Top Data Engineer Jobs

Lead the architecture and design of data and analytics solutions, focusing on ETL, data warehousing, and cloud technologies while collaborating with global teams to optimize data processes.

The role involves engineering and maintaining data pipelines within the Palantir platform, developing governance applications, and ensuring platform performance and compliance.

The Data Engineer, Senior Specialist designs and optimizes data pipelines, ensuring efficient data processing and integration of diverse sources to support business intelligence needs.

As a Senior Lead Data Engineer, you'll lead development teams, design technical solutions, utilize big data and cloud technologies, and drive transformation initiatives.

Lead the design and implementation of technical solutions using big data technologies. Collaborate with teams to deliver cloud-based data solutions and support Agile practices.

Develop and maintain data infrastructure for safety data analysis, build scalable data pipelines, conduct exploratory analyses, and support regulatory reporting in AV safety.

The Data Engineer will collect requirements, develop and optimize data pipelines, ensure data quality, and resolve engineering issues, collaborating closely with various teams.

The Data Engineer will build and maintain scalable data pipelines, ensure data quality, and collaborate with teams to meet data requirements for federal government projects.

This role requires a Data Engineer to design and develop databases, integrating data workflows into operational processes, and requires TS/SCI clearance.

The Data Engineer will create innovative solutions for data management, implement and maintain data pipelines, ensure data quality, and collaborate with various teams to support business processes in healthcare.

As a Data Engineer, you'll build data solutions, support analytics, and ensure data quality while collaborating across teams to optimize data management.

The Python Data Engineer will enhance data assets, drive requirements for data ingestion and access, and maintain code quality and tools in a dynamic office environment.

The Site Industrial Data Engineer enhances data management and performance reporting in manufacturing, overseeing data integrity and reporting systems. They support digital solutions and collaborate with site leadership for continuous improvement of site performance KPIs.

The Data Engineer, Senior will design and maintain data systems, build ETL pipelines, and collaborate with a team to optimize data solutions for client missions.

As a Data Engineer, you will design and implement scalable data pipelines, perform ETL processes, and develop data visualization dashboards using tools like Tableau and Power BI.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

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.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

The Lead Data Engineer will architect and optimize data pipelines, leading a team to create scalable data solutions that support analytics and decision-making.

The Data Engineer will develop and implement data pipelines, manage ETL processes, and work with big data in a collaborative team environment.

Lead a team to design and optimize secure data pipelines and platforms for analytics, ensuring high-quality data for strategic decisions.

As a Data Engineer, you'll build data infrastructure for analytics, drive business growth strategies, and enhance personalized user experiences at Eight Sleep.

The Data Engineer will modernize Business Intelligence capabilities, design data pipelines, deploy ML solutions, and collaborate across teams to improve data processes.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.