Top Data Engineer Jobs

As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.

The Lead Data Engineer will optimize data architecture and pipelines, drive data initiatives, and ensure consistent data delivery for cross-functional teams. Responsibilities include troubleshooting application errors, developing data transformations, creating BI datasets, conducting data analysis, and documenting project phases.

The Staff Data Engineer will design, develop, and deploy data engineering solutions, collaborating with cross-functional teams and driving the adoption of cloud-based technologies. Responsibilities include optimizing data pipelines, validating data products, and leading the implementation of data solutions for analytics and strategic initiatives.

The Lead Data Engineer will enhance the reliability of Disney's big data platform, collaborating with teams to improve data pipelines and monitoring systems, leading projects, mentoring junior engineers, and developing solutions for incident observability and automation.

The role involves developing and improving feature store tooling and services, building streaming data ecosystems, working on event-driven ML pipelines, and collaborating with diverse teams to foster innovation and quality. Responsibilities include overseeing large-scale, real-time distributed systems and contributing to ML infrastructure development.

The Sr Data Engineer role at Disney involves building and maintaining the Audience Manager Platform, ensuring scalable data processing pipelines, and collaborating with various teams to enhance product-driven initiatives. The engineer will participate in Agile methodologies, provide on-call support, and generate reports while driving innovative data solutions.

The Senior Data Engineer will design and develop batch and streaming data jobs, collaborate with ML engineers to automate data pipelines, and create tools to support event-driven architecture. The role requires working in an Agile environment and managing the lifecycle of data pipelines to support machine learning initiatives.

The Sr. Data Engineer will design and build scalable data pipelines across various sources to support data-driven decisions and generative AI initiatives. Responsibilities include collaborating with cross-functional teams, implementing data engineering principles, and optimizing performance and security of data applications.

As a Senior Data Engineer, you will focus on building data infrastructure, managing ETL pipelines, collaborating with analysts, maintaining databases, and implementing process improvements. You will lead the development of data services and stay updated with cloud technologies to enhance data handling across the company.

The Senior Data Engineer at Two Barrels will lead the development of data infrastructure and ETL pipelines while collaborating with software and analyst teams. Responsibilities include managing data services/platforms, improving existing data models, and ensuring scalable, cost-effective database design. Staying updated with cloud technologies and implementing process efficiencies are key components of the role.

Develop and maintain data platforms, architect data pipelines, and collaborate with stakeholders to drive operational efficiencies. Improve system performance and ensure data security and compliance. Share knowledge through documentation and mentoring.

Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.

As a Data Engineer, you will manage and optimize data pipelines, develop ETL processes using Python, maintain AWS infrastructure, model data across teams, and assist in report generation and debugging.

The Senior Data Engineer will collaborate with Agile teams to design and support technical solutions, focusing on data pipelines and cloud-based services. Responsibilities include coding, testing, and delivering data solutions while mentoring team members and staying updated on tech trends.

The Senior Data Engineer will lead the development of high-impact products, collaborate with Finance and Accounting teams, and take ownership of data services lifecycle. Responsibilities include architecting data models, resolving data integrity issues, and ensuring data solutions align with business needs.

The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.

As a Lead Data Engineer at Capital One, you will design and support technical solutions, work with cloud-based data services, and collaborate across Agile teams. You'll tackle complex data problems using Java, Python, and various big data technologies, while mentoring others and ensuring robust and efficient code.