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Lead Data Engineer – Physical AI Platform

Pay
$128,470–208,770/yearAnnual period assumed — pay source
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.
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Not stated
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Before you apply

Work authorization
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What you’ll work on

Full posting
  • Lead solution design for scalable real-time and batch data pipelines in Python

  • Build cloud-native data ingestion and streaming solutions on AWS

  • Own data integration frameworks and source pipelines for CI Autonomy initiatives

  • Set up automated testing and data quality controls across data systems

  • Monitor production data platforms and lead root-cause analysis using CloudWatch

From the employer’s posting
Lead the solution design and optimization of scalable data pipelines and microservices in Python
Drive the development of cloud-native data ingestion and streaming solutions leveraging AWS services including Kinesis, S3, DynamoDB, EventBridge
Own the design, implementation, and operational excellence of data integration frameworks and source data pipelines supporting CI Autonomy initiatives
Establish and enforce automated testing, data quality controls, and validation frameworks
Lead operational monitoring, performance tuning, and root-cause analysis of production data platforms using observability tools such as CloudWatch
Education & alternatives
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

Benefits in the posting

Full benefits wording
  • 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)*
  • Health Lifestyle Programs*
  • Voluntary Benefits and Employee Discounts*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement
  • Relocation is available for this position.
  • Visa sponsorship is available for eligible applicants.
  • Posting Dates:

From the employer’s posting.

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Posting record

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Status in our records
Live
First seen by us
Sep 25, 202640 days ago
Recorded sightings
121
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$128K–$209K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 40

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Caterpillar is hiring

31 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • AWS
  • Azure
  • DynamoDB
  • NoSQL
  • S3
Where the posting names them
- 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
- 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
- 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.
- 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
- 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.
- 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
- 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 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

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.


Job Description

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 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.

Not ready to apply? Join our Talent Community.

Source details

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Pay
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.
Location & working pattern

Irving, Texas

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Domestic relocation assistance is available for this position. - Visa sponsorship is available with this position. Summary Pay Range:
More source context
Relocation is available for this position. Visa sponsorship is available for eligible applicants. Posting Dates:

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