Top Hybrid Data Engineer Jobs
The Mechanical Engineer - Thermal Analyst will perform thermal and dynamic analyses for cryogenic test systems, develop finite element models, analyze mechanical and electrical systems, and lead junior engineers while mentoring and providing key technical insights.
The Data Expert/Product Owner will lead the development and management of data warehouse solutions, ensuring data integrity and availability while engaging with stakeholders to meet their requirements. Responsibilities include data analysis, documentation of business requirements, and implementing data management strategies.
The Data Engineer Senior at PNC's Enterprise Data Management Technology organization plays a pivotal role in leading data governance initiatives, designing and implementing scalable solutions, integrating systems and data sources, and collaborating with multi-disciplinary teams to enhance data quality and adapt to new technologies.
The Data Manager Senior will oversee organizational data management, ensure data strategy aligns with technology business reporting, and maintain data quality controls. This role requires collaboration with product owners to enhance data services and governance, ensuring accurate insights for senior management decision-making.
The Senior Data Engineer at Northwestern Mutual will apply engineering best practices to analyze, design, develop, deploy, and support software solutions. Responsibilities include developing software through continuous integration, participating in Agile practices, performing code reviews, and identifying data quality issues. The role requires a collaborative work environment and a strong understanding of data engineering concepts.
The Senior Data Engineer at Northwestern Mutual will apply engineering best practices to develop and support software solutions, translate business needs into data models, implement data strategies, and participate in Agile and DevOps practices. The role requires analyzing existing data systems, code reviews, and addressing data quality issues in a collaborative team environment.
Lead the Data Security organization, shaping strategies, implementing security measures, and managing a high-performing team. Engage with stakeholders, oversee compliance, and stay updated on emerging security threats while mentoring staff.
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The Manager, Data Management Operations will oversee the Supplier Management function, ensuring cohesive and efficient operations and administration. Responsibilities include compliance oversight, data tracking, KPIs reporting, and supporting various cross-functional projects. The role involves liaising with stakeholders globally to improve supplier performance and manage supply chain compliance.
The role involves developing data-intensive AI solutions for Risk Management, including data acquisition, pipeline development, transformation, staging, and governance. The candidate will collaborate with leadership, maintain APIs, and ensure data quality for analytics and machine learning applications.
The Data Manager for Risk Engineering & AI will develop data-intensive solutions to enhance decision making in risk management, focusing on data acquisition, pipeline development, transformation, governance, and collaboration with AI/ML teams to implement production-level data processing solutions.
The Data Manager will develop data solutions for Risk by collaborating with leadership to drive data-driven decisions. Responsibilities include data pipeline development, transformation, modeling, storage, API development, collaboration with AI/ML teams, and implementing data governance practices.
As a Software Engineer focusing on Machine Learning Infrastructure at Snap Inc, you will design and implement solutions to enhance the company's core products. Your role involves working on systems that support machine learning applications, collaborating closely with cross-functional teams to improve user experiences.
The Software Engineer will work on machine learning infrastructure to enhance Snap's core products, contributing to innovations in augmented reality and messaging technologies. Responsibilities include developing and optimizing machine learning systems, collaborating with diverse teams, and engaging in dynamic in-office collaboration.
As a Staff Software Engineer for Machine Learning Infrastructure, you will develop scalable machine learning workflows and backend infrastructure for training, evaluation, and inference, while managing data systems and collaborating with product teams to enhance Snapchat's capabilities.
As a Senior Data Engineer, you will enhance data integration pipelines and maintain data quality within data lakes and warehouses. Collaborating with team members and stakeholders, you'll optimize data transformations and ensure the efficiency of systems. You'll also participate in code reviews and uphold coding standards while ensuring infrastructure security and data integrity.
The Senior Analytics Engineer will create data marts, work with data engineers and stakeholders for data insights, and develop high-visibility reports and dashboards. They will leverage analytical techniques to improve decision-making within the company while ensuring data quality and accessibility.
The Sr Manager of Data Engineering oversees the translation of business requirements into program designs, leading engineering teams to develop and implement data and BI solutions. Responsibilities include guiding problem resolution, project planning, ensuring best practices in testing and deployment, and collaborating with data science for model deployment.
As a Sr Manager of Data Science, you will lead a team to develop and execute data science projects, employing analytics to enhance customer experiences and drive product innovations in retail technology. Your role will involve collaboration with various stakeholders, establishing product visions, and analyzing data to generate actionable insights.
The Facilities Systems & Data Analysis Staff is responsible for partnering with various stakeholders to develop solutions for the Facilities Directorate, analyze technical requirements, design effective processes, and optimize system resources across multiple technical areas.
The Senior Database Engineer will build and maintain highly available relational database systems across cloud and on-premise environments, applying software engineering principles to enhance operational efficiency and reliability, and ensure database infrastructure is available 24/7.
The Senior Database Engineer will build, deploy, and maintain highly available relational database systems across cloud and on-premise environments. Responsibilities include leveraging software development for database infrastructure, performing performance tuning, and ensuring 24/7 availability of services.
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