Top Senior Level Data Engineer Jobs in Washington DC,

The Data Architect at Sunnova is responsible for developing data collection, modeling, and integration strategies. This includes designing data pipelines, managing Snowflake data warehouses, and integrating data from Salesforce. The role involves optimizing data storage, ensuring data quality, and collaborating with analysts and scientists to support data-driven decision-making.

As a 2nd VP and Actuary, you'll direct interest rate and liquidity risk management, optimize ALM and capital analytics strategies, and drive economic capital planning while collaborating with various teams. This role focuses on strategic financial decision-making with a heavy emphasis on risk management and financial modeling within the organization.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.

As an Azure Data Architect, you will deliver innovative data solutions tailored to client needs, including designing and implementing analytical approaches, leading multi-disciplinary tech teams, and ensuring high-quality data products. You will also build a Data Engineering community and collaborate on data architecture with client teams.

The Data Engineer will work closely with software engineers to aggregate various data sources and develop actionable dashboards for business leaders at a premier banking client.

The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.

The Database Engineer at sFOX will design, build, and maintain high-volume RDBMS systems for real-time trading applications. The role involves collaborating with software engineers, resolving complex database issues, and enhancing data management standards. Strong knowledge of MySQL and experience in transaction-heavy systems are crucial.