Define and lead enterprise connected asset (Machines & Engines) data quality strategy aligned to business objectives and platform architecture.
Establish standardized data quality frameworks, rules, and metrics (completeness, accuracy, timeliness, consistency).
Design and implement scalable data validation, monitoring, and anomaly detection solutions.
Ensure integration of data quality controls within data pipelines, APIs, and platforms.
Partner with architecture teams to embed data quality by design in system development.
AI-Enabled Data Quality & Automation
Drive adoption of AI/ML techniques for data profiling, anomaly detection, and root cause analysis.
Implement automated data quality checks within CI/CD and data pipelines.
Enable predictive data quality monitoring using telemetry, logs, and metadata insights.
People & Organizational Leadership
Build, mentor, and lead a team of data quality engineers and analysts.
Develop capabilities in data engineering, automation, and quality engineering practices.
Foster a culture of quality, accountability, and continuous improvement.
Manage resource planning, hiring, performance coaching, and career development.
Cross-Functional Collaboration & Program Execution
Collaborate with software engineering, data engineering, analytics, and product teams to define quality requirements and SLAs.
Partner with program and platform teams to ensure data quality readiness for releases and NPI programs.
Drive issue resolution workflows and root cause analysis for data defects.
Communicate data quality health metrics 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 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)
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: 6/1-6/19/26
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.
Benefits
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.Medical, dental, and vision benefits*Paid time off plan (Vacation, Holidays, Volunteer, etc.)*401(k) savings plans*Health Savings Account (HSA)*Flexible Spending Accounts (FSAs)*Health Lifestyle Programs*Employee Assistance Program*Voluntary Benefits and Employee Discounts*Career Development*Incentive bonus*Disability benefitsLife InsuranceParental leaveAdoption benefitsTuition ReimbursementThese benefits also apply to part-time employeesThis position requires working onsite five days a week.Relocation is available for this position.Visa Sponsorship is not availableHealth insuranceDental insuranceVision insurance401(k)Paid time offFlexible schedulePerformance bonus
Additional Information
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.
Caterpillar · Mossville, IL