This role pays less than
72%
of similar roles. Most pay
$126,800–$211,200
— the shaded band above.
At the midpoint, this role pays about
$128k
versus about
$169k
for comparable roles.
Based on 240 similar postings.
Employer
About Caterpillar
Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing
Caterpillar currently has
74 open roles
on FindRole.
Listed pay typically runs
$128,470–$190,176
across 73 roles with salary data.
As a Data Engineer on the Platform Data Engineering team, you will develop Python data pipelines to build business data objects that support various applications. You will be responsible for interpreting design requirements for engineering implementation, performing all programming and project management tasks independently, and resolving complex technical problems. Your daily work involves building and deploying CI/CD pipelines, implementing source-to-target mapping as pipeline code, and conducting unit and integration testing to maintain high software quality standards. The role requires proficiency in Python, OOP principles, Git version control, and CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps. You will work with AWS components including Lambda, DynamoDB, S3, and SageMaker, alongside relational and NoSQL databases such as PostgreSQL and MongoDB to manage data for connected assets.
What does a Data Engineer earn?
Median $177900 from 224 postings across 57 companies.
Python
Oracle SQL
Cassandra
Linux
Git
Data Pipelines
MLOps
Machine Learning
Data Architecture
SQL
NoSQL
Data Visualization
Business Intelligence
STDF
Software Engineering
Data Engineering