Search the 13 jobs at Caterpillar

The Data Modeler - Lead at Caterpillar Inc. will lead teams in data quality, design, metadata management, and governance. They will be responsible for creating data management strategies, ensuring compliance with data standards, and designing scalable databases and ETL solutions.

The Lead Data Scientist at Caterpillar Inc. will be responsible for directing data gathering and processing, defining data analysis requirements, conducting research on data models, coaching junior data scientists, and applying analytical techniques to solve business problems.

Analyzing business problems using data from internal and external sources to provide insights and support decision-making. Designing and developing business intelligence tools to streamline processes and facilitate growth strategies. Serving as an expert in Tableau extensions and visualization tools. Coordinating with offshore teams to drive development in an Agile format.

Contribute to the design and development of digital applications at Caterpillar Inc. Provide technical leadership in UI technology standards, work in an agile methodology, collaborate with project teams, mentor junior members, and optimize design for performance and scalability.

Design, develop, and code front-end/user interface software solutions for applications used by Caterpillar technicians, dealers, and analysts worldwide. Drive application development to deliver valuable business features while maintaining high standards of software quality. Communicate with end users to ensure accuracy and completeness of application software.

Lead Software Engineer at Caterpillar Inc. focusing on data quality evaluation, analytics, visualization, and dashboard design. Responsibilities include data design, quality metrics, metadata management, and technical leadership in medium to high complexity projects.

Cat Digital's Advanced Diagnostics team is seeking a Senior Data Scientist to lead projects using various data domains and collaborate with other teams to maximize the value extraction of digital products and services. Responsibilities include leveraging data science methods to gain insights, optimize business value, and mentor junior data scientists.

As a Senior Data Engineer at Caterpillar Inc., you will be responsible for developing Python data pipelines to support applications. Key responsibilities include software development, project management, and implementing CICD pipelines. Top candidates should have 8+ years of software development experience, expertise in Python, and strong communication skills.

Contribute to design, development, and deployment of Caterpillar's state-of-the-art digital platform. Work on complex systems and infrastructure components independently. Drive application development and maintain high software quality standards within the team. Guide team for improvement and growth opportunities. Develop TDD compliant reusable component testing framework in Java and Python using Cucumber.

Provide technical leadership in solution development, implementation, and support for Caterpillar's Google Marketing & Analytics Platforms. Responsible for site development team coordination, advanced implementations of Google Analytics, auditing, troubleshooting, reporting, dashboards, and education to improve clients' digital marketing initiatives. Act as an advocate for quality Google Analytics data collection and provide best practice guidance for technical implementation aspects.

Seeking a Senior Data Specialist at Caterpillar Inc. responsible for data quality, design, metadata management, and data governance of digital offerings. Must have 5 years of experience in Data and Analytics with expertise in Alteryx, Collibra, AWS, SAS, and SQL. Master's degree in Computer Science or related field required.

The Senior DevOps Engineer at Caterpillar Inc. is responsible for contributing to the design, development, testing, and deployment of software systems and applications. They work independently on complex systems, drive application development, and maintain high standards of software quality within the team.

Maintain financial accountability for cloud services, optimize infrastructure expenses, and identify cost-saving opportunities. Engage in cost savings and establish a long-term cost-saving process through efficient cloud architectures and infrastructures.