Top Hybrid Data Engineer Jobs

The Associate Director will lead the omnichannel data acquisition efforts, manage relationships with data suppliers, ensure data governance, negotiate contracts, and collaborate with teams to improve data efficiency and effectiveness while driving organizational change.

The Conjunction Assessment Risk Analysis (CARA) Program Analyst Systems Engineer will assess conjunction risk for uncrewed spacecraft, working on analysis, software development, and systems engineering. Responsibilities include conducting technical analyses, engaging with NASA, and defining the strategic direction for CARA efforts.

As a Data Engineering Specialist, you'll design, develop, and maintain efficient data pipelines and platforms for analysis and reporting, collaborate with various teams to implement cutting-edge data solutions, and architect data infrastructure to drive mission-critical decisions for aerospace and its customers.

The Machine Learning Engineer at Quantum Rise will develop and implement advanced machine learning models and solutions, collaborate with cross-functional teams to deliver AI-driven results, and ensure models are production-ready. Responsibilities include designing data pipelines, conducting performance experiments, and staying current with industry trends.

As a Senior Data Engineer at Capital One, you will collaborate with Agile teams to design, develop, and support technical solutions, utilizing various programming languages and cloud-based services to transform data into valuable insights, while also mentoring fellow engineers and keeping abreast of emerging technologies.

As a Senior Manager of Data Engineering at Capital One, you'll lead a team to develop and support technical solutions using full-stack tools. Responsibilities include designing and implementing data solutions while mentoring team members and collaborating with product managers for robust cloud-based solutions.

As a Senior Data Engineer at Capital One, you will design, develop, and support technical solutions in an Agile environment. You'll collaborate with developers, work on big data technologies, and contribute to cloud-based solutions that enhance customer experiences. Your role will involve integrating programming languages and performing code reviews to ensure high-quality deliverables.

The AI ML Senior Associate at JPMorgan is responsible for designing and developing machine learning models to enhance customer experiences in the card business. The role involves collaboration across departments, leveraging machine learning technologies, and communicating insights to management. Key tasks include implementing models and ensuring their fairness and explainability.

The Lead Data Engineer at Disney Entertainment & ESPN will develop and enhance feature store tooling, collaborate on building streaming data ecosystems, and support event-driven ML pipelines within a cross-functional team. Responsibilities include driving innovation, maintaining quality standards, and working in an Agile environment to improve ML infrastructure.

The Analytics Engineer will develop and maintain scalable data models and pipelines crucial to financial operations. They will ensure data integrity, partner with finance teams for data reconciliation, and implement testing frameworks while applying software engineering best practices.