Top Data Engineer Jobs

The Principal Data Engineer will design and develop data pipelines and visualization tools, lead complex data and analytics projects, mentor junior staff, and advise business leaders on data-driven insights. Responsibilities include collaborating with technical teams, defining and architecting data products, and driving innovation in data engineering standards and practices.

The Data Engineer will design and develop data pipelines, automation, and visualization tools for AI and analytics solutions. They'll advise business leaders on data-driven insights, collaborate with data platforms, and work with engineers to train AI models while ensuring high-quality data feeds.

The Data Engineer will develop solutions and build data pipelines, ensuring best practices in the data ecosystem. Responsibilities include designing databases, implementing data flows, and collaborating with teams while adapting to changing business needs.

As a Data Engineer II, you will collaborate with various teams to build scalable data systems that improve player experiences. Your responsibilities include ensuring code quality, mentoring engineers, and designing data solutions while prioritizing security and privacy. You will also innovate to enhance player experiences and support Riot’s game development lifecycle.

As a Data Engineer, you will optimize data architecture, ensure data accuracy, and build scalable solutions. Your responsibilities include managing data feeds, developing ETL workflows, and working with BI reporting tools like Domo, Power BI, and SSRS.

The Data Engineer III is responsible for developing and maintaining operational and reporting database systems, ensuring quality assurance, troubleshooting issues, and supporting the IT roadmap. This role involves working with SQL Server, implementing data solutions, and promoting a positive team environment.

The Data Engineer will be responsible for building data pipelines and infrastructure for ML models, analyzing data processing requirements, troubleshooting production issues, and collaborating with different teams at Stanford Health Care. Preferred skills include knowledge of multiple programming languages, resource management, and a collaborative mindset.

The Data Engineer III at Hinge will focus on creating essential data processes and components of a modern data pipeline. This role involves improving data flow, implementing critical pipelines, and maintaining analytics data warehouse. The engineer will collaborate with stakeholders to translate needs into actionable deliverables and contribute insights to team processes.

The Data Engineer is responsible for designing, developing, and supporting data solutions to meet regulatory requirements and facilitate data-driven decision-making. They work agilely to address risks in the data supply chain and contribute to analytic model development while collaborating with team members and customers.

As a Staff Data Engineer, you will mentor engineers, lead the design and architecture of complex software systems, uphold engineering best practices, and drive innovation in collaboration with cross-functional teams. You will ensure alignment with business goals and maintain high standards in software quality and documentation.

The Wireless Data Engineer is responsible for designing and maintaining scalable data architectures for processing large-scale network data. They will develop data flows, ensure data quality, collaborate with teams to meet business objectives, and optimize data processing systems while staying updated on emerging technologies.

As a Data Engineer, you will design and maintain scalable data pipelines using Java and Spark, optimize SQL queries, and implement solutions with Snowflake. You'll collaborate with teams to understand data requirements and ensure efficient data processes, and may develop visualizations with Tableau.

The Senior Data Architect will design and develop data models, enhance data loading capabilities, and collaborate with enterprise partners to optimize data usage. Responsibilities also include managing a team of Data Modelers, prototyping data solutions, and advising on best data practices to support operational and analytic needs.

The Data Engineer will lead the architecture and implementation of both on-premises and cloud-based data solutions while building data pipelines in AWS for data lakes and warehouses, utilizing tools like AWS Glue and Python. Responsibilities include managing ETL processes and ensuring efficient data integration.

As a Senior Lead Data Engineer at Capital One, you will lead a team in building scalable data solutions, collaborating with agile teams, and leveraging big data technologies to transform data handling and enhance governance. You will design, implement, and support cutting-edge cloud solutions while mentoring engineers and ensuring code quality. The role focuses on addressing complex business problems with big data and cloud computing.

The Data Engineer will develop and deliver enterprise applications focusing on data integration and analytics. Responsibilities include building scalable data processing pipelines, supporting data integration, and improving internal data capabilities. The role requires collaboration with IT and business teams to manage data issues and define data architecture strategies.

As a Data Engineer, you will prepare data for AI applications through ETL processes, ensuring data quality, cleansing, and compliance while developing data pipelines for model training and deployment.