Top Data Engineer Jobs
The Manager - Systems, Tools, and Data Management role involves defining and introducing globally standardized best practices for Supplier management systems, tools, and data management. Responsibilities include driving digitalization, ensuring data quality, implementing solutions on time, and leading cross-group implementation projects.
Responsible for defining and driving data governance within the Finance organization. Partnering with leaders and process owners to implement data policies and standards, drive vision and strategy for elevating data as a critical enterprise asset, establish relationships with finance and technical teams, develop financial data quality metrics, manage data governance policies, maintain knowledge of financial applications, develop data capture strategies and automation, and maintain a data dictionary of key Finance data attributes.
Responsible for defining and driving data governance within the Finance organization. Partnering with leaders and process owners to implement data policies and standards, ensuring data quality and consistency across financial applications.
Senior Machine Learning Modeler role at Cash App's Financial Crimes Technology team. Responsibilities include building classification models, leveraging diverse data sets, deploying AI solutions, and collaborating with stakeholders. Requires 4+ years of ML modeling experience and a Bachelor's degree in a related field.
Featured Jobs
Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
Seeking a Senior Machine Learning Engineer to join the team in building, scaling, and innovatively developing an industry-leading platform for access control and office automation. Responsibilities include building tools and data pipelines, optimizing algorithms, collaborating with cross-functional teams, and conducting research on cutting-edge areas of Machine Learning.
As a Sr. Database Engineer at Vertafore, you will be responsible for database engineering, administration, design, development, and support applications available systems. The role involves enhancing automation processes of the database and collaborating with stakeholders to meet their database needs. You will work on high-profile projects and contribute to IT projects throughout their lifecycle. Technical skills in SQL Server, PostgreSQL, MongoDB, DevOps, and AWS are essential for this position.
Seeking a highly motivated Oracle DBA with strong development background for production support and full-lifecycle implementation. Responsibilities include database support, performance tuning, backups, and upgrades. Must have good analytical and communication skills. Requires at least 3 years of experience.
Seeking an experienced Data Solutions Engineer to work with big data technologies in analyzing client data, maintaining data quality services, and influencing technical decisions. Requires strong Python and SQL skills, along with experience in various programming languages and distributed systems.
As an Associate Data Science Engineer at PrizePicks, you will be responsible for developing and maintaining streaming data and MLOps infrastructures to enable real-time priced markets within the product. You will collaborate with various teams to ensure data reliability, model output quality, and scalability.
The Senior Data Scientist at Sensor Tower will leverage digital advertising knowledge to drive strategies for the Digital Marketing insights solution. Responsibilities include developing data modeling algorithms, consulting on AI use, and acting as a subject matter expert for digital advertising.
Senior Data Scientist role at Sensor Tower focusing on developing data modeling algorithms, consulting on AI usage, and acting as a subject matter expert for digital advertising. Requires 4 years of experience in ad-tech/mar-tech industry and expertise in Python, Ruby, AWS, and statistical visualization tools.
Collaborate with Agile teams to design, develop, and support technical solutions using full-stack development tools and technologies. Utilize programming languages and cloud-based data warehousing services to drive a major transformation within Capital One.
Support the design and development of scalable data architectures and systems, build and optimize data pipelines, collaborate with cross-functional teams, implement testing and validation processes, and use modern technologies for data pipelines supporting Machine Learning and Artificial Intelligence.
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