Top Data Engineer Jobs
As a Senior Data Engineer, you will lead the design, development, and optimization of complex data infrastructure and pipelines to deliver high-impact reporting, analytics, and machine learning solutions.
The Senior Geospatial Big Data Developer will be responsible for designing and implementing software solutions, resolving operational issues, and working collaboratively with end users. The role involves the use of containerization technologies and various data technologies to enhance intelligence analysis capabilities.
The Staff Data Engineer will design, build, and deploy BI solutions, translating business needs into technical specifications, and supporting data analytics platforms. Responsibilities include developing dashboards and reporting tools, defining best practices, and collaborating with various business leaders for data acquisition and insights.
As a Senior Data Engineer at Trunk, you will build scalable data pipelines, design efficient data storage solutions, and optimize distributed applications. You will work closely with customers to understand their needs and integrate AI models for analytics. The role requires a strong understanding of distributed systems and experience in building data applications.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
As a Senior Data Engineer, you will design and build a data infrastructure to support business decisions. You will manage data lifecycle, implement data integration strategies, and optimize data pipelines, ensuring performance and cost-efficiency. You will collaborate with various stakeholders and mentor team members while staying updated on emerging technologies.
The Senior Data Engineer at YouVersion will design and deliver complex data pipelines, support ETL processes, collaborate with teams, and ensure data governance. Responsibilities include driving data awareness, maintaining data quality, developing documentation, and mentoring other engineers to enhance data infrastructure and analytics.
As a Senior Data Engineer at Publicis Sapient, you will lead the development of large-scale data systems and data transformation projects. You will collaborate closely with clients to design and implement technical solutions, automate data platform operations, and mentor junior team members, leveraging a wide range of data technologies.
Featured Jobs
As a Senior Data Engineer, you will lead and deliver technical solutions for large-scale digital transformation projects, utilizing your expertise in implementing end-to-end data pipelines. You will automate data operations, conduct technical assessments, and mentor junior team members while focusing on cloud-native data platform design and integration.
The Senior Data Engineer will lead the design and delivery of large-scale data systems and pipelines, working closely with clients to develop solutions that enhance business operations. Responsibilities include automating data platform operations, mentoring junior members, and ensuring quality through technical assessments and project estimates.
As a Senior Data Engineer, you will lead and deliver technical solutions for digital transformation projects, focusing on designing and developing large-scale data systems and pipelines. You will mentor junior members, automate data operations, and ensure systems deliver business value through effective data processing and modeling.
The Senior Data Engineer will develop and manage data pipelines, analyze financial data to identify trends, enhance data quality, collaborate with cross-functional teams, and support operational efficiency through data-driven insights and reporting.
The Senior Data Engineer will enhance May Mobility's data infrastructure by building data pipelines, creating automated metric systems, and developing UIs and APIs for data access. The role focuses on providing efficient data management solutions that support the overall operations and decision-making within the company.
The Senior Data Engineer will focus on integrating data across source systems to create a robust data environment for analytics and reporting. Responsibilities include ETL work, data warehouse implementation, pipeline creation in AWS, and supporting other data engineers.
The Lead Data Engineer at CapTech will design, implement, and maintain data pipelines using cloud technologies such as AWS, Azure, and GCP, while providing technical leadership and collaborating with teams to align solutions with customer needs. They will work with various data engineering technologies and mentor junior engineers.
As a Lead Data Engineer, you will design and implement modern data pipelines, provide technical leadership, and partner with stakeholders to deliver sustainable data engineering solutions using cloud technologies such as AWS, Azure, and GCP. You will leverage your extensive experience to guide clients in best practices and utilize tools for data extraction, processing, and warehousing.
The Lead Data Engineer will design and maintain modern data pipelines using cloud technologies. They will collaborate with product owners to ensure technical solutions meet customer needs, stay current with cloud advancements, and provide technical leadership in data engineering.
As a Lead Data Engineer, you will design and implement data pipelines, manage cloud data systems, provide technical leadership, and collaborate with product owners to meet customer requirements. You will ensure best practices in delivering scalable and efficient data engineering solutions on cloud platforms.
The Lead Data Engineer will design, implement, and maintain modern data pipelines on cloud platforms, provide technical leadership, collaborate with product owners, and stay updated on cloud technologies. The role involves building highly available data systems and providing innovative solutions to client needs.
The Lead Data Engineer at CapTech will design, implement and maintain data pipelines using cloud technologies. They will serve as a trusted advisor to customers and collaborate with various teams to deliver engineered solutions. The role also involves mentoring other engineers and staying updated on cloud technologies.
The Senior Data Engineer will design, develop, and deliver data management solutions using DevOps methodologies and Microsoft PaaS platforms. Responsibilities include coding, testing, and architecting data structures, while also supporting development activities for internal and external projects, monitoring industry trends, managing deployments, and collaborating with analysts and product owners.
As a Senior Data Engineer, you'll build and maintain data pipelines, databases, and report infrastructures crucial for operational metrics and analytics. You'll ensure data integrity and support analytics needs, empowering teams across the organization with timely and accurate data. Your expertise will help enhance reporting capabilities for both internal operations and clients.
The Staff Data Engineer will design scalable datasets, implement integrations using cloud technologies, and analyze data to derive actionable insights. A key focus will be fostering collaboration with cross-functional teams, prioritizing simplicity and usability in data models, and driving business value through certified data solutions.
The Senior Data Engineer at Varsity Brands will design, build, and manage data pipelines, working with stakeholders to identify data sourcing needs and provide scalable data solutions while ensuring efficient pipelines and troubleshooting issues as they arise.
The Sr Data Engineer will be responsible for expanding and optimizing the data pipeline architecture, collaborating with business leaders to create data assets, and participate in the design of the AWS-based data platform. The role demands extensive experience with SQL and AWS technologies, and involves building analytics tools for actionable business insights.
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