Top Hybrid Data Engineering Jobs

Design, build, and maintain scalable data pipelines and technical solutions using AWS, PySpark, and Cloudera. Lead modules, translate business needs into technical designs, manage delivery, mentor team members, and support project planning, testing, deployment, and operations.

The Data Analytics Engineer will develop data models, perform data wrangling, and create dashboards to drive insights for business decisions at Bose Corporation.

Design, build, and maintain scalable data pipelines integrating diverse sources into analytics platforms. Own projects, standardize pipeline tooling, implement automated data tests, ensure security/PII handling, support on-call troubleshooting, and mentor team members to enable reliable, production-grade data delivery.

As a Staff Data Engineer, you will lead data engineering initiatives, architect and build scalable data pipelines, and mentor teams, enhancing Crunchyroll's data infrastructure within AWS and GCP environments.

Lead architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

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.