Top Hybrid Data Engineering Jobs

Build and administer data workflows, develop data pipelines using big data tools, and enhance financial analytics performance in a big data ecosystem.

The Director of Data Engineering will lead teams to build scalable data products, collaborate on automation and machine learning, and modernize data platforms.

The Lead Data Engineer will design, develop, and support technical solutions, collaborating with Agile teams to deliver cloud-based data solutions and utilizing various programming languages and big data technologies.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

The Senior Data Engineer will design data models, build and manage ETL pipelines, contribute to data governance, and explore integrations with AI. Responsibilities include collaboration with teams to ensure data quality and consistency.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

As a Senior Data Engineer, you'll deliver high-quality data platforms, implement new features, maintain functionality, conduct code reviews, and collaborate with teams to meet requirements.

The Senior Data Engineer will develop and maintain a high-quality data platform, implementing features, performing code reviews, and collaborating with teams to meet requirements.

As a Senior Data Engineer, you'll develop and maintain a robust data platform, collaborate on software solutions, and ensure code quality while working with modern data architectures and Agile methodologies.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

Owner-operator for data processing automation: audit and redesign workflows, prototype scripting and low-code automations, configure client workflows, and translate messy private-markets data into clear technical requirements for the Data team.

As a Lead Data Engineer, you will design scalable data platforms, optimizing pipelines, defining data models, and guiding data integration while collaborating with cross-functional stakeholders to align strategies with business goals.

The EDI Analyst designs, implements, and supports EDI systems, manages integrations, and resolves issues, enhancing data exchange efficiency.