Top Remote Data Engineer Jobs
The Support Engineer will manage day-to-day operations of scan data processes, submit and correct files, ensure smooth system performance, troubleshoot issues, and develop scripts using Node.js and SQL. Attention to detail and excellent documentation skills are essential.
The Data Management Specialist will manage enrollments in energy efficiency programs, maintain customer confidentiality, process orders, and coordinate with departments to ensure accurate order fulfillment. The role involves data management, document processing, and problem resolution, ensuring data quality standards and large dataset management.
As a Data Engineer at Qarik, you will design and implement production-quality ETL pipelines, manage data lakes, and create insightful reports and dashboards. Your role involves collaborating with clients to understand their data objectives and employing tools like Databricks and Python for effective data strategies. You will also communicate technical concepts to diverse audiences and ensure optimal performance in data processing.
Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.
The role involves designing, implementing, and managing data engineering solutions with a focus on Generative AI. Responsibilities include data modeling, working with cloud services, and applying machine learning concepts using various AI/ML frameworks. The candidate should also handle unstructured data and integrate MLOps practices.
The Manager of AI and Data Engineering will lead a team of data engineers and scientists, build real-time data pipelines, and apply advanced technologies for AI research. Responsibilities include partnering with teams to ensure quality data management and advising leadership on data strategies, while also driving innovation and best practices in AI.
The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.
The Sales Business Intelligence Analyst will design, develop, and maintain BI solutions to support decision-making. Responsibilities include developing reports and dashboards, collaborating with stakeholders, and improving reporting tools in alignment with business needs.
The Associate Director, Data Analytics will lead the Data Analytics team, ensuring quality service for TMC members through data visualizations, analysis, and strategy. Responsibilities include setting team priorities, managing staff, coordinating member-facing product development, and implementing best practices in data management.
The Compliance Analyst (Privacy) will support the DHS by managing and enforcing compliance with privacy laws. Key responsibilities include drafting compliance documents, developing privacy policies, training staff, and identifying risks to enhance existing compliance programs.
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