Senior Python Data Engineer – Onsite, Growth & Benefits

Caterpillar; Chicago (IL); On-site; USD 113,000 - 183,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Health Savings Account (HSA)

Flexible Spending Accounts (FSAs)

Career Development

Incentive bonus

Disability benefits

Life Insurance

Parental leave

Tuition Reimbursement

Job summary

Caterpillar’s Cat Digital invites a Senior Software Engineer to join the Data Engineering team. You will develop Python data pipelines powering analytics and AI-enabled applications across global platforms, collaborating with cross-functional teams to deliver scalable data solutions.

Responsibilities include implementing CI/CD pipelines, integrating AWS services, and ensuring robust testing and data quality throughout the development lifecycle.

Qualifications

• Proficiency in Python and data engineering concepts.
• Experience building scalable data pipelines and ETL/ELT processes.
• Strong understanding of software development lifecycle and testing practices.
• Experience with CI/CD tools and cloud services (AWS).
• Familiarity with Snowflake data platform and data warehousing concepts.
• Hands-on with GenAI developer tools and AI-assisted coding.

Responsibilities

• Develop Python data pipelines that build business data objects supporting applications.
• Design, implement and maintain CICD pipelines for data projects.
• Collaborate with cross-functional teams to translate requirements into scalable data solutions.
• Work directly on complex data engineering problems and provide solution-focused results.
• Ensure code quality with unit/integration testing and robust deployment strategies.

Skills

Python

OOP

Git

CI/CD

AWS

Snowflake

GenAI tools

GitHub Copilot

Tools

Jenkins

Github Actions

Azure DevOps

Job description

Caterpillar’s Cat Digital invites a Senior Software Engineer to join the Data Engineering team. You will develop Python data pipelines powering analytics and AI-enabled applications across global platforms, collaborating with cross-functional teams to deliver scalable data solutions.

Responsibilities include implementing CI/CD pipelines, integrating AWS services, and ensuring robust testing and data quality throughout the development lifecycle.