Top Senior Data Engineer Jobs

The Senior Data Engineer will architect and enhance data infrastructure, create dependable data pipelines, oversee cloud-based data warehouses, and mentor engineers to enable scalable solutions for analytics and machine learning.

As a Senior Data Engineer, you design and maintain data pipelines and infrastructures to support analytical products, ensuring reliability and scalability. You collaborate with teams to process vast datasets and enhance data-driven decision-making through advanced analytics, machine learning, and automation.

The Senior Data Engineer processes structured and unstructured data, validates data quality, develops data products, supports Agile planning, and monitors emerging technologies.

Design and optimize data pipelines, automate ingestion frameworks, and enhance data layers within GCP for healthcare analytics and reporting.

The Lead Data Engineer will design and optimize scalable data pipelines within GCP for healthcare analytics and reporting, lead automation efforts, and mentor junior engineers.

Lead data engineering efforts by building scalable pipelines, optimizing data architectures, managing data governance, and collaborating with stakeholders to ensure project success.

As a Senior Data Engineer, you will create robust data solutions for AI workflows, focusing on ingestion, transformation, and data quality while collaborating with engineers to ensure scalable automation.

The Lead Data Engineer will develop and maintain ETL pipelines using IBM DataStage, ensuring performance and stability. Responsibilities include solution design, troubleshooting, and collaborating with data teams to meet operational needs while adhering to best practices.

The Data Platform Engineer will develop and maintain scalable data platforms, implement data integration solutions, and mentor teams on best practices and standards.

As a Sr. Data Engineer II, you'll design data ingestion processes, support AI/ML capabilities, and provide technical assistance for classified systems while engaging with senior-level executives.

As a Senior Data Engineer, you will design and optimize data pipelines, enhance system efficiency, and collaborate with teams to drive health outcomes using large healthcare datasets.

The Senior Data Engineer designs data architectures, optimizes data pipelines, gathers requirements, ensures data integrity, and provides analytics solutions for stakeholders.

The Senior Data Engineer develops cloud-native data pipelines, optimizes data processing frameworks, and implements AI-driven workflows for analytics and automation.

The Senior Data Engineer will design and maintain scalable cloud-native data pipelines, develop APIs, implement advanced analytics, manage AI workflows, and enhance data operations collaboratively.

The Senior Data Engineer will design and maintain cloud-native data pipelines, develop Python APIs, implement advanced analytics, and collaborate with teams to build AI-driven data solutions.

The Staff Data Engineer will develop and optimize data systems, analyze data, and collaborate with teams to deliver scalable solutions in healthcare data management.

The Senior Staff Data Engineer will lead and influence data technology strategy across teams, focusing on infrastructure for data ingestion, storage, and analytics. Responsibilities include project execution, providing technical guidance, and ensuring reliability, performance, and security of data systems.

The Senior Data Engineer will design and maintain data pipelines, ensuring data reliability and consistent models, while collaborating with stakeholders to improve data practices.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

The Sr. Data Engineer will design and maintain data pipelines, ensuring data integrity across the organization and collaborating with data scientists and analysts.

The Staff Data Engineer will design data architecture, develop scalable data pipelines, ensure data quality, and lead governance practices while collaborating across teams.

The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.

The Data Analytics Platform Engineer will design and implement data pipelines, manage platforms, and provide data insights for various missions, focusing on cybersecurity and operational efficiency.

The Senior Data Engineer will maintain and improve data infrastructure, design ETL processes, and create high-performance pipelines for analytics and AI initiatives using SQL and Python in cloud environments.

The Senior Data Engineer will design and maintain data pipelines, write production-grade Python and SQL code, and support AI initiatives while collaborating across teams.