Top Hybrid Data Engineering Jobs

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

The Data Engineer will design and build scalable data systems, support AI/ML integration, and collaborate across teams for the development of Canoe's Alts Data Platform.

Develop, implement, and maintain enterprise ETL pipelines and scalable data solutions. Optimize SQL and database processes, validate data, automate routine tasks, and collaborate with global teams to deliver accurate, timely data for Test & Learn products.

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.

Design, build, and operate scalable ETL/ELT pipelines ingesting data from APIs, queues, databases and files. Implement transformations, data quality, monitoring, and support batch and near-real-time use cases while collaborating with analytics and AI teams.

Design, build, and optimize OLAP/analytical data platforms, including dimensional models, materialized views, and semantic layers. Improve query performance and scalability, partner with ETL teams, support BI/observability/AI teams, implement data quality checks, and contribute to analytics standards and documentation.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

The Senior Lead Data Engineer will design, develop and support technical solutions, lead teams, and utilize various programming languages and cloud services to solve complex business problems.

The role involves developing and deploying advanced quantitative models, utilizing machine learning and cloud solutions, and collaborating with various business lines to enhance financial processes.

As an Analytics Engineer at Copia, you'll automate GTM operations, build BI infrastructure, advise leadership with data analysis, and design internal AI applications.

The role involves designing data pipelines, developing metrics and visualizations, collaborating with teams to track product KPIs, and ensuring data integrity within a cybersecurity environment.

Lead design, build, and maintain scalable data pipelines and warehouses. Drive technical roadmap, mentor engineers, implement data quality/testing/monitoring, optimize performance and cost, and collaborate cross-functionally to ensure reliable data for BI, ML, and applications.