Lead Data Engineer – Physical AI Platform, Data Engineering

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.

Help Build the Future of Caterpillar –

At Caterpillar, technology always has a purpose, which is to solve our customers’ toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world - on real jobsites, at global scale.

You’ll build and deploy against one of the most unique data foundations - over 1.6 million connected assets generating real-world data daily. These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.

Be Part of What’s Next in Autonomous Construction Sites

Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossible - intelligent machines operating in dynamic jobsites - into reality.

Our connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against.

If this work motivates you, we invite you to join our team. In these roles, you’ll work at the intersection of the physical and digital worlds. You’ll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.

Apply today to build the new era of construction autonomy at Caterpillar.

Job Summary

As a Lead Data Engineer, you will design, build, and maintain scalable data pipelines, microservices, and cloud-based data platforms that deliver reliable, high-quality data for business and engineering teams. Working in an agile environment, you will help drive data architecture, performance, reliability, and continuous improvement across modern data solutions.

What You Will Do:

Actively collaborate with Principal Software Engineers and Data Architects to define solution architecture

Lead the solution design and optimization of scalable data pipelines and microservices in Python, enabling both real-time and batch data processing across enterprise platforms

Drive the development of cloud-native data ingestion and streaming solutions leveraging AWS services including Kinesis, S3, DynamoDB, EventBridge, and related technologies

Own the design, implementation, and operational excellence of data integration frameworks and source data pipelines supporting CI Autonomy initiatives

Partner with business, product, and engineering stakeholders to translate complex requirements into scalable data architectures, workflows, mappings, and system designs

Establish and enforce automated testing, data quality controls, and validation frameworks to ensure integrity, reliability, and compliance across distributed data ecosystems

Lead operational monitoring, performance tuning, and root-cause analysis of production data platforms using observability tools such as CloudWatch to maintain high availability and service reliability

What You Will Have:

Decision Making and Critical Thinking: Ability to lead the analysis and resolution of complex issues within distributed data platforms, designing scalable, and resilient solutions

Effective Communications: Ability to communicate across teams by sharing feedback constructively, listening to others, and creating documentation that makes data systems and processes easy to understand and support

Software Development: Experience in leading the design and development of backend systems and data pipelines using Python, Java, and modern frameworks, providing technical directions and ensuring the delivery of reliable, scalable solutions

Software Development Life Cycle: Experience leading the delivery of data engineering solutions in an Agile environment by guiding work through the full development lifecycle, translating requirements into technical solutions, and ensuring projects are delivered with quality, reliability, and business value

Software Integration Engineering: Capability to lead the design and integration of APIs, data pipelines, streaming platforms, and databases to enable reliable data exchange across enterprise systems and partner platforms

Software Product Design/Architecture: Expertise leading the design of scalable, event-driven data systems and architectures, guiding technical decisions and ensuring solutions are reliable, maintainable, and aligned with business needs.

Software Product Technical Knowledge: Ability to apply strong knowledge of AWS services and data engineering tools to define requirements, support testing and deployment activities, troubleshoot issues, and ensure data solutions are configured, implemented, and operated effectively across environments

Software Product Testing: Ability to define and implement testing strategies, including functional, performance, and data quality testing, to ensure reliable, scalable, and high-performing data solutions across the development lifecycle.

Top Candidates Will Have:

Bachelor’s degree in Computer Science, Computer Engineering, or related field

8+ years of experience in data engineering or related disciplines with increasing responsibility

Extensive experience on modern, large scale, complex Caterpillar data platforms such as Helios Data Platform

Strong foundation developing and deploying Python solutions to a production environment

Experience leading teams to build high-throughput, scalable data pipelines

Strong hands-on experience with AWS data services (Kinesis, S3, DynamoDB, EventBridge, etc.) at scale

Strong in SQL, including data quality and validation practices

Experience in deploying software using CI/CD tools such as Azure DevOps, Jira, Jenkins, etc.

Experience developing microservices that support real-time data ingestion

Experience developing software applications using relational and noSQL databases

Ability to ensure data integrity across distributed and streaming systems

Experience with monitoring, testing, and automation in large-scale data environments

Summary Pay Range:

$128,470.00 - $208,770.00

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 available for eligible applicants.

Posting Dates:

Any offer of employment is conditioned upon the successful completion of a drug screen.

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