Career Area:Technology, Digital and Data
Job Description:Job SummaryAs 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 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 in the Chicago, IL office.
- Domestic relocation assistance is available for this position.
Summary Pay Range:$112,710.00 - $183,140.00
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.
Not ready to apply? Join our Talent Community.
