Analytics Data Engineer: Cloud Data Pipelines & Snowflake

Caterpillar Financial Services Corporation; Chicago (IL); On-site; USD 89,000 - 145,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Paid time off

Job summary

Caterpillar Inc. in Chicago or Peoria is seeking an Analytics Engineering professional to help develop data-driven decisions for One Funnel and OneSite through a robust data infrastructure.

You will design and maintain data pipelines on AWS using MWAA Airflow and Snowflake, implement CI/CD workflows, and collaborate across teams to ensure scalable, reliable data systems that power business decisions.

Qualifications

• Bachelor's or master's degree in Computer Science, Information Technology, or related field.
• Experience applying SQL and Python to solve business challenges.
• Working knowledge of cloud technologies (AWS, MWAA Airflow, S3, EC2).
• Experience with CI/CD pipelines (Azure DevOps, Git Actions, or equivalent).
• Experience with data formats such as JSON or XML and automated testing.

Responsibilities

• Design, develop, and maintain data pipelines and infrastructure using AWS Services, MWAA Airflow, Snowflake, GIT and Azure DevOps CD-CI pipelines.
• Work with other team members to ensure the performance, reliability, and scalability of our data systems
• Keep up to date with industry trends and best practices related to data engineering and related technologies
• Troubleshoot and debug issues with data pipelines and systems
• Write and maintain technical documentation for data engineering processes and systems

Skills

Analytical thinking

SQL

Python

Cloud technologies

CI/CD pipelines

Agile methodologies

Version control

Education

Bachelor's or Master’s degree in CS/IT

Tools

MWAA Airflow

Snowflake

Azure DevOps

Git Actions

GitHub

Power BI

Job description

Caterpillar Inc. in Chicago or Peoria is seeking an Analytics Engineering professional to help develop data-driven decisions for One Funnel and OneSite through a robust data infrastructure.

You will design and maintain data pipelines on AWS using MWAA Airflow and Snowflake, implement CI/CD workflows, and collaborate across teams to ensure scalable, reliable data systems that power business decisions.