Top Data Engineer Jobs

As a Senior Lead Data Engineer, you'll lead a development team, design and implement data solutions using machine learning, distributed systems, and full-stack technologies, while collaborating with Agile teams and ensuring code quality.

The Data Engineer will develop and optimize data processes, support transactional applications, and build data pipelines, ensuring high-quality, performant solutions for business needs.

The Senior Data Engineer will manage Oracle Exadata Database Machines, ensuring operational availability, performance engineering, and automation, along with infrastructure architecture and lifecycle management.

As a Data Engineer, you will design and implement scalable data architectures, oversee integration and governance while collaborating on Master Data Management frameworks, to optimize data performance and drive innovation across the organization.

The Data Engineer is responsible for building and maintaining ETL/ELT pipelines, optimizing data storage formats, managing CI/CD pipelines, and creating visualizations with actionable insights, focusing on reliability and data quality.

The Advanced Data Engineer is responsible for leading the development of data solutions, driving digital innovation, and mentoring team members while ensuring successful delivery of complex data systems.

Design and maintain data pipelines and cloud-based platforms supporting analytics and ML workloads. Collaborate on data architecture and establish governance practices.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

As a Data Engineer at Booz Allen, you'll develop and implement data engineering solutions, manage data, and automate processes for mission-driven projects.

The Data Engineer will lead data lifecycle strategy, manage data acquisition and cleansing, and collaborate with teams to optimize data solutions and architecture.

As a Data Engineer, you will design and maintain complex data applications, develop pipelines, enrich data, and optimize data architecture for security and performance across multiple platforms.

The Data Engineer will design and maintain data pipelines, develop data lakehouse solutions, ensuring data quality and collaborating with analysts to resolve data issues.

The Data Engineer will design and implement data pipelines, optimize data models, and collaborate with teams on data needs and analytics solutions.

As an Azure Data Platform Consultant, you will deliver data solutions using Azure and Fabric, engage with clients, design solutions, and optimize data platforms.

The Data Engineer will provide automated data sets, implement reporting dashboards, perform data analytics, and collaborate with teams on data-related initiatives. This role focuses on advancing a data-driven culture in the Neurovascular business.

As a Data Engineer, you will design and optimize data platforms using Microsoft technologies, develop ingestion pipelines, and implement data architectures to support analytics needs.

Design and implement scalable database solutions, collaborate with teams, configure database environments, ensure performance and security, and provide technical guidance.

This role involves designing and implementing database solutions, collaborating with teams, and ensuring data security and performance for customer projects.

The Data Engineer will automate reporting, support data analytics for quality systems, and drive a data-driven culture within the Neurovascular team.

The Data Engineer II will design, build, and deploy data solutions that enable organization-wide access to data, supporting AI, Machine Learning, and business intelligence. Responsibilities include creating data pipelines, ensuring data quality, and collaborating with teams to enhance data products.

Intern will gain hands-on experience in data engineering by working with technologies like Databricks, SQL, and Azure. Responsibilities include technical proficiency development and participation in AI projects.

The Data Engineer will design, build, and maintain data pipelines, ensure data quality, and collaborate with teams to support analytics and business decisions.

As a Data Engineer, you will build and maintain data pipelines, ensure data reliability, collaborate with teams, and drive improvements in data platforms while supporting analytics and decision-making.

The Sr Data Engineer, AVP will analyze complex problems, develop applications, manage projects, ensure compliance, and coach junior analysts while working with various data technologies.

Design, build, and operationalize data and ML pipelines on Databricks. Implement CI/CD and infrastructure-as-code, ensure data quality/governance, troubleshoot incidents, and collaborate cross-functionally to enable reproducible ML lifecycle and deployments.