Top Data Engineer Jobs

As a Senior AI Data Engineer at Fora, you will lead the development of scalable AI products, build custom data pipelines, collaborate with cross-functional teams, and refine existing AI solutions to improve user productivity. You will leverage your expertise in AI and software engineering to create impactful data infrastructures and products.

As a Data Engineer, you will optimize data architecture, ensure data accuracy, and build scalable solutions. Responsibilities include managing data feeds, developing processes for efficiency, and maintaining ETL workflows. You will support business continuity and work with BI reporting platforms.

The Data Engineering & Science Lead will optimize property management systems through the development of ETL processes, advanced analytics, and data pipeline development. Responsibilities include driving business insights, supporting integrations with property management systems, and mentoring junior team members in data engineering best practices.

As a Data Engineer, you will design and maintain scalable data pipelines using Java and Spark, optimize SQL queries, and implement solutions with Snowflake. You'll collaborate with teams to understand data requirements and ensure efficient data processes, and may develop visualizations with Tableau.

The Data Analytics Software Developer will provide development support for data management systems and applications, focusing on data integration from various sources. Responsibilities include coding, developing applications using Qlik for data visualization, and ensuring software compliance with security standards in governmental networks.

The Senior Data Engineer at onX is responsible for creating and maintaining the data ecosystem to enhance data discoverability. Responsibilities include designing scalable data pipelines using GCP services, developing data models, optimizing data processing for performance, ensuring data quality and security, and collaborating with cross-functional teams for effective data solutions.

The R&D Data Assistant will support the research and development team by collecting, organizing, and annotating data while collaborating on innovative projects. Responsibilities include managing physical samples and assisting in experiment setups, ensuring high accuracy in data processes.