This role involves leading a team to integrate AI into engineering processes, enhancing productivity and quality while ensuring compliance with standards.
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.
What You Will Do:
Data Quality Strategy & Technical Leadership
AI-Enabled Data Quality & Automation
People & Organizational Leadership
Cross-Functional Collaboration & Program Execution
What You Will Have:
Top Candidates Will Have:
Additional Skills:
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.
* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.
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.
What You Will Do:
Data Quality Strategy & Technical Leadership
- 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 benefits
- Life Insurance
- Parental leave
- Adoption benefits
- Tuition Reimbursement
* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.
Similar Jobs at Caterpillar
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
The Lead Frontend Engineer will design and develop tablet-first applications for autonomous systems, oversee frontend architecture, optimize performance, and lead cross-team collaboration.
Top Skills:
AngularAWSAzureCapacitorGCPIonicJavaScriptNgrxNode.jsRxjsThree.JsTypescriptWebgl
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Design, deploy, operate, and monitor enterprise data center network solutions (Cisco ACI, Nexus, Radware load balancers). Support projects across regions, provide technical guidance, enforce security/operational best practices, participate in 24x7 on-call rotation, and troubleshoot complex data center network issues to ensure reliability and scalability.
Top Skills:
Application Delivery Controller (Adc)CcnaCisco AciCisco NexusData Center NetworkingFirewallsNx-OsRadware AlteonRadware Load BalancerRoutersSpine-Leaf ArchitecturesSwitches
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
The Direct Procurement IT Solution Lead partners with stakeholders to deliver technology solutions for procurement, focusing on business analysis, data integration, and solution design.
Top Skills:
GenaiPower BISnowflake
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

