Top Hybrid Data Engineer Jobs

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.

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

Lead predictive model development and MLOps practices to enhance product performance, collaborate with cross-functional teams, and mentor junior data scientists.

As an Analytics Engineer at MoonPay, you'll build data models, support finance functions, and collaborate with various teams to track crypto and fiat movements and perform analysis.

The Senior Mainframe IMS Database Administrator oversees maintenance, design, and performance of client databases in IMS environments, ensuring optimal efficiency and recovery strategies.

As a Data Engineer at Figma, you'll build and maintain scalable data pipelines, optimize data models, and collaborate with teams to ensure timely data delivery.

The Head of Data Science will oversee data integrity, architecture, and modeling, leading a team to integrate data into workflows and support product teams with real-time decision-making.