Top Hybrid Data Engineering Jobs

As a Lead Data Engineer, you'll design and implement full-stack technical solutions, collaborate across Agile teams, and leverage big data and cloud technologies to deliver personalized customer experiences.

Lead Data Engineer role focused on building data solutions, collaborating across Agile teams, utilizing big data and cloud technologies, and mentoring team members.

The Senior Manager, Data Engineering oversees data engineering efforts, focusing on intelligent foundations and experiences. They are responsible for leading teams and optimizing data solutions.

The Actuarial Data Consultant will design and implement data models for actuarial processes, analyze datasets, and support data transformation within insurance contexts.

As a Data Engineer at DISQO, you'll design and develop data pipelines, collaborate with teams, and optimize data processes using modern technologies, focusing on building scalable data products.

Lead design, implementation, automation, and maintenance of large-scale ETL pipelines and scalable data solutions. Translate business questions into data requirements, validate and test datasets, mentor junior engineers, collaborate with analytics and stakeholders, and ensure robust, production-ready data solutions across global clients.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

The Lead Data Migration Specialist enhances system automation and accuracy, handling data collection, analysis, and onboarding. They resolve discrepancies, implement optimizations, and collaborate with development teams, ensuring efficient data management and continuous service improvement.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Analytics Engineer will build data infrastructures, create dashboards, define metrics, structure datasets for AI projects, and foster insights across company functions.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

This role involves designing and implementing technical solutions for enterprise systems like SAP, translating business needs into functional designs, and ensuring system performance.