Top Remote Senior Level Data Engineer Jobs in Washington DC,

Senior Data Engineers are responsible for coding in Scala and C#, developing APIs and ETL pipelines, and optimizing processes for data-driven solutions in Azure. They ensure productivity and guide junior engineers while fostering a strong team culture. Proficiency in big data technologies and DevOps practices is essential.

The Oracle Banner Database Administrator is responsible for supporting Oracle databases and related tools for multiple clients, managing updates and patches, conducting database tuning and optimization, and providing technical leadership for Ellucian Banner products in a higher education context.

As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve data technologies including ETL processes and data pipelines. Your role will involve working with AWS and tools like Airflow and PySpark to create automated data solutions, develop data products, and ensure data quality and governance.

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.

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 Staff Data Engineer at Wellth will design scalable data systems to process healthcare data, enabling advanced analytics and predictive modeling. They will lead the development of data pipelines, manage data sources, enhance data quality, and collaborate with various teams to align data strategies with business objectives.

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.