Top Data Engineer Jobs

The ICT Architect (Principal Data Engineer) will lead data architecture and pipeline development, contributing to advanced AI and analytics solutions while overseeing various projects and providing technical leadership.

As a Data Engineer at DISQO, you'll design and develop data pipelines, collaborate with teams, and optimize data processes using modern technologies, focusing on building scalable data products.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

This Data Engineer role involves designing software solutions focused on ETL, data management, optimizing SQL queries, and ensuring data quality and accessibility.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

The Principal Data Engineer will lead data engineering efforts on public cloud, design scalable solutions, build data pipelines, and drive deliverables with a high level of technical expertise in relevant technologies.

Assist in developing and maintaining data processing pipelines, collaborating with teams to define requirements, and enhancing infrastructure for data sets.

The Data Engineer II role involves optimizing data architecture, developing data pipelines, and supporting analytics initiatives for cross-functional teams.

As a Distinguished Software Data Engineer, you will define technical strategies, mentor engineers, and optimize data platforms for AI readiness at Capital One.

Design and optimize database architecture and data models, implement data pipelines, develop solutions on cloud platforms, ensure data quality, manage projects and mentor junior engineers.

The Data Engineer will develop and maintain data pipelines and frameworks, leveraging AI tools, while ensuring compliance and operational excellence across data platforms.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

As a Senior Associate, you will design data solutions, manage ecosystems, mentor junior members, and maintain high standards while building client relationships. The role requires analyzing complex problems and delivering quality work.

The Data Engineer will lead data projects, collaborate with stakeholders, develop data transformations, and maintain data quality for business needs.

The Data Engineer will support data initiatives, build data pipelines, perform statistical analyses, and develop BI dashboards to drive business decisions.

As a Data Engineer, you will design, implement, and maintain data systems for Notifications at Whatnot, ensuring data quality and performance while collaborating with cross-functional teams on data architecture and workflows.

As a Data Engineer, you will build features and services, maintain cloud databases, collaborate with teams, and ensure data integrity.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

Design, build, and maintain scalable data pipelines and API integrations; implement data quality monitoring and alerting; troubleshoot data issues; collaborate with business stakeholders; support CI/CD processes and scale architecture for future needs.

The Senior Distinguished Data Engineer will architect and deliver data solutions for Compliance and AML, mentor talent, and drive modern tech adoption.

As a Data Engineer, you'll build and operate cloud data platforms, develop ETL/ELT pipelines, and ensure data quality for analytics and reporting.

As a Data Engineer, you will design and maintain data solutions and pipelines using Snowflake and Informatica, improve data processes, and support analytics and reporting in a hybrid work environment.

The Data Engineer will design and develop data platforms, manage ETL pipelines, optimize data models, and ensure data governance within an Agile team.

As a Data Engineer, you will design, build, and maintain cloud data platforms, develop ETL/ELT pipelines, and ensure data quality, working in Agile teams. Responsibilities include data modeling, troubleshooting, and supporting governance initiatives.

The Data Engineer is responsible for designing and maintaining ETL pipelines, optimizing data models, and integrating data solutions for reporting and analysis within an Agile environment.