Top Data Engineer Jobs

As a Lead Oracle CPQ Developer/Analyst, you will architect and implement CPQ solutions, enhance sales processes, and collaborate with cross-functional teams. Responsibilities include designing configurations, integrating with Salesforce and ERP systems, and mentoring junior team members. You will ensure stable and efficient CPQ environments and support Continuous Improvement Projects.

The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.

As an Analytics Engineer at Givebutter, you will design and implement a data model for analytics, build and manage data pipelines, integrate various data platforms, and ensure data governance. Your role requires collaboration with stakeholders to meet short and medium-term data needs while maintaining high data quality and integrity.

As a Data Entry Specialist at FreeUp, you will manage data tasks efficiently, utilizing tools like Excel and Google Docs. You will work remotely, setting your own schedule while ensuring timely client communication and support. The role requires strong data management skills and a commitment to quality work.

The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.

The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.

The Data Engineer will focus on IoT data pipelines, working to curate and publish data for operational and analytical uses. Responsibilities include debugging data issues and enhancing data value for machine learning models. The role requires relationship building and adaptability to a dynamic environment.