Top Hybrid Data Engineer Jobs

The Senior Application Engineer will design and optimize Adaptive Planning solutions, lead technical initiatives, and resolve critical production issues while providing support to junior engineers and collaborating with business stakeholders.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

Lead a team of data scientists to solve complex problems in finance using AI and ML. Drive innovative analytical frameworks and mentor staff.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

The position is a two-year rotational program for new graduates to work across technology teams, focusing on data processing, application development, and AI.

As a Data Developer, you will create reliable ETL processes, design data warehouses, and develop reports while ensuring data quality and security.

The role involves leading ETL workflows and data integration for a pharmaceutical client, designing data solutions, optimizing performance on Snowflake, and collaborating with stakeholders to drive business value through data.

Lead the design and implementation of scalable data infrastructure and products. Collaborate with cross-functional teams to address complex data challenges and drive engineering best practices.

The Growth Data Engineer will manage data infrastructure, build ETL pipelines, ensure data reliability, and collaborate across teams to enhance data-driven growth strategies.