Top Automotive Data Engineering Jobs

The Senior Ad Ops Engineer develops and manages data products for marketing activation, focusing on data pipelines, quality validation, and integration with marketing platforms.

The Senior Enterprise Applications Engineer designs and maintains data architecture and pipelines, supports financial reporting, manages projects, and mentors junior members while utilizing business intelligence tools and emerging technologies.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.

The Senior Data Engineer develops ETL/ELT pipelines and data solutions for lab operations, focusing on collaboration and continuous improvement in data processing.

The role involves building scalable data platforms, developing data pipelines, mentoring engineers, and enhancing data security while collaborating across teams.

The Data Engineer designs and maintains data pipelines for advanced analytics in supply chain, ensuring data quality and reliability while collaborating with cross-functional teams.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

Lead a team to design and modernize cloud-native data solutions and pipelines using Azure services. Drive transition from flat-file integrations to API-driven models, enforce coding standards, support CI/CD, mentor developers, and deliver efficient ETL, data modeling, and BI solutions.

Serve as liaison between Finance and IT for Drivetrain Morse Systems: lead data analytics and integration efforts, build and maintain dashboards and data models, manage ETL and data load processes, collaborate on data warehouse architecture, perform code/design reviews, steward data sources, and manage DMS IT project and portfolio initiatives using Agile/DevOps practices.