applications, and manage SQL Server and Oracle databases.

The Scientific Data Engineer will design data architecture, build ETL/ELT pipelines, implement data quality checks, and develop semantic layers for AI-consumable data products in healthcare research.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.

As a Data Engineer, you will build advanced technology solutions and data pipelines, analyze structured and unstructured data, and support mission-driven projects. You will work within a team environment and manage the design, building, and maintenance of scalable data platforms.

As a Data Engineer, you will develop and maintain scalable data platforms and pipelines, support analytics, and work with cross-functional teams to organize data for actionable insights.

The IT Controls Data Engineer will create and maintain data pipelines and automated evidence workflows for IT controls, ensuring compliance and audit readiness.

The Data Engineer will design, develop, and optimize data platforms for analytics and machine learning, ensuring high-quality data solutions.

The Data Engineer will design, build, and maintain data pipelines and ETL/ELT workflows, optimizing data processes across various platforms while supporting analytics and machine learning use cases.

The Data Engineer will design, develop, and maintain scalable data solutions, build data pipelines, and collaborate with stakeholders for a federal customer's data modernization initiatives.

The role involves managing data infrastructure, building data pipelines, providing analytics to inform business decisions, and shaping AI workflows in the organization.

The Principal Data Engineer will design and implement enterprise data frameworks, mentor teams, and ensure data quality while collaborating with stakeholders.

The Data Engineer III will lead the development and maintenance of data infrastructure and tools, ensuring data integrity while driving strategic data initiatives.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

Develop and design data pipelines, optimize data delivery and automate processes to support end-to-end solutions in various settings.

The Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

The Data Engineer will develop data pipelines and integrations, focusing on healthcare data to enhance financial operations, ensuring efficient data handling and driving impactful solutions.

Design and maintain data pipelines and infrastructure, develop ETL processes, collaborate with stakeholders to integrate data, and optimize database performance.

The Principal Data Engineer will design and implement scalable data platforms, lead architecture discussions, and mentor teams. Requires expertise in Azure and Databricks.

As a Business Intelligence/Data Engineer, you will analyze data structures, implement data warehousing solutions, and design data visualizations while working with AI/ML services in cloud environments.

As a Data Engineer, you'll design and optimize data pipelines, collaborate with teams for analytics and machine learning, and enforce data governance standards.