Engineering Manager, Data Quality

Caterpillar

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mossville, ILIrving, TX
Salary
$147,760–$240,110 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Sep 27, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k
This role $194k
$133k most similar roles pay here $284k

This role pays less than 57% of similar roles. Most pay $149,137–$268,978 — the shaded band above. At the midpoint, this role pays about $194k versus about $209k 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.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Engineering Manager, Data Quality

The Engineering Manager – Data Quality leads a high-performing team responsible for ensuring the accuracy, integrity, consistency, and reliability of enterprise connectivity data across various platforms and products. This role involves establishing scalable data quality frameworks, automated validation pipelines, and compliance-aligned processes throughout the data lifecycle to support analytics, AI/ML models, and business decision-making. The manager will design monitoring and anomaly detection solutions, embed controls into APIs and architecture, and drive AI/ML adoption for data profiling. Key technical requirements include experience with ETL/ELT frameworks, cloud platforms like Azure, AWS, or GCP, and streaming data platforms such as Kafka. Candidates must possess expertise in data governance, metadata management, and data lineage tools while utilizing CI/CD pipelines and DevOps practices to manage the complex problem of maintaining high-quality connected asset data within a regulated industrial environment.

What does a Engineering Manager earn?

Median $254300 from 143 postings across 46 companies.

See salary data

What you'll do

  • Lead the data quality strategy for connected asset data across enterprise platforms and products.
  • Establish standard data quality frameworks, rules, and KPIs such as accuracy, completeness, and consistency.
  • Design scalable validation, monitoring, and anomaly detection solutions for enterprise data systems.
  • Embed automated quality controls into pipelines, APIs, and platform architecture from the start.
  • Drive AI/ML adoption for data profiling, anomaly detection, and root cause analysis.
  • Implement automated quality checks within CI/CD and data pipelines to improve efficiency.
  • Lead, develop, and coach a team of data quality engineers and analysts.
  • Collaborate with cross-functional teams to define requirements, resolve defects, and communicate risk to leadership.

What we're looking for

  • Bachelor’s or master’s degree in computer science, software engineering, data engineering, or a related field (preferred).
  • 8+ years of experience in software/data engineering (preferred).
  • 2–5 years of experience in leadership roles (preferred).
  • Hands-on experience with data pipelines, ETL/ELT frameworks, and cloud platforms such as Azure, AWS, or GCP.
  • Experience implementing automated testing and validation frameworks for data systems.
  • Strong experience in data quality, data governance, and data engineering ecosystems.
  • Knowledge of data modeling, metadata management, and data lineage tools.
  • Familiarity with streaming data platforms, AI/ML-based monitoring, and CI/CD pipelines (preferred).

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