Data Engineer (Data Scientist)

Role Overview

Join our Pricing Analytics – Enterprise Strategy – Global Financial Division Team as a Data Engineer to design and build scalable data platforms, pipelines, and cloud solutions that power pricing decisions across a global business.

What You Will Do

Design and build scalable data platforms, pipelines, and cloud solutions, solve complex data challenges, transform diverse data sources into trusted and actionable insights, and deliver solutions that drive significant business outcomes.

Why It Might Be a Fit

Top candidates will have extensive experience in designing and developing software applications in Python, experience with AI assisted software development, and experience working with Git version control.

Requirements

• Data Pipeline Development: Ability to design, build, and optimize scalable batch and real-time data pipelines that deliver trusted, high-quality data for analytics, reporting, and AI applications.
• Cloud Data Engineering: Experience with cloud-based data platforms, storage, and processing technologies; ability to develop resilient, scalable, and secure data solutions.
• Data Modeling & Integration: Knowledge of data modeling, transformation, and integration techniques; ability to consolidate diverse data sources into well-governed, consumable data products.
• Data Observability & Quality: Experience implementing data quality frameworks, monitoring, testing, and automated validation to ensure reliable and trusted data assets.
• Collaboration & Business Impact: Ability to partner with cross-functional teams to understand business needs and deliver data solutions that support pricing decisions, analytics, automation, and AI-enabled outcomes.
• Extensive experience in designing and developing software applications in Python.
• Experience with AI assisted software development (ex. Github Copilot, Cursor, Codex, etc)
• Extensive experience working with Git version control
• Extensive experience deploying software using CI/CD tools such as Github Actions, Azure Devops etc.
• Experience with AWS components such as Bedrock, Lambda, Fargate, S3, Sagemaker, IAM and RDS
• Experience with databases such as PostgreSQL, Snowflake, Oracle, etc.
• Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
• Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
• Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
• Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
• Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Benefits

• Work Life Harmony
• Earned and medical leave
• Relocation assistance
• Holistic Development
• Personal and professional development through Caterpillar ‘s employee resource groups across the globe
• Career developments opportunities with global prospects
• Health and Wellness
• Medical coverage -Medical, life and personal accident coverage
• Employee mental wellness assistance program
• Financial Wellness
• Employee investment plan
• Pay for performance -Annual incentive Bonus plan