Data Engineer - Snowflake, SQL & Cloud Analytics

Caterpillar Brazil; Northern (KY); Hybrid; USD 89,000 - 134,000; Full time

Benefits offered by this job

Medical benefits

401(k) savings plans

Health Savings Account (HSA)

Flexible Spending Accounts (FSAs)

Career Development

Job summary

Caterpillar Inc. is seeking a Data Specialist to support Procurement and Supply Chain decisions through modern data engineering and analytics solutions.

You will design, build, and troubleshoot data pipelines, modernize legacy SAS processes to Snowflake, and collaborate with stakeholders to improve data quality and governance across platforms. The role involves hands-on data engineering, data investigation, production support, and engagement with business teams to deliver trusted data products

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• Experience delivering analytical data solutions and data products.
• Experience with Snowflake, SQL, cloud-based data platforms.

Responsibilities

• Design, build, and support data pipelines and analytical data products.
• Investigate data discrepancies and ensure data quality and lineage.
• Collaborate with Product Owners and Data Stewards to translate requirements.

Skills

Data engineering

SQL

Snowflake

Python

Cloud data platforms

Agile development

Data governance

Data quality

Communication

Stakeholder management

Education

Bachelor's degree in Computer Science

Bachelor's degree in Information Systems

Bachelor's degree in Engineering/Data Analytics

Tools

Power BI

Tableau

dbt

GitHub Copilot

Job description

Caterpillar Inc. is seeking a Data Specialist to support Procurement and Supply Chain decisions through modern data engineering and analytics solutions.

You will design, build, and troubleshoot data pipelines, modernize legacy SAS processes to Snowflake, and collaborate with stakeholders to improve data quality and governance across platforms. The role involves hands-on data engineering, data investigation, production support, and engagement with business teams to deliver trusted data products