Caterpillar Inc. · 5 hours ago
Lead Software Engineer
Caterpillar Inc. is a global team dedicated to building stronger, sustainable communities through innovation. They are seeking a Lead Software Engineer to drive AI-driven solutions and improve process efficiency within their Strategic Procurement and Planning Division.
ConstructionMachinery ManufacturingManufacturingMechanical Engineering
Responsibilities
Provide thought leadership on methodology to identify high value opportunities to automate processes and improve employee efficiency through the use of AI technologies
Lead workshops and design sessions on high value use cases for AI and process automation
Foster a culture of technical excellence, collaboration, and continuous learning
Drive Agile practices to rapidly create prototypes that lead to a robust production solution
Designing, creating, deploying, and sustaining software solutions on a large scale
Implementing application architectural patterns, including but not limited to MVC, Microservices, and Event-driven architectures
Utilizing CI/CD tools such as Azure DevOps
Deploying and managing software on public cloud platforms like AWS or Azure
Collaborating within an Agile framework, preferably following Scrum methodologies
Other AWS services like Lambda, cloud formation, cloud watch, S3
Good working knowledge on Python modules like Pandas, Numpy, multithreading, requests, etc
Possess a solid understanding of version control systems, with a particular focus on GIT
High Proficiency with SQL
Lead the development of robust data pipelines for ingestion, transformation, and delivery using Snowflake, dbt, and cloud-native tools
Optimize data storage, retrieval, and processing for performance, reliability, and cost-efficiency
Implement data quality frameworks, lineage tracking, and schema evolution strategies
Partner with subject matter experts, and business leaders to understand requirements and deliver impactful data solutions
Document a technical solution design based on high level requirements from process and business experts
Communicate technical concepts to non-technical audiences and influence strategic decisions
Qualification
Required
Bachelor's or master's degree in computer science, Engineering, or related field
10+ years of experience in data engineering, with at least 2+ as team lead
Excellent communication, leadership, and stakeholder management skills
Proven experience in Big Data processing and Data Warehousing
Good understanding of AI concepts and latest developments (Gen AI, MCP, ATA, etc.)
Deep expertise in Snowflake, SQL, NoSQL, and distributed data systems
Expertise in building end-to-end near real-time data pipelines for OLTP & OLAP
Strong architecture exposure for building robust, scalable Data Platforms
Strong analytical skills and solid knowledge of computer science fundamentals
Deep exposure to Azure and AWS cloud platforms
Provide thought leadership on methodology to identify high value opportunities to automate processes and improve employee efficiency through the use of AI technologies
Lead workshops and design sessions on high value use cases for AI and process automation
Foster a culture of technical excellence, collaboration, and continuous learning
Drive Agile practices to rapidly create prototypes that lead to a robust production solution
Designing, creating, deploying, and sustaining software solutions on a large scale
Implementing application architectural patterns, including but not limited to MVC, Microservices, and Event-driven architectures
Utilizing CI/CD tools such as Azure DevOps
Deploying and managing software on public cloud platforms like AWS or Azure
Collaborating within an Agile framework, preferably following Scrum methodologies
Other AWS services like Lambda, cloud formation, cloud watch, S3
Good working knowledge on Python modules like Pandas, Numpy, multithreading, requests, etc
Possess a solid understanding of version control systems, with a particular focus on GIT
High Proficiency with SQL
Lead the development of robust data pipelines for ingestion, transformation, and delivery using Snowflake, dbt, and cloud-native tools
Optimize data storage, retrieval, and processing for performance, reliability, and cost-efficiency
Implement data quality frameworks, lineage tracking, and schema evolution strategies
Partner with subject matter experts, and business leaders to understand requirements and deliver impactful data solutions
Document a technical solution design based on high level requirements from process and business experts
Communicate technical concepts to non-technical audiences and influence strategic decisions
This position requires working onsite five days a week
Preferred
Experience with Snowflake Cortex for rapid prototyping of AI solutions
Knowledge of process automation solutions such as Bizagi and Regrello
Experience with data transformation tools (dbt, Apache Spark, Azure Data Factory)
Experience building production-ready AI solutions
Familiarity with modern data visualization and BI tools (e.g., Power BI, Tableau, Looker)
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
Company
Caterpillar Inc.
For 100 years, we’ve been helping customers build a better, more sustainable world.
H1B Sponsorship
Caterpillar Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (363)
2024 (297)
2023 (261)
2022 (355)
2021 (223)
2020 (145)
Funding
Current Stage
Public CompanyTotal Funding
$3.51BKey Investors
US Department of EnergyAdvanced Propulsion Centre UK
2025-08-28Post Ipo Debt· $3.5B
2024-10-31Grant· $5.04M
2019-06-23Grant
Leadership Team
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