Senior Data Engineer, Cat Digital

Caterpillar

Quick summary

Work type: On-site
Location: Chicago, Illinois
Salary: $112,710–$183,140 / yr
Posted: 7 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $176k

This role $148k

$100k most similar roles pay here $231k

This role pays less than 74% of similar roles. Most pay $141,906–$210,112 — 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 38 open roles on FindRole.

Listed pay typically runs $128,470–$208,770 across 38 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Senior Data Engineer, Cat Digital

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As a Data Engineer on the Marketing Data & Engineering team at Cat Digital, you will support the implementation of data products by building and documenting data ingestion pipelines and standardized data models for the Digital Intelligence Warehouse. This foundational role involves collaborating with international teams to ensure successful project outcomes and executing proofs of concept as needed. You will work across multiple cloud database technologies such as BigQuery and Snowflake, applying best practices for performance and scalability while maintaining regular communication with peers and leadership. Ideal candidates possess extensive experience in data pipeline engineering, proficiency in SQL and Python, familiarity with web tracking and ad platform data sets, and a proven track record of progressive technical ownership.

Skills

AWS Google Cloud BigQuery Snowflake SQL Python Azure DevOps CI/CD ETL Reverse ETL Kubernetes Docker Terraform Prometheus Grafana

What you'll do

Build data ingestion pipelines using approved patterns for marketing decisions.
Implement and document standardized data models for enterprise-wide use.
Construct and document data pipelines to support complex data models.
Execute proofs of concept to validate new solutions in a rapid-paced environment.
Regularly report on initiative status to peers and leadership within the organization.
Collaborate with international teams to achieve shared marketing goals effectively.

What we're looking for

Extensive experience in building and supporting cloud-based data pipelines.
Proficient in cloud database technologies with best practices for performance and scalability.
Demonstrated progressive technical ownership and ability to work autonomously.
Strong knowledge of SQL, Python, and web tracking/social/ad platform datasets.
Experience with ETL/Reverse ETL technologies and Microsoft productivity tools.
Familiarity with Google Cloud and AWS capabilities, including BigQuery or Snowflake.

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