Top Hybrid Data Engineer Jobs

The Sr. Scientist in the Data Management and Analytics Group will collaborate on a multi-disciplinary team to implement data-driven solutions, develop predictive models, analyze diverse information, and enhance decision-making through advanced analytics strategies.

The Sr. Scientist will drive data-driven decision-making by applying Data Science techniques, building predictive models, analyzing large datasets, monitoring model effectiveness, and collaborating with cross-functional teams to solve complex business problems.

As a Senior Data Engineer, you will design and maintain robust data pipelines, integrate data into a Data Warehouse, optimize SQL queries, manage data models, and ensure data security. You'll collaborate cross-functionally to troubleshoot data-related issues and provide technical leadership within the team.

As a Staff Software Engineer, you will enhance the Data & Analytics platform, leading technical projects that improve its scalability and resilience. You will also mentor engineers, guide architectural decisions, and collaborate with various teams to meet product growth needs.

The Analyst will support the Global Information Security, Data Privacy, and Management Audit by facilitating security assessments, monitoring findings, maintaining records in ServiceNow, developing documentation, and engaging with HR and IT partners. Responsibilities also include preparing presentations and assisting with data collection.

As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms for Disney's streaming platforms, collaborate with cross-functional teams, maintain existing algorithms, and improve personalization strategies to enhance user experiences.

The Lead Machine Learning Engineer will focus on developing and optimizing algorithms for Hulu's recommendation and personalization systems. Responsibilities include collaborating with product and data teams, maintaining existing models, and establishing best practices in algorithm development and deployment.

The Senior Machine Learning Engineer at Capital One will design and implement machine learning models and systems, collaborate with cross-functional teams, optimize ML applications, and ensure high performance and availability of deployment. Responsibilities include data pipeline construction, ML model monitoring, and leveraging cloud technologies.

The Senior Machine Learning Engineer at Capital One will design, develop, and implement machine learning applications in an Agile environment. Responsibilities include collaborating with product and data teams, constructing optimized pipelines, and deploying models to ensure high performance and availability. The role also involves maintaining and monitoring models in production and upholding best practices in ML development.

As a Senior Associate Data Scientist, you will collaborate with a team to develop tools for credit risk management, leveraging machine learning and big data to extract insights and improve decision-making. You will build and implement machine learning models, while translating complex data into business goals.

As a Business Technology Solutions Associate, you'll collaborate with internal and client teams to design and implement high-quality data governance solutions and support technology transformations. You'll translate business challenges into technical requirements, manage deliverables, and communicate results effectively, fostering operational improvements across diverse projects and teams.

The Business Technology Solutions Associate will collaborate with internal teams and clients to implement data governance solutions, translate business challenges into technical requirements, and support project delivery including planning, management, and communication. The role requires strong consulting and technology skills and an ability to work with diverse teams across various projects.

Collaborate with teams to implement high-quality data governance solutions, support clients in identifying business challenges, interpret business requirements for development teams, and take responsibility for project deliverables. Communicate results and support project leads in planning and risk mitigation while working with diverse skill sets.

As a Senior Associate Data Architect at PwC, you will design and build data infrastructures, develop data pipelines, and ensure data governance. This role emphasizes building client relationships, leading data strategy engagements, and leveraging cloud technologies to meet data needs while optimizing resource management.

As a Senior Associate Data Architect at PwC, you will design and develop data architectures to transform raw data into actionable insights, ensuring compliance with data governance and security. You will develop data pipelines, integrate systems, and lead client engagements while mentoring peers and enhancing technical skills. Your role includes evaluating new technologies and implementing scalable cloud-based solutions.

The Data Architect at PwC will design and implement data architecture strategies, develop data models and pipelines, and ensure compliant, secure data solutions across various cloud platforms. Responsibilities include collaborating with stakeholders, leading data strategy engagements, and optimizing cloud resources for performance and cost.