Top Data Engineer Jobs

As a Senior Data Engineer, you will lead small teams through complex projects, drive execution of business plans, and oversee engineering solutions from design to implementation. You will manage project timelines, ensure compliance, and promote innovation while enhancing designs to reduce defects.

As a Data Ops Engineer II at GEICO, you will design and build scalable data systems, ensure data quality, and engage in lifecycle collaboration to enhance services for users. You'll employ programming languages and cloud tools while driving process improvements and mentoring junior team members.

The Senior Java Data Engineer will design and build scalable systems to manage and transform large data sets, engage in software lifecycle collaboration, lead design sessions, mentor engineers, and improve engineering processes.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.

The Advisory Data Engineer at Syniverse will design, develop, and maintain software tools and data pipelines while collaborating with other developers to optimize data systems. Responsibilities include delivering complex features, automating processes, reviewing designs, and ensuring functionality, performance, and reliability of data initiatives.

As a Cloud Data Engineer, you will build distributed data pipelines and workflows, manage large data sets, and improve data processing and usability, along with providing technical guidance and support to clients.

As a Senior Data Engineer at Balbix, you will design and implement features for ingesting and manipulating large datasets, support backend operations for data-driven interfaces, and build web services and APIs. You'll collaborate with various teams to address cybersecurity and IT challenges using data engineering techniques.

The Supervisor of ERP Data Engineering & Analytics at Labcorp is responsible for designing, developing, and maintaining data pipelines, databases, and analytical systems to support business intelligence and analytics needs. This role involves collaborating with cross-functional teams, building scalable data pipelines, and ensuring the efficiency and reliability of the company's data infrastructure.

As a Cloud Data Engineer at SDG, you will design and develop databases and data warehouses, maintain data integration tools and pipelines, and analyze data using various technologies. Your role involves leveraging cloud data integration tools and working closely with customers to ensure optimal data performance.

As a Data Engineer, you'll collaborate with Product Owners, Architects, and Developers to build, deploy, and maintain complex applications using microservices, Node.js, and Python in an AWS environment. You'll focus on ensuring high-quality software delivery through automation, testing, and continuous integration while mentoring team members.

As an IT Data Engineer at Procter & Gamble, you will design and implement data and analytics cloud-based platforms and pipelines, ensuring data is cleansed, transformed, and published effectively. You'll partner with data managers to maintain data quality and leverage coding standards to deliver efficient services in a dynamic team environment.

The Staff Data Engineer will design and develop data platforms and pipelines, ensuring performance, quality, and service levels. This role involves leading a team of data engineers and collaborating with stakeholders to refine data core platforms, while also mentoring engineers and ensuring adherence to standards in enterprise data infrastructure.

As a Senior Data Engineer at Walmart, you will create and maintain data pipelines, refine raw data, and work closely with Data Scientists and Analysts. Your responsibilities include developing scalable data systems, ensuring data quality, and solving complex business problems through big data analytics.

As a Senior Data Engineer, you will design software architecture, analyze requirements, lead execution of business plans, and create training documentation. Your role involves driving data productization, collaborating with teams, and ensuring operational needs are met while overseeing less experienced programmers.

The Senior Data Engineer will understand and implement data strategies, transform and integrate data, analyze and develop data models, and write code for solutions. Responsibilities also include problem-solving through data-related methods and establishing data governance practices while advising stakeholders on business strategies and project recommendations.

The Senior Data Engineer will design, build, test, and deploy data solutions at scale. Responsibilities include developing data pipelines, monitoring cloud-based products, interacting with engineering teams, and contributing to open source tools. The role requires a focus on scalability and fault tolerance while ensuring data governance standards are met.

The Data Engineer will build and operationalize complex data solutions, provide technical leadership, mentor a team of engineers, and collaborate on complex data products. They will leverage Python, Databricks, and AWS to construct data pipelines that transform and utilize data for analytics and machine learning.