Top Data Engineer Jobs

Lead data conversion projects ensuring data integrity, accuracy, and accessibility. Collaborate with team and customers for requirements gathering, data mapping, and cleansing. Provide technical support and guidance to customers during data conversion process. Partner with Data Science team to improve processes and accuracy. Deliver timely response to customers and team related to data migration tasks.

The Data Analytics Engineer is responsible for designing and maintaining data pipelines, models, dashboards, and reports to facilitate data-driven decisions. They will work with various stakeholders to understand data needs and ensure reliable data solutions.

As a Principal Data Architect at Oleria, you will design and build large-scale, distributed data architectures focused on security and performance. You will work with cloud data technologies, particularly AWS, and develop efficient data ingestion and analysis systems to enhance AI-driven security insights. You will also mentor future data leaders within a collaborative, innovative environment.

The Intermediate Data Engineer will enhance data warehousing and clean room architecture, collaborate to build data models, and develop features using agile methodologies while working with various teams on requirements.

Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.

The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.

Design and implement infrastructure for training, evaluating, and deploying deep learning models for self-driving semi trucks. Develop and optimize training pipelines, track metrics, and enable continuous integration and deployment of model improvements in collaboration with cross-functional teams.