Top Senior Level Data Engineer Jobs
The Senior BI & Analytics Engineer will manage financial data integrity, develop dashboards using Tableau, analyze financial data for insights, and play a key role in defining KPIs in collaboration with Finance leadership.
The Data Architect will design, implement, and maintain data infrastructure to support data-driven initiatives. Responsibilities include developing data models, creating robust ETL processes, automating tasks, and ensuring data quality and governance. Collaboration with stakeholders and ongoing enhancement of data models will also be key duties.
Join Aperia Solutions as a Data Visualization Engineer specializing in Power BI. Design and develop reports and dashboards, gather business requirements, collaborate with data teams, and ensure data security compliance.
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The Head of Consumer Data & Analytics at Mattel will lead the data and analytics efforts across the Direct to Consumer and e-commerce organization. Responsibilities include creating a data-driven strategy, building a unified commerce data approach, managing a team of data experts, and partnering with global teams to ensure data integrity and governance while driving digital transformation and growth strategies.
As a Senior Data Engineer, you will implement technology strategies, develop scalable data pipelines, build API integrations, and ensure data quality for critical stakeholders. You will also influence the engineering team through code reviews and design sessions and contribute to architectural patterns for data access.
The Data Engineer will design, implement, and optimize database systems, enhancing data infrastructure while collaborating with stakeholders and Agile teams. Responsibilities include application design, coding, testing, managing engineering risks, and supporting user queries. Significant experience with data warehousing, ETL processes, and cloud data architecture is required.
The Senior Data Engineer at CoreLogic will advance and maintain data infrastructure by collaborating across teams to deploy and manage complex data pipelines using SQL, Python, and GCP. Responsibilities include developing data solutions with big data technologies, optimizing cloud resources, and maintaining documentation of data processes.
As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.
The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
The HR Data Operations Manager will oversee the integrity and quality of HR data systems, develop data standards, ensure compliance with data privacy regulations, and collaborate with various teams to enhance data management practices. Responsibilities include monitoring data quality and managing security incidents.
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