Data Engineer
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Role details
Tech stack
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Job description
- Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
- Perform debugging, troubleshooting, modifications and testing of integration solutions
- Operationalize the developed jobs, processes and models.
- Create databases and infrastructure to process data at scale
- Create solutions and methods to monitor systems and solutions
- Automate code testing and pipelines
- Engage with business partners to participate in design and development of data integration/transformation solutions per functional requirements.
- Engage and actively seek industry perspectives through, continuous learning, peer groups, etc.
What You Will Have:
- 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.
Requirements
- 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.
- Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.
Benefits & conditions
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
- Medical, dental, and vision benefits*
- Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
- 401(k) savings plans*
- Health Savings Account (HSA)*
- Flexible Spending Accounts (FSAs)*
- Health Lifestyle Programs*
- Employee Assistance Program*
- Voluntary Benefits and Employee Discounts*
- Career Development*
- Incentive bonus*
- Disability benefits
- Life Insurance
- Parental leave
- Adoption benefits
- Tuition Reimbursement
- These benefits also apply to part-time employees
This position requires working onsite five days a week.
About the company
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you’re joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don’t just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
As a Data Engineer on the Global Parts Pricing Data Engineering team, you will design and build scalable data platforms, pipelines, and cloud solutions that power pricing decisions across a global business. You will solve complex data challenges, transform diverse data sources into trusted and actionable insights, and deliver solutions that drive significant business outcomes. Working alongside data scientists, analysts, and business stakeholders, you will develop high-performance data products, automate critical processes, and help shape the future of data and AI-driven pricing determination., There’s more to work at Caterpillar than just the work itself. We hire smart, friendly people and it shows in our culture. We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work. We make sure our employees feel continuously challenged while also supported. We provide professional growth opportunities, including leadership programs. We celebrate the diversity of our team, while also working together as one Caterpillar.
Our culture, like everything at our company, is made possible by each employee’s contribution. Person by person, we create the environment we work in, and we are proud of the Caterpillar we’ve built.
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