Top Hybrid Data Engineer Jobs
Design and build data pipelines to support machine learning systems, develop ETL processes, maintain high-quality data pipelines, design data models, collaborate with stakeholders, and ensure data compliance with regulations.
The Senior Data Engineer will support the Department of Defense by optimizing large-scale data pipelines and cloud infrastructure. Responsibilities include automating data transfers, maintaining security and health of data systems, and collaborating with functional groups to address client challenges and enhance data accessibility and analytics capabilities.
The Vice President of Data and Innovation will drive data product development and AI initiatives, optimizing data solutions and establishing a data-driven culture across the organization. Responsibilities include leading a global data team, implementing data governance practices, and utilizing insights to guide product innovation and strategic growth.
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The Salesforce and Power BI Reporting Analyst is responsible for creating and managing reports and dashboards in Salesforce and Power BI. This role involves collaborating with various departments to gather reporting requirements and deliver insights through data visualizations, while also managing Salesforce data and ensuring seamless data integration.
As a Big Data Architect at AiDash, you will enhance and scale data pipelines for satellite imagery and enterprise data, ensuring efficient ingestion, storage, and processing to support business needs. You'll collaborate with data science and engineering teams to tackle challenges and improve data systems.
The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.
The Senior Software Engineer will create and maintain data processing pipeline architecture, build infrastructure for data extraction and transformation, analyze complex data sets, and support stakeholders with data-related issues, primarily using Python, SQL, and AWS technologies.
The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.
Lead and manage a team of data engineers to develop innovative data solutions, optimize data pipelines, and drive business insights. Collaborate with cross-functional teams to ensure data engineering efforts align with company goals. Oversee migration to modern cloud-based infrastructure and foster a culture of continuous improvement.
The Data Architect will be responsible for designing, implementing, and optimizing data solutions to support business needs. Responsibilities include evolving data infrastructure, architecting data systems, maintaining data pipelines, establishing data governance, and mentoring team members.
Top hybrid Companies Hiring Data + Analytics Roles
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