Top Remote Data Engineer Jobs

The Data Engineer III is responsible for architecting and maintaining scalable tooling and infrastructure for data management, including building automated data pipelines and managing data storage. The role involves collaborating with Data Scientists for model improvements and ensuring data quality and availability, while also coaching teams on data-driven decision making.

The Principal Data Architect at SpyCloud will modernize data pipelines, optimize costs for large-scale data operations, and design robust streaming architectures using AWS technologies. The role involves leadership in architectural practices, documentation, mentorship of junior engineers, and collaboration with Product Management to align data strategies with company goals.

As a Data Engineer at Demyst, you will build data-driven solutions for financial institutions, leveraging external data and innovative datasets through the company's proprietary software architecture and cloud infrastructure. Responsibilities include data analysis, ETL, API development, and collaborating with stakeholders to deliver insights that meet business objectives.

The Staff Data Engineer will collaborate with data analysts and scientists, building and managing data pipelines, designing databases, and driving data-driven decision-making across departments. Responsibilities include improving development processes and mentoring junior staff while engaging in impactful projects.

The Sr. Data Engineer in this role will design, develop, and integrate large-scale data applications on Google Cloud Platform, lead data pipeline automation and testing, and drive innovative data solutions for reporting and analytics while ensuring quality in an Agile environment.

The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.

The Data Engineer will develop and implement ETL processes, design data warehouse solutions, write SQL/NoSQL queries, and maintain data systems within a small team. Responsibilities include owning features from development to production and evolving the technology stack.

As a Principal Data Engineer at Material Bank, you will design scalable database systems for an eCommerce catalog, emphasizing BOM management and decentralized data ownership. Responsibilities include creating data models, developing ingestion pipelines, and ensuring data quality across multiple platforms. You will also lead the development of a self-serve data infrastructure for domain teams to autonomously create and manage data products.