Top Hybrid Data Engineering Jobs

Designs and builds technology architecture to manage and utilize structured and unstructured data. Ensures data quality and develops strategies for data acquisition and storage. Collaborates with teams to optimize data processes and adheres to data privacy regulations.

Lead Data Engineer responsible for data architecture, building scalable data pipelines, ensuring data quality, providing technical leadership, and collaborating across teams.

The Lead Data Engineer at NBCUniversal is responsible for building data engineering pipelines, optimizing cloud-based data systems, and supporting analytics initiatives. They will coordinate with teams, identify bottlenecks, ensure data quality, and document processes.

Lead technology initiatives for business problems, develop systems and procedures, evaluate challenges, and coordinate communication between teams for CCaaS migrations.

As the Staff People Analytics Architect, build analytics infrastructure, create AI-powered tools, and ensure data accuracy to enhance decision-making in HR processes.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

Lead analytics initiatives for cost optimization at GM by building data pipelines, performing exploratory data analysis, and developing predictive models. Collaborate with cross-functional teams to design data architectures, analyze data quality, and provide actionable insights to enhance profitability and performance.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

Design, build, and maintain scalable data pipelines and API integrations; implement data quality monitoring and alerting; troubleshoot data issues; collaborate with business stakeholders; support CI/CD processes and scale architecture for future needs.

As a Data Migration Engineer, you'll convert client banking data to the Q2 platform, troubleshoot issues, and manage multiple migration projects.