Top Data Engineer Jobs

The Data Engineer II will design and build scalable data platforms, manage data pipelines, and ensure data quality while mentoring the team.

As a Data Engineering Intern, you will contribute to data products, manage automation tools, help develop Infrastructure as Code, and optimize and support data processes while collaborating with the engineering team.

The Data Engineer III will design and implement AI-driven solutions, develop ontologies, lead projects, and mentor team members.

The Data Engineer Co-op will work on web data feeds, utilize AI technologies and frameworks, and develop data pipelines.

The Data Engineer will design, develop, and analyze data integration solutions and data workflows, collaborating in an agile environment while improving data accessibility and quality.

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

As a Data Engineer Intern, you will define metrics, model and transform data, ensure data quality, and support data strategy. You'll collaborate with product teams and work on various data engineering tasks to improve product experience and efficiency.

The Data Engineer will build and maintain data pipelines and lake architectures to support AI operations, translating business needs into data solutions and enhancing data quality and performance.

The Data Engineer is responsible for building and maintaining optimized data pipelines, developing data platforms, and supporting data science initiatives while collaborating with various departments.

The Data Engineer I will develop scalable data platform solutions, design ETL processes, optimize SQL queries, and collaborate with teams in Agile environments.

Maintain and expand a data platform by ensuring reliability and stability. Collaborate on infrastructure as code and support data engineering initiatives.

As a Senior Data Engineer, you will design and implement data solutions, collaborate with teams, and work on big data technologies to drive transformation at Capital One.

As a Data Engineer III, you will develop data solutions, lead projects, mentor peers, and ensure efficient data pipelines within cloud architectures.

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.

As a Data Engineer, you'll manage data warehousing and pipelines for blockchain analytics, ensuring data accuracy and supporting business functions. You'll collaborate with teams to improve operations and leverage AI for efficiency.

As a Data Engineer, you will manage the data warehouse and ELT pipelines for blockchain analytics, ensuring data accuracy and quality for product development and business growth.

As a Lead Data Engineer, you will develop and maintain data solutions, lead requirements documentation, and mentor team members while enhancing data-driven decision-making.

The Staff Data Engineer will design and optimize data pipelines, collaborate with stakeholders, mentor team members, and lead architectural decisions in data infrastructure.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

As a Senior Data Analytics Engineer, you will design data models, collaborate across teams, improve data infrastructure, mentor others, and lead complex analytics projects to drive business outcomes.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

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

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

As a Senior Data Engineer, you'll design and develop models to integrate diverse data sources for analytics and AI applications, ensuring data consistency and quality across domains.

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