Jobs / Cat***
Lead Data Engineer – Physical AI Platform, Data Engineering
Cat*** · Irving, TX, United States
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Irving, TX, United States128,470-208,770 USD/yearlyRemote
Remuneration
128,470-208,770 USD/yearly
Location
Irving, TX, United States
Visa sponsorship
Sponsors visa
Job summary
Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Cat*** Inc. When you join Cat***, 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.
Benefits
Compensation andOffered may vary depending on multiple individualized factors, job level, marketSubject to plan eligibility, terms, and guidelines.This is aMedical, dental, and visionPaid 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
Qualifications
- 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
- 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 Technical Knowledge: Ability to apply strong knowledge of AWS services and data engineering
- support testing and deployment activities, troubleshoot issues, and ensure data solutions are configured, implemented, and operated effectively across environments
- 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 Cat*** data platforms such as Helios Data Platform
- Strong foundation developing and deploying Python solutions to a production environment
Responsibilities
- 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.
- 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
Skills
Leadership
Degrees
AssociateDegree
Work schedule
Shift
Industry
AutomotiveInsuranceMedia
Company size
EnterpriseSmb
Relocation
Yes