Top Data Engineer Jobs
The Associate Principal of Data Analytics Engineering will expand OCC's analytics capabilities by making internal data accessible for analysis. Responsibilities include designing analytics data warehouse solutions, automating data processes, integrating multiple data sources, building data models, and promoting data literacy among business users.
The Associate Principal, Data Analytics Engineering will lead efforts to enhance OCC's analytics capabilities by managing internal corporate data and its accessibility for analysts. Responsibilities include designing and building an analytics data warehouse, automating data processes, integrating data from various sources, ensuring data quality, and creating data visualizations. The role requires collaboration with business and technical teams to enable data-driven decision-making and promote data literacy. The ideal candidate should have strong communication skills and a commitment to continuous learning in data analytics best practices.
Lead the data engineering team at The Walt Disney Company, developing and maintaining data architecture. Oversee scalable data models and warehouses, streamline workflows, and implement data transformation pipelines. Collaborate across the organization for data-driven decision-making while leading a high-performing team.
As a Lead Database Engineer, you'll join the Data Stores team to build and maintain resilient relational database systems. Responsibilities include designing automation for database infrastructure, ensuring 24/7 availability, and enhancing performance while adhering to engineering standards.
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.
As a Machine Learning co-op, you'll work on developing and deploying machine learning algorithms to automate administrative clinical practices. You'll be part of an agile team, contributing to feature design, testing, and delivery of ML models, while collaborating with various stakeholders.
Featured Jobs
As a Machine Learning Engineer, you will develop predictive models for manufacturing processes, work with data mining, clean data, and deploy machine learning models. You will collaborate closely with engineering teams and utilize both structured and unstructured data to enhance production systems.
The Staff Machine Learning Engineer will lead the development of a marketing experimentation platform, working with cross-functional teams to design scalable ML products for optimization and ROI measurement. Responsibilities include system architecture, stakeholder collaboration, and improving ML engineering practices.
As a Technology and Data Solutions Associate, you will engage with teams to apply data analytics and technology in transactions, assisting clients in mergers and acquisitions while leveraging innovative solutions and maintaining compliance.
As an Associate in the Technology and Data Solutions practice at PwC, you will aid organizations in leveraging technology and data for effective deal transactions. Responsibilities include analyzing data, collaborating with team members, and suggesting improvements while upholding compliance standards. Your role supports the firm's commitment to values-driven leadership in achieving successful outcomes in mergers and acquisitions.
As a Technology and Data Solutions Associate, you will assist with mergers and acquisitions by leveraging technology and data analysis. Your responsibilities include problem-solving, collaborating with team members, managing and analyzing data, and upholding compliance and ethical standards.
As a Senior Data Analytics Engineer, you will collaborate with various stakeholders to design and maintain data models, automate requests, and deliver BI-ready datasets. This role involves ensuring data quality, building dashboards and reports, and implementing best practices in a hybrid work environment.
As a Staff Data Engineer, you will manage GRAIL's data lifecycle, focusing on ETL pipeline development, data integrity, compliance with regulatory standards, and collaboration with cross-functional teams to support clinical and research programs.
The Staff Data Science Tech Lead will develop and implement machine learning algorithms using large-scale models to analyze WHOOP data for health and fitness insights. Responsibilities include mentoring junior scientists, collaborating with clinical teams, and maintaining production services in partnership with MLOps engineers.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
As a Staff Quality Engineer at Celonis, you will ensure high-quality product delivery by implementing effective testing strategies, including automation. You'll collaborate with cross-functional teams to enhance test coverage, mentor team members, and optimize tools and processes for better quality assurance. Your role combines manual testing with automation, focusing on customer satisfaction and quality metrics.
Top Companies Hiring Data Engineers
See All
.jpg)
.jpg)
Popular Job Searches
All Data & Analytics Jobs
Analysis Reporting Jobs
Analytics Jobs
Business Intelligence Jobs
Data Engineer Jobs
Data Science Jobs
Machine Learning Jobs
Data Management Jobs
Business Analyst Jobs
Business Systems Analyst Jobs
Compliance Analyst Jobs
Data Analyst Jobs
Database Administrator Jobs
GIS Analyst Jobs
Machine Learning Engineer Jobs
Research Associate Jobs
Supply Chain Analyst Jobs
Systems Analyst Jobs
All Filters
No Results
No Results
