Top Data Engineer Jobs

The Senior Data Engineer will build and maintain data pipelines, optimize data processes, design a data validation framework, and ensure user privacy and security.

The Principal Data Engineer will design and optimize data pipelines, mentor team members, develop data products, and ensure data integrity while collaborating across teams.

The Lead Cloud Data Engineer will design and optimize ETL pipelines, manage data quality, and collaborate with teams to meet data needs. Responsibilities include monitoring pipelines and mentoring junior engineers, while leveraging AWS and other cloud technologies.

As a Data Engineer II, you will develop and operationalize data pipelines, manage data ingestion and transformation, and ensure data quality for analytics. You will also collaborate with DevSecOps for CI/CD and enhance data solutions.

Develops and operationalizes data pipelines, engages with DevSecOps, and ensures data quality for analytics at Centene.

As a Lead Data Engineer, you will design scalable data platforms, optimizing pipelines, defining data models, and guiding data integration while collaborating with cross-functional stakeholders to align strategies with business goals.

As a Lead Data Engineer at Capital One, you will design and implement data solutions, optimize data pipelines, and collaborate with Agile teams to enhance data quality and governance.

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 role involves leading development teams, designing data solutions, optimizing systems, and mentoring while working with big data technologies in a cloud environment.

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.