Senior Data Engineer - Physical AI Platform, Data Engineering

Caterpillar Inc.; Irving (TX); On-site; USD 113,000 - 183,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Relocation assistance

Vacation, PTO and holidays

Job summary

Caterpillar Inc. is seeking a Senior Data Engineer in Irving, TX to design, build, and maintain scalable data pipelines and cloud-based data platforms. You will collaborate with software engineers and data architects to deliver reliable data solutions in an agile environment.

You will work with Python and AWS services to enable real-time and batch processing, streaming, and data quality across enterprise systems, helping optimize performance and reliability at scale.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• 5+ years of experience in data engineering or related disciplines with increasing responsibility.
• Strong experience with modern Caterpillar data platforms such as Helios Data Platform.
• Proficient in Python and production-grade data pipelines.
• Experience leading teams to build high-throughput, scalable data pipelines.
• Strong hands-on experience with AWS data services at scale (Kinesis, S3, DynamoDB, EventBridge).
• Experience deploying software using CI/CD tools such as Azure DevOps, Jira, Jenkins.
• Ability to design and integrate APIs, data pipelines, streaming platforms, and databases.

Responsibilities

• Actively collaborate with Lead Software Engineers and Data Architects to define and implement solution architecture
• Implement scalable data pipelines and microservices in Python for real-time and batch processing
• Drive cloud-native data ingestion and streaming solutions using AWS services
• Lead design, implementation, and operational excellence of data integration frameworks
• Translate complex requirements into scalable data architectures and workflows
• Establish automated testing, data quality controls, and validation frameworks
• Implement monitoring, performance tuning, and root-cause analysis for data platforms

Skills

Python

Java

SQL

AWS

CI/CD

Data modeling

Leadership

Education

Bachelor’s degree in Computer Science or related field

Tools

Kinesis

S3

DynamoDB

EventBridge

CloudWatch

Azure DevOps

Jira

Job description

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.

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.

Job Summary

As a Senior 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 develop data architecture, performance, reliability, and continuous improvement across modern data solutions.

What You Will Do:

• Actively collaborate with Lead Software Engineers and Data Architects to define and implement solution architecture
• Implement the solution design and optimize 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
• Lead 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
• Implement 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 analyze and resolve 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: Extensive knowledge with 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 design and integrate APIs, data pipelines, streaming platforms, and databases to enable reliable data exchange across enterprise systems and partner platforms
• Software Product Design/Architecture: Understanding of 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 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: Extensive knowledge to implement and execute 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
• 5+ 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 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

Additional Details:

• This position requires the candidate to work full-time in Irving, TX office.
• Domestic relocation assistance is available for this position.

Summary Pay Range:

$112,710.00 - $183,140.00

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.