Engineering Manager – Data Quality

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. The Engineering Manager – Data Quality leads a high-performing team responsible for ensuring the accuracy, integrity, consistency, and reliability of enterprise connectivity data across platforms and products. This role combines technical leadership, people management, and data governance ownership to enable high-quality, trusted data that supports analytics, AI/ML models, and business decision-making. The manager collaborates closely with software engineering, data engineering, analytics, product management, telecom and governance teams to establish scalable data quality frameworks, automated validation pipelines, and compliance-aligned processes across the data lifecycle.

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, timeliness, and consistency. Design scalable validation, monitoring, and anomaly detection solutions for enterprise data. Embed data quality controls into pipelines, APIs, and platform architecture from the start. Partner with architecture teams to ensure data quality by design in system development. 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 and coverage. Lead and develop a team of data quality engineers and analysts, building strong technical and quality capabilities. Promote a culture of quality, accountability, and continuous improvement through coaching and people leadership. Collaborate across engineering, analytics, product, and platform teams to define requirements, support releases/NPI, resolve defects, and communicate quality health and risks to leadership. What You Will Have: Bachelor’s or master’s degree in computer science, Software Engineering, Data Engineering, or related field 8+ years of experience in software/data engineering, with 2–5 years in leadership roles Strong experience in data quality, data governance, and data engineering ecosystems Hands-on experience with data pipelines, ETL/ELT frameworks, and cloud platforms (Azure, AWS, or GCP) Knowledge of data modeling, metadata management, and data lineage tools Experience implementing automated testing and validation frameworks for data systems Top Candidates Will Also Have: Experience with AI/ML-based data quality monitoring Familiarity with streaming data platforms (Kafka, event-driven architectures) Exposure to regulated environments (industrial, manufacturing, healthcare, finance) Data Quality Strategy AI-Enabled Data Quality & Automation Knowledge of CI/CD pipelines and DevOps for data platforms Additional Skills: This position requires the candidate to be based in Peoria, ILL. Relocation assistance is available for this position Visa sponsorship is NOT available for this position LI# Posting Dates:7/31-8/14     Summary Pay Range: $147,760.00 - $240,110.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits* Paid time off