This role pays less than
72%
of similar roles. Most pay
$140,262–$211,200
— the shaded band above.
At the midpoint, this role pays about
$148k
versus about
$176k
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
62 open roles
on FindRole.
Listed pay typically runs
$131,789–$192,710
across 61 roles with salary data.
As a Senior Data Engineer on the Helios Data Engineering team, you will develop Python data pipelines to build business data objects that support various applications. You will work independently on complex technical problem identification and resolution while interpreting design requirements for engineering implementation. Your daily responsibilities include building and deploying CI/CD pipelines, implementing source to target mapping as pipeline code, and performing unit and integration testing to maintain high software quality standards. The role requires extensive experience 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 Bedrock, Lambda, Dynamo, Fargate, S3, SageMaker, IAM, and RDS, alongside relational and noSQL databases such as PostgreSQL, DynamoDB, MongoDB, and Oracle to solve complex data engineering challenges.
What does a Data Engineer earn?
Median $183138 from 214 postings across 58 companies.
Azure
Python
SQL
Spark
Databricks
Azure Data Factory
Data Lake
Synapse Analytics
Azure Functions
ETL
Hadoop
NoSQL
Big Data
Data Modeling
Data Warehousing
DevOps
Real-Time Processing