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 data platforms
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
Additional Details
This position requires the candidate to work full-time at the Irving, TX office (Dallas)
Domestic relocation assistance is available for this position.
Visa sponsorship is available with this position.
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.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
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