Data Engineer

CATERPILLAR INC.

Peoria Heights, IL, United States

about 2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$97,530.0 - $158,480.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Amazon Web Services Data Analysis Microsoft Azure BigQuery Information Engineering Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Machine Learning Power BI Tableau (Software) Snowflake

+2 more

Data Analytics Data Pipelines

Job description

Build and enhance BI solutions, dashboards, and analytics.
Develop and maintain Power BI reports.
Design and optimize data pipelines and ETL processes.
Perform data analysis, troubleshooting, and root cause analysis.
Collaborate with business and IT teams to deliver data-driven solutions.

Requirements

Python & SQL
ETL/ELT, Data Pipelines & Data Modeling
Power BI/Tableau
AWS/Azure/GCP
Snowflake/BigQuery
Machine Learning & Statistics
Data Warehousing & Data Quality
Supply Chain / Capacity Planning experience, * 3+ years of relevant experience
Bachelor’s degree (Master’s also accepted)
Strong experience in data engineering, analytics, and visualization

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner · World Congress 2026 Europe

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

Videos

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail