Top Hybrid Data Engineering Jobs

The Data Migration Engineer migrates customer data into SaaS products, ensuring data quality and business continuity while collaborating with teams and managing customer requirements.

The Senior Analytics Engineer will build and maintain data models, ensure consistent KPIs, and drive self-service analytics, partnering with multiple business teams to enhance data usage.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

The Senior Analytics Engineer will manage the analytics layer, owning dbt projects, orchestrating data pipelines, defining metrics, and ensuring data quality while mentoring the data team.

As a Senior Data Engineer, you will develop and maintain a high-quality data platform, collaborate with teams, implement features, and ensure code quality in financial services.

The role involves designing and maintaining ETL/ELT pipelines, integrating diverse data sources, automating Fabric environments, and collaborating with global teams on data solutions.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

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 real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Senior Data Engineer will develop scalable data pipelines, drive automation, enforce standards in Big Data, and collaborate with stakeholders on data solutions.